[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"_public_publisher_byId_9a0d1527-a18d-4308-81cc-a39c7206c768":3,"_public_publication_all{\"sortAscending\":false,\"sortField\":\"updateTime\",\"page\":0,\"size\":10,\"facet\":true,\"searchKey\":\"publisherId:9a0d1527-a18d-4308-81cc-a39c7206c768,\"}":98},{"code":4,"data":5,"meta":18},"SUCCESS",{"id":6,"createTime":7,"updateTime":8,"relativeEntities":9,"slug":10,"properties":11,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":20,"manageAffiliations":45,"indexDatabases":57,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},"9a0d1527-a18d-4308-81cc-a39c7206c768","2023-12-05T07:03:04.553+00:00","2025-11-21T10:05:40.881+00:00",[],"Structural-Safety",{"issn":12,"title":14},{"VOID":13},"01674730",{"EN":15},"Structural Safety","PUBLISHER","PENDING",null,3,[21,29,37],{"id":22,"createTime":23,"updateTime":24,"relativeEntities":25,"label":26,"description":28,"parentId":18,"standard":18,"scholarHubFieldId":18},"9fff016e-a702-419a-99f5-6458d650e144","2023-05-29T10:24:17.205+00:00","2023-11-21T06:42:13.771+00:00",[],{"EN":27},"Building and Construction",{},{"id":30,"createTime":31,"updateTime":32,"relativeEntities":33,"label":34,"description":36,"parentId":18,"standard":18,"scholarHubFieldId":18},"4c01df47-b306-4266-a143-623ac8e889e8","2023-05-29T10:24:09.168+00:00","2023-11-21T07:58:02.439+00:00",[],{"EN":35},"Civil and Structural Engineering",{},{"id":38,"createTime":39,"updateTime":40,"relativeEntities":41,"label":42,"description":44,"parentId":18,"standard":18,"scholarHubFieldId":18},"e1a39ed4-a364-4c4c-8c9f-9813d306b466","2023-05-29T10:24:08.368+00:00","2023-11-21T06:25:39.201+00:00",[],{"EN":43},"Safety, Risk, Reliability and Quality",{},[46],{"id":47,"createTime":48,"updateTime":49,"relativeEntities":50,"slug":51,"properties":52,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":55,"url":18,"parentIds":56,"statistic":18},"c749757b-dddf-4e6f-9697-b9c441adc06c","2023-05-29T10:24:07.401+00:00","2025-11-21T10:06:14.206+00:00",[],"Elsevier",{"title":53},{"EN":51},"AFFILIATION",11,[],[58,79],{"id":59,"indexDatabase":60,"url":72,"indexYears":73,"academicFieldIds":74,"indexDatabaseRanking":78},"4f8e379c-0719-4a73-90b7-1aad02acba3c",{"id":61,"createTime":62,"updateTime":63,"relativeEntities":64,"label":65,"description":67,"key":69,"publicationTags":70,"standard":18},"3c7051d4-eb7d-4c57-a56b-36fc74c5d1e9","2023-05-22T09:57:18.509+00:00","2025-11-21T10:07:52.274+00:00",[],{"EN":66,"VI":66},"Scopus - Elsevier",{"EN":66,"VI":68},"Cơ sở dữ liệu Scopus thuộc Elsevier","scopus",[71],"SCOPUS","https:\u002F\u002Fwww.scopus.com\u002Fsourceid\u002F17470","1982,1984-2025",[75,76,77],"341086da-4c0c-4667-a689-43b4cefbf8df","2c538a3f-b327-4a8f-ad9c-d395351696e8","3d47b926-47e0-4925-97e3-2065d39cbce5","SCOPUS__Q1",{"id":80,"indexDatabase":81,"url":95,"indexYears":18,"academicFieldIds":96,"indexDatabaseRanking":18},"5cde605f-1bbc-4b89-b57b-e8715dd80804",{"id":82,"createTime":83,"updateTime":84,"relativeEntities":85,"label":86,"description":88,"key":91,"publicationTags":92,"standard":18},"a4921856-b128-4d9f-8f1f-e80813d3bbd4","2023-05-22T09:59:31.026+00:00","2025-11-21T10:07:52.153+00:00",[],{"EN":87,"VI":87},"ISI\u002FSCIE - Science Citation Index Expanded",{"VI":89,"EN":90},"Cơ sở dữ liệu SCIE","SCIE database","scie",[93,94],"SCIE","ISI","https:\u002F\u002Fmjl.clarivate.com\u002Fsearch-results?issn=0167-4730",[97],"96be9908-75c8-451e-97d5-be368898e604",{"meta":99,"data":101},{"total":100},"729",[102,169,287,362,439,548,650,722,793,852],{"id":103,"createTime":104,"updateTime":105,"relativeEntities":106,"slug":107,"properties":108,"entityType":115,"verifyStatus":116,"verifyTime":105,"verifyNote":117,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118,"primaryUrl":119,"fullTextUrl":18,"authors":120,"publicationType":137,"publisherRelationship":138,"citationCount":18,"citationInfo":18,"publishDate":166,"publishYear":167,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":168},"f2e9ce74-fd4a-4455-af38-88cea04b6b7a","2024-01-10T09:29:42.731+00:00","2025-02-16T23:58:59.785+00:00",[],"The-Level-Crossing-Method-applied-to-mean-wind-speeds-from-mixed-climates",{"references":109,"title":111,"doi":113},{"VOID":110},"Bendat, 1958\nBlackman, 1959\nCook, 2015, A statistical model of the seasonal-diurnal wind climate at Adelaide, Austr Meteorol Oceanogr J, 65, 206, 10.22499\u002F2.6502.003\nDavenport, 1968\nFisher, 1928, Limiting forms of the largest or smallest of a sample, Proc Cambridge Philos Soc, 24, 180, 10.1017\u002FS0305004100015681\nGomes, 1977, On the prediction of extreme winds from the parent distribution, JWEIA, 2, 21\nGomes, 1978, Extreme wind speeds in mixed climates, JWEIA, 2, 331\nGumbel, 1958\nHarris, 2008, The macro-meteorological spectrum – a preliminary study, JWEIA, 96, 2294\nHarris, 2014, A simulation method for the macro-meteorological wind speed and the implications for extreme value analysis, JWEIA, 125, 146\nHarris, 2014, The parent wind speed distribution: why Weibull?, JWEIA, 131, 72\nLanczos, 1956\nPress, 1989\nRice, 1954, Mathematical analysis of random noise\nTorielli, 2013, Extreme wind speeds from long-term synthetic records, JWEIA, 115, 22\nVon Karman, 1948, Progress in the statistical theory of turbulence, Proc Natl Acad Sci USA, 34, 530, 10.1073\u002Fpnas.34.11.530",{"EN":112},"The Level Crossing Method applied to mean wind speeds from “mixed” climates",{"VOID":114},"10.1016\u002Fj.strusafe.2017.04.002","PUBLICATION","VERIFIED","Auto Verify",0,"https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0167473017301145",[121],{"id":122,"sortIndex":118,"researcher":18,"roles":123,"affiliations":125,"properties":134},"8bf5c64b-deb2-4eff-bbc3-7347166285e1",[124],"AUTHOR",[126],{"id":18,"sortIndex":118,"affiliation":127,"properties":18},{"id":128,"createTime":129,"updateTime":129,"relativeEntities":130,"slug":18,"properties":131,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"4d52aab3-8434-426c-8377-a360f09112ec","2024-01-10T09:29:42.747+00:00",[],{"title":132},{"VI":133},"RWDI, Tilers Road, Milton Keynes MK11 3LH, UK",{"title":135},{"VI":136},"R. Ian Harris","ARTICLE",{"url":119,"publisher":139,"properties":161},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":140,"slug":10,"properties":141,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":144,"manageAffiliations":145,"indexDatabases":146,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":142,"title":143},{"VOID":13},{"EN":15},[],[],[147,154],{"id":80,"indexDatabase":148,"url":95,"indexYears":18,"academicFieldIds":153,"indexDatabaseRanking":18},{"id":82,"createTime":83,"updateTime":84,"relativeEntities":149,"label":150,"description":151,"key":91,"publicationTags":152,"standard":18},[],{"EN":87,"VI":87},{"VI":89,"EN":90},[93,94],[97],{"id":59,"indexDatabase":155,"url":72,"indexYears":73,"academicFieldIds":160,"indexDatabaseRanking":78},{"id":61,"createTime":62,"updateTime":63,"relativeEntities":156,"label":157,"description":158,"key":69,"publicationTags":159,"standard":18},[],{"EN":66,"VI":66},{"EN":66,"VI":68},[71],[75,76,77],{"volume":162,"pages":164},{"VOID":163},"67",{"VOID":165},"54-61","2017-07-01",2017,false,{"id":170,"createTime":171,"updateTime":172,"relativeEntities":173,"slug":174,"properties":175,"entityType":115,"verifyStatus":116,"verifyTime":172,"verifyNote":117,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118,"primaryUrl":182,"fullTextUrl":18,"authors":183,"publicationType":137,"publisherRelationship":257,"citationCount":18,"citationInfo":18,"publishDate":285,"publishYear":286,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":168},"56cbfa0f-8da2-447d-ab10-3600c9b2d524","2023-12-20T01:36:09.877+00:00","2025-02-09T23:58:59.616+00:00",[],"Time-varying-identification-model-for-dam-behavior-considering-structural-reinforcement",{"references":176,"title":178,"doi":180},{"VOID":177},"Wu, 2011, Commentary of research situation and innovation frontier in hydro-structure engineering science, Sci China Tech Sci, 54, 767, 10.1007\u002Fs11431-011-4336-x\nLi, 2013, Towards an Error Correction Model for dam monitoring data analysis based on Cointegration Theory, Struct Saf, 43, 12, 10.1016\u002Fj.strusafe.2013.02.005\nSu, 2013, Optimization of reinforcement strategies for dangerous dams considering time-average system failure probability and benefit-cost ratio using a life quality index, Nat Hazards, 65, 799, 10.1007\u002Fs11069-012-0394-z\nOu, 2010, Structural health monitoring in mainland China: review and future trends, Struct Health Monit, 9, 219, 10.1177\u002F1475921710365269\nSu, 2011, Study on an intelligent inference engine in early-warning system of dam health, Water Resour Manag, 25, 1545, 10.1007\u002Fs11269-010-9760-3\nCheng, 2013, Two online dam safety monitoring models based on the process of extracting environmental effect, Adv Eng Softw, 57, 48, 10.1016\u002Fj.advengsoft.2012.11.015\nSu, 2007, Identification model for dam behavior based on wavelet network, Comput Aided Civ Infrastruct Eng, 22, 438, 10.1111\u002Fj.1467-8667.2007.00499.x\nDe Sortis, 2007, Statistical analysis and structural identification in concrete dam monitoring, Eng Struct, 29, 110, 10.1016\u002Fj.engstruct.2006.04.022\nKang, 2012, Damage detection based on improved particle swarm optimization using vibration data, Appl Soft Comput, 12, 2329, 10.1016\u002Fj.asoc.2012.03.050\nSu, 2012, A study of safety evaluation and early-warning method for dam global behavior, Struct Health Monit, 11, 269, 10.1177\u002F1475921711419993\nMata, 2011, Interpretation of concrete dam behaviour with artificial neural network and multiple linear regression models, Eng Struct, 33, 903, 10.1016\u002Fj.engstruct.2010.12.011\nGu, 2011, Singular value diagnosis in dam safety monitoring effect values, Sci China Tech Sci, 54, 1169, 10.1007\u002Fs11431-011-4339-7\nSu, 2013, Multifractal scaling behavior analysis for existing dams, Expert Syst Appl, 40, 4922, 10.1016\u002Fj.eswa.2013.02.033\nArdito, 2008, Diagnostic analysis of concrete dams based on seasonal hydrostatic loading, Eng Struct, 30, 3176, 10.1016\u002Fj.engstruct.2008.04.008\nXu, 2011, Hybrid GA\u002FSIMPLS as alternative regression model in dam deformation analysis, Eng Appl Artif Intell, 25, 468, 10.1016\u002Fj.engappai.2011.09.020\nKao, 2013, Monitoring of long-term static deformation data of Fei-Tsui arch dam using artificial neural network-based approaches, Struct Control Health Monit, 20, 282, 10.1002\u002Fstc.492\nStojanovic, 2013, Adaptive system for dam behavior modeling based on linear regression and genetic algorithms, Adv Eng Softw, 65, 182, 10.1016\u002Fj.advengsoft.2013.06.019\nLéger, 2007, Hydrostatic, temperature, time-displacement model for concrete dams, J Eng Mech ASCE, 133, 267, 10.1061\u002F(ASCE)0733-9399(2007)133:3(267)\nVapnik, 1995\nMartínez López, 2014, Training of support vector machine with the use of multivariate normalization, Appl Soft Comput, 24, 1105, 10.1016\u002Fj.asoc.2014.08.020\nWidodo, 2009, Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine, Expert Syst Appl, 36, 7252, 10.1016\u002Fj.eswa.2008.09.033\nKao, 2013, A hybrid approach by integrating wavelet-based feature extraction with MARS and SVR for stock index forecasting, Decis Support Syst, 54, 1228, 10.1016\u002Fj.dss.2012.11.012\nKuang, 2014, A novel hybrid KPCA and SVM with GA model for intrusion detection, Appl Soft Comput, 18, 178, 10.1016\u002Fj.asoc.2014.01.028\nRanković, 2014, Development of support vector regression identification model for prediction of dam structural behaviour, Struct Saf, 48, 33, 10.1016\u002Fj.strusafe.2014.02.004\nSmola, 2004, A tutorial on support vector regression, Statist Comput, 14, 199, 10.1023\u002FB:STCO.0000035301.49549.88\nKrzysztofowicz, 1985, Bayesian model of forecasted time series, Water Resour Manag, 21, 805\nYan, 2015, A novel Bayesian approach for structural model updating utilizing statistical modal information from multiple setups, Struct Saf, 52, 260, 10.1016\u002Fj.strusafe.2014.06.004\nLeung, 2005, Gradient-based variable forgetting factor RLS algorithm in time-varying environments, IEEE T Signal Process, 53, 3141, 10.1109\u002FTSP.2005.851110\nPaleologu, 2008, A robust variable forgetting factor recursive least-squares algorithm for system identification, IEEE Signal Proc Let, 15, 597, 10.1109\u002FLSP.2008.2001559\nKohli, 2013, Numeric variable forgetting factor RLS algorithm for second-order volterra filtering, Circuits Syst Signal Process, 32, 223, 10.1007\u002Fs00034-012-9445-7",{"EN":179},"Time-varying identification model for dam behavior considering structural reinforcement",{"VOID":181},"10.1016\u002Fj.strusafe.2015.07.002","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS016747301500048X",[184,200,228,245],{"id":185,"sortIndex":186,"researcher":18,"roles":187,"affiliations":188,"properties":197},"48200823-02a6-4e89-9168-b754371aedfe",2,[124],[189],{"id":18,"sortIndex":118,"affiliation":190,"properties":18},{"id":191,"createTime":192,"updateTime":192,"relativeEntities":193,"slug":18,"properties":194,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"e73f226c-643f-48da-a20f-d9427549df38","2024-01-16T20:17:56.132+00:00",[],{"title":195},{"VI":196},"National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Nanjing 210098, China",{"title":198},{"VI":199},"Xiaoran Sun",{"id":201,"sortIndex":118,"researcher":18,"roles":202,"affiliations":203,"properties":225},"89e41200-ad43-45d0-99a5-81641910fb6d",[124],[204,212],{"id":18,"sortIndex":118,"affiliation":205,"properties":18},{"id":206,"createTime":207,"updateTime":207,"relativeEntities":208,"slug":18,"properties":209,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"ced19a52-d8be-4fd5-907d-d12d5b2920d4","2024-01-08T06:19:49.712+00:00",[],{"title":210},{"VI":211},"State Key Laboratory of Hydrology–Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China",{"id":213,"sortIndex":214,"affiliation":215,"properties":224},"d5235c52-53cc-448d-8ea3-1b7113360e74",1,{"id":216,"createTime":217,"updateTime":218,"relativeEntities":219,"slug":220,"properties":221,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"93844538-8f44-4ee8-8715-2fd433533422","2024-01-17T00:29:39.637+00:00","2024-12-01T11:07:18.955+00:00",[],"College-of-Water-Conservancy-and-Hydropower-Engineering-Hohai-University-Nanjing-210098-China",{"title":222},{"VI":223},"College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, 210098, China",{},{"title":226},{"VI":227},"Huaizhi Su",{"id":229,"sortIndex":214,"researcher":18,"roles":230,"affiliations":231,"properties":242},"e2943dbe-397a-4ce2-a457-cc31bfa0d6ca",[124],[232],{"id":18,"sortIndex":118,"affiliation":233,"properties":18},{"id":234,"createTime":235,"updateTime":236,"relativeEntities":237,"slug":238,"properties":239,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"3d7fb4b1-7f22-4fc4-8cd6-d10c2f8fb35e","2023-12-29T19:00:46.268+00:00","2024-12-01T11:07:18.964+00:00",[],"Dept-of-Computer-Engineering-Nanjing-Institute-of-Technology-Nanjing-211167-China",{"title":240},{"VI":241},"Dept. of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, China",{"title":243},{"VI":244},"Zhiping Wen",{"id":246,"sortIndex":19,"researcher":18,"roles":247,"affiliations":248,"properties":254},"6c475989-0fa8-47d3-ad99-23da93773b98",[124],[249],{"id":18,"sortIndex":118,"affiliation":250,"properties":18},{"id":216,"createTime":217,"updateTime":218,"relativeEntities":251,"slug":220,"properties":252,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},[],{"title":253},{"VI":223},{"title":255},{"VI":256},"Meng Yang",{"url":182,"publisher":258,"properties":280},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":259,"slug":10,"properties":260,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":263,"manageAffiliations":264,"indexDatabases":265,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":261,"title":262},{"VOID":13},{"EN":15},[],[],[266,273],{"id":80,"indexDatabase":267,"url":95,"indexYears":18,"academicFieldIds":272,"indexDatabaseRanking":18},{"id":82,"createTime":83,"updateTime":84,"relativeEntities":268,"label":269,"description":270,"key":91,"publicationTags":271,"standard":18},[],{"EN":87,"VI":87},{"VI":89,"EN":90},[93,94],[97],{"id":59,"indexDatabase":274,"url":72,"indexYears":73,"academicFieldIds":279,"indexDatabaseRanking":78},{"id":61,"createTime":62,"updateTime":63,"relativeEntities":275,"label":276,"description":277,"key":69,"publicationTags":278,"standard":18},[],{"EN":66,"VI":66},{"EN":66,"VI":68},[71],[75,76,77],{"volume":281,"pages":283},{"VOID":282},"57",{"VOID":284},"1-7","2015-11-01",2015,{"id":288,"createTime":289,"updateTime":290,"relativeEntities":291,"slug":292,"properties":293,"entityType":115,"verifyStatus":116,"verifyTime":290,"verifyNote":117,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118,"primaryUrl":300,"fullTextUrl":18,"authors":301,"publicationType":137,"publisherRelationship":332,"citationCount":18,"citationInfo":18,"publishDate":360,"publishYear":361,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":168},"2c6c5643-14a9-40ac-b2dc-1650780053fa","2023-12-27T13:01:10.170+00:00","2025-02-22T23:58:00.824+00:00",[],"A-risk-estimation-method-of-railway-embankment-collapse-due-to-heavy-rainfall",{"references":294,"title":296,"doi":298},{"VOID":295},"Japanese National Railways, 1974, Standard for structure maintenance (in Japanese), 691\nOkuzono, 1983\nMurakami, 1990, A criterion on estimating a possibility of boulder-fall on of slope (in Japanese), 415\u002FVI, 155\nFlury, 1983\nSugiyama, 1986\nKubomura, 1971, Analysis of stability of cutting slopes by quantification theory (in Japanese), 194\nKobashi, 1974, Prediction of safety level of cutting slope failure (in Japanese), Railway Technical Research Report, No. 895\nMorino, 1985, A study on degree of risk of slope disaster and of the time of occurence of slope failure (in Japanese), Railway Technical Research Report, No. 1292\nYamada, 1970, The analysis of the landslide along JNR (in Japanese), Railway Technical Research Report, No. 719\nAboshi, 1972, Concentrated rainfall and slope failure (in Japanese), Sekou-Gijyutu, 5\nYagi, 1990, Prediction of slope failure based on amount of rainfall (in Japanese), 415, 65\nHaruyama, 1983, Shirasu slope failured due to rainfall (in Japanese), Tsuchi-to-Kiso, 31, 105\nOkuda, 1978\nNanbu, 1975, Stability analysis of bank for road by statistical methods (in Japanese), 241, 93\nSugiyama, 1991, Pore pressure change and stability of embankment under rainfall (in Japanese), Railway Tech. Res. Rep., 5, 47\nMuraishi, 1988, A method of rainfall depth estimation at slope failure point along railway (in Japanese), Railway Tech. Res. Rep., 2, 31\nOkada, 1992, A correlation of soil strength between different sounding tests on embankment surface (in Japanese), Tuchi-to-Kiso, 40, 11\nIkeda, 1990, Relation between geology and geotechnical engineering (in Japanese), J. Jpn. Soc. Engrg. Geol., 31, 31\nSugiyama, 1990, Estimation of railway embankment failure due to concentrated rainfall (in Japanese), Assoc. Civil Engrg. Jpn. Railways, 28, 52\nTanisawa, 1990, Abstruct of disaster in 1989 (JR Shikoku) (in Japanese), Assoc. Civil Engrg. Jpn. Railways, 28, 34\nOkada, 1992, Statistical estimating method of railway embankment damage due to rainfall (in Japanese), 448, 25",{"EN":297},"A risk estimation method of railway embankment collapse due to heavy rainfall",{"VOID":299},"10.1016\u002F0167-4730(94)90010-8","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002F0167473094900108",[302,317],{"id":303,"sortIndex":214,"researcher":18,"roles":304,"affiliations":305,"properties":314},"2e22a74f-68e3-48da-8c5e-f161ff79684f",[124],[306],{"id":18,"sortIndex":118,"affiliation":307,"properties":18},{"id":308,"createTime":309,"updateTime":309,"relativeEntities":310,"slug":18,"properties":311,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"3397e117-0c35-45d9-b339-68aef1e8a450","2023-12-27T13:01:10.253+00:00",[],{"title":312},{"VI":313},"Geology and Disaster Prevention Laboratory, Railway Technical Research Institute, Kokubunji-shi, Tokyo, 185 Japan",{"title":315},{"VI":316},"Tomoyasu Sugiyama",{"id":318,"sortIndex":118,"researcher":18,"roles":319,"affiliations":320,"properties":329},"8834755c-bbe0-4936-8a04-6957dbe3304f",[124],[321],{"id":18,"sortIndex":118,"affiliation":322,"properties":18},{"id":323,"createTime":324,"updateTime":324,"relativeEntities":325,"slug":18,"properties":326,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"be563dd7-6a0f-43eb-90fc-eb8d163b18c0","2023-12-27T13:01:10.215+00:00",[],{"title":327},{"VI":328},"Track & Structures Research Division, Railway Technical Research Institute, Kokubunji-shi, Tokyo, 185 Japan",{"title":330},{"VI":331},"Katsuya Okada",{"url":300,"publisher":333,"properties":355},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":334,"slug":10,"properties":335,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":338,"manageAffiliations":339,"indexDatabases":340,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":336,"title":337},{"VOID":13},{"EN":15},[],[],[341,348],{"id":80,"indexDatabase":342,"url":95,"indexYears":18,"academicFieldIds":347,"indexDatabaseRanking":18},{"id":82,"createTime":83,"updateTime":84,"relativeEntities":343,"label":344,"description":345,"key":91,"publicationTags":346,"standard":18},[],{"EN":87,"VI":87},{"VI":89,"EN":90},[93,94],[97],{"id":59,"indexDatabase":349,"url":72,"indexYears":73,"academicFieldIds":354,"indexDatabaseRanking":78},{"id":61,"createTime":62,"updateTime":63,"relativeEntities":350,"label":351,"description":352,"key":69,"publicationTags":353,"standard":18},[],{"EN":66,"VI":66},{"EN":66,"VI":68},[71],[75,76,77],{"volume":356,"pages":358},{"VOID":357},"14",{"VOID":359},"131-150","1994-04-01",1994,{"id":363,"createTime":364,"updateTime":365,"relativeEntities":366,"slug":367,"properties":368,"entityType":115,"verifyStatus":116,"verifyTime":365,"verifyNote":117,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118,"primaryUrl":375,"fullTextUrl":18,"authors":376,"publicationType":137,"publisherRelationship":409,"citationCount":18,"citationInfo":18,"publishDate":437,"publishYear":438,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":168},"64f96694-b014-46f2-b117-4ab6e53b34ee","2023-12-28T23:59:51.287+00:00","2025-02-19T23:57:42.087+00:00",[],"Reliability-based-optimal-design-of-linear-structures-subjected-to-stochastic-excitations",{"references":369,"title":371,"doi":373},{"VOID":370},"Au, 2001, First excursion probabilities for linear systems by very efficient importance sampling, Probabilist Eng Mech, 16, 193, 10.1016\u002FS0266-8920(01)00002-9\nAu, 2001, Estimation of small failure probabilities in high dimensions by subset simulation, Probabilist Eng Mech, 16, 263, 10.1016\u002FS0266-8920(01)00019-4\nAu, 2005, Reliability-based design sensitivity by efficient simulation, Comput Struct, 83, 1048, 10.1016\u002Fj.compstruc.2004.11.015\nBeck, 2002, Bayesian updating of structural models and reliability using Markov chain Monte Carlo simulation, ASCE J Eng Mech, 128, 380, 10.1061\u002F(ASCE)0733-9399(2002)128:4(380)\nChing, 2007, Approximate reliability-based optimization using a three-step approach based on subset simulation, J Eng Mech, 133, 481, 10.1061\u002F(ASCE)0733-9399(2007)133:4(481)\nChing, 2007, Transitional Markov chain Monte Carlo method for Bayesian model updating, model class selection, and model averaging, ASCE J Eng Mech, 133, 816, 10.1061\u002F(ASCE)0733-9399(2007)133:7(816)\nChing, 2007, Local estimation of failure probability function and its confidence interval with maximum entropy principle, Probabilist Eng Mech, 22, 39, 10.1016\u002Fj.probengmech.2006.05.002\nDokainish, 1989, A survey on direct time integration methods in computational structural dynamics-I. Explicit methods, Comput Struct, 32, 1371, 10.1016\u002F0045-7949(89)90314-3\nGasser, 1997, Reliability-based optimization of structural systems, Math Methods Oper Res, 46, 287, 10.1007\u002FBF01194858\nGrigoriu, 2002\nJaynes, 1968, Prior probabilities, IEEE Trans Syst Sci Cybern, 4, 227, 10.1109\u002FTSSC.1968.300117\nJensen, 2005, Design and sensitivity analysis of dynamical systems subjected to stochastic loading, Comput Struct, 83, 1062, 10.1016\u002Fj.compstruc.2004.11.016\nJensen, 2007, On the effects of non-linear elements in the reliability-based optimal design of stochastic dynamical systems, Int J Non-Linear Mech, 42, 802, 10.1016\u002Fj.ijnonlinmec.2007.03.003\nKanda, 1991, Formulation of load factors based on optimum reliability, Struct Saf, 9, 197, 10.1016\u002F0167-4730(91)90043-9\nKirkpatrick, 1983, Optimization by simulated annealing, Science, 220, 671, 10.1126\u002Fscience.220.4598.671\nKatafygiotis, 2006, Domain decomposition method for calculating the failure probability of linear dynamic systems subjected to Gaussian stochastic loads, ASCE J Eng Mech, 132, 475, 10.1061\u002F(ASCE)0733-9399(2006)132:5(475)\nKatafygiotis, 2009, Reliability analysis of wind-excited structures using domain decomposition method and line sampling, Int J Struct Eng Mech, 32, 37, 10.12989\u002Fsem.2009.32.1.037\nLind, 1976, Approximate analysis and economics of structures, J Struct Div, 102, 1177, 10.1061\u002FJSDEAG.0004359\nMetropolis, 1953, Equations of state calculations by fast computing machines, J Chem Phys, 21, 1087, 10.1063\u002F1.1699114\nOrmoneit, 1999, An efficient algorithm to compute maximum entropy densities, Economet Rev, 18, 127, 10.1080\u002F07474939908800436\nRoyset, 2004, Reliability-based optimal design using sample average approximations, Probabilist Eng Mech, 19, 331, 10.1016\u002Fj.probengmech.2004.03.001\nSchuëller, 2008, Computational methods in optimization considering uncertainties - an overview, Comput Methods Appl Mech Eng, 198, 2, 10.1016\u002Fj.cma.2008.05.004\nSubbaraj, 1989, A survey on direct time integration methods in computational structural dynamics-II. Implicit methods, Comput Struct, 32, 1387, 10.1016\u002F0045-7949(89)90315-5\nTaflanidis, 2008, Stochastic subset optimization for optimal reliability problems, Probabilist Eng Mech, 23, 324, 10.1016\u002Fj.probengmech.2007.12.011\nWang J. Reliability analysis and reliability-based optimal design of linear structures subjected to stochastic excitations (Ph.D. thesis). Hong Kong University of Science and Technology; 2010.\nYuen, 2005, An efficient simulation method for reliability analysis using simple additive rules of probability, Probabilist Eng Mech, 20, 109, 10.1016\u002Fj.probengmech.2004.07.003",{"EN":372},"Reliability-based optimal design of linear structures subjected to stochastic excitations",{"VOID":374},"10.1016\u002Fj.strusafe.2013.11.002","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0167473013000854",[377,392],{"id":378,"sortIndex":118,"researcher":18,"roles":379,"affiliations":380,"properties":389},"47a0c9a3-9cc8-436f-984a-47ec3eea858d",[124],[381],{"id":18,"sortIndex":118,"affiliation":382,"properties":18},{"id":383,"createTime":384,"updateTime":384,"relativeEntities":385,"slug":18,"properties":386,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"b212c337-d6c4-4724-ae0b-9145476b90b5","2023-12-28T23:59:51.374+00:00",[],{"title":387},{"VI":388},"College of Civil Engineering, Hunan University, Changsha City, Hunan Province, China",{"title":390},{"VI":391},"Jia Wang",{"id":393,"sortIndex":214,"researcher":18,"roles":394,"affiliations":395,"properties":406},"c03a48c5-d6ea-4a87-be7c-b61696910a24",[124],[396],{"id":18,"sortIndex":118,"affiliation":397,"properties":18},{"id":398,"createTime":399,"updateTime":400,"relativeEntities":401,"slug":402,"properties":403,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"464b6f14-4990-4f0c-af06-3e0d8a0eb66d","2023-12-17T17:18:36.633+00:00","2024-09-25T00:08:10.082+00:00",[],"Department-of-Civil-and-Environmental-Engineering-Hong-Kong-University-of-Science-and-Technology-Clear-Water-Bay-Kowloon-Hong-Kong-China",{"title":404},{"VI":405},"Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China",{"title":407},{"VI":408},"L.S. Katafygiotis",{"url":375,"publisher":410,"properties":432},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":411,"slug":10,"properties":412,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":415,"manageAffiliations":416,"indexDatabases":417,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":413,"title":414},{"VOID":13},{"EN":15},[],[],[418,425],{"id":80,"indexDatabase":419,"url":95,"indexYears":18,"academicFieldIds":424,"indexDatabaseRanking":18},{"id":82,"createTime":83,"updateTime":84,"relativeEntities":420,"label":421,"description":422,"key":91,"publicationTags":423,"standard":18},[],{"EN":87,"VI":87},{"VI":89,"EN":90},[93,94],[97],{"id":59,"indexDatabase":426,"url":72,"indexYears":73,"academicFieldIds":431,"indexDatabaseRanking":78},{"id":61,"createTime":62,"updateTime":63,"relativeEntities":427,"label":428,"description":429,"key":69,"publicationTags":430,"standard":18},[],{"EN":66,"VI":66},{"EN":66,"VI":68},[71],[75,76,77],{"volume":433,"pages":435},{"VOID":434},"47",{"VOID":436},"29-38","2014-03-01",2014,{"id":440,"createTime":441,"updateTime":442,"relativeEntities":443,"slug":444,"properties":445,"entityType":115,"verifyStatus":116,"verifyTime":442,"verifyNote":117,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118,"primaryUrl":452,"fullTextUrl":18,"authors":453,"publicationType":137,"publisherRelationship":518,"citationCount":18,"citationInfo":18,"publishDate":546,"publishYear":547,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":168},"5d6a78d3-2ba4-4007-99c8-fabb27d4fa8b","2024-02-11T14:48:04.659+00:00","2025-01-11T23:56:53.612+00:00",[],"Fragility-and-comfortability-curves-development-and-seismic-risk-assessment-of-a-masonry-building-under-earthquakes-induced-by-geothermal-power-plants-operation",{"references":446,"title":448,"doi":450},{"VOID":447},"Fridleifsson, 2008, January. The possible role and contribution of geothermal energy to the mitigation of climate change, 20, 59\nAssad, 2017, Performance of geothermal power plants (single, dual, and binary) to compensate for LHC-CERN power consumption: comparative study, Geothermal Energy, 5, 1\nBrown, M.R. and Ge, S., 2018. Distinguishing fluid flow path from pore pressure diffusion for induced seismicity. Bulletin of the Seismological Society of America, 108(6), pp.3684-3686. Burland, J.B., Broms, B.B. and De Mello, V.F., 1978. Behaviour of foundations and structures.\nEvans, 2012, A survey of the induced seismic responses to fluid injection in geothermal and CO2 reservoirs in Europe, Geothermics, 41, 30, 10.1016\u002Fj.geothermics.2011.08.002\nHalldorsson, B., Olafsson, S., Snaebjörnsson, J.T., Sigurosson, S.U., Rupakhety, R. and Sigbjörnsson, R., 2012. On the effects of induced earthquakes due to fluid injection at hellisheidi geothermal power plant, Iceland. Proc. 15th WCEE, Lissabon, Portugal.\nMegies, 2014, Microseismicity observed at a non-pressure-stimulated geothermal power plant, Geothermics, 52, 36, 10.1016\u002Fj.geothermics.2014.01.002\nKwiatek, 2015, Effects of long-term fluid injection on induced seismicity parameters and maximum magnitude in northwestern part of The Geysers geothermal field, J Geophys Res Solid Earth, 120, 7085, 10.1002\u002F2015JB012362\nBroccardo, 2020, Induced seismicity risk analysis of the hydraulic stimulation of a geothermal well on Geldinganes, Iceland, Nat Hazards Earth Syst Sci, 20, 1573, 10.5194\u002Fnhess-20-1573-2020\nZastrow, 2019, South Korea accepts geothermal plant probably caused destructive quake, Nature\nKim, 2020, The 2017 ML 5.4 Pohang earthquake sequence, Korea, recorded by a dense seismic network, Tectonophysics, 774, 10.1016\u002Fj.tecto.2019.228306\nEberhart-Phillips, 1984, Induced seismicity in The Geysers geothermal area, California, J Geophys Res Solid Earth, 89, 1191, 10.1029\u002FJB089iB02p01191\nMajer, 2007, Induced seismicity associated with enhanced geothermal systems, Geothermics, 36, 185, 10.1016\u002Fj.geothermics.2007.03.003\nCheng, 2018, Characteristics of seismicity inside and outside the Salton Sea geothermal field, Bull Seismol Soc Am, 108, 1877, 10.1785\u002F0120170311\nEdwards, 2013, Selecting ground-motion models developed for induced seismicity in geothermal areas, Geophys J Int, 195, 1314, 10.1093\u002Fgji\u002Fggt310\nSharma, 2018, Update, comparison, and interpretation of the ground-motion prediction equation for “the geysers” geothermal area in the light of new data, Bull Seismol Soc Am, 108, 3645, 10.1785\u002F0120170350\nConvertito, 2020, Using ground motion prediction equations to monitor variations in quality factor due to induced seismicity: a feasibility study, Acta Geophys, 68, 723, 10.1007\u002Fs11600-020-00441-0\nDegée, 2006, Experimental investigation on the seismic behaviour of masonry housing in low seismicity areas, 3\nRen, 2012, 205\nAras, 2018, Seismic performance of traditional stone masonry dwellings under Çanakkale seismic sequences, J Perform Constr Facil, 32, 04018029, 10.1061\u002F(ASCE)CF.1943-5509.0001173\nKorswagen, 2019, Probabilistic assessment of structural damage from coupled multi-hazards, Struct Saf, 76, 135, 10.1016\u002Fj.strusafe.2018.08.001\nAldemir, 2020, Rapid screening method for the determination of regional risk distribution of masonry structures, Struct Saf, 85, 10.1016\u002Fj.strusafe.2020.101959\nBommer, 2006, Control of hazard due to seismicity induced by a hot fractured rock geothermal project, Eng Geol, 83, 287, 10.1016\u002Fj.enggeo.2005.11.002\nTaylor, 2018, Can repetitive small magnitude-induced seismic events actually cause damage?, Adv Civil Eng, 2018, 10.1155\u002F2018\u002F2056123\nKhansefid, 2022, Seismic performance assessment of a masonry building under earthquakes induced by geothermal power plants operation, J Build Eng, 48\nKhansefid, 2022, Induced earthquake hazard by geothermal power plants: statistical evaluation and probabilistic modeling, Int J Disaster Risk Sci, 13, 758, 10.1007\u002Fs13753-022-00441-2\nNS Energy. 8 Jan 2020. Profiling the top geothermal power producing countries in the world.\nMoia, 1993, Monitoring induced seismicity around geothermal fields and reservoirs, 1\nEllsworth, 2019, Triggering of the Pohang, Korea, earthquake (M w 5.5) by enhanced geothermal system stimulation, Seismol Res Lett, 90, 1844\nPfeifer, 2001\nBritish Standards Institution, 2016. Structural timber - strength classes, BS EN 338.\nThe Aluminum Association, 1967. Aluminum Construction Manual: Specifications for Aluminum Structures.\nKhansefid, 2022, Ground motion models for the induced earthquakes by the geothermal power plants, J Earthq Eng\nCenter for Engineering Strong Motion Data, 2020. Search for Strong-Motion Data. https:\u002F\u002Fwww.strongmotioncenter.org\u002Fcgi-bin\u002FCESMD\u002Fsearch1.pl. Last Accessed Oct 2020.\nItalian Accelerometric Archive, 2020. Event Search. http:\u002F\u002Fitaca.mi.ingv.it\u002FItacaNet_31\u002F#\u002Fevent\u002Fsearch\u002F. Last Accessed Oct 2020.\nObservatories and Research Facilities for European Seismology, 2020. Strong Motion Data Portals. http:\u002F\u002Fwww.orfeus-eu.org\u002Fdata\u002Fstrong\u002F. Last Accessed Oct 2020.\nKhansefid, 2019, Development of declustered processed earthquake accelerogram database for the Iranian Plateau: including near-field record categorization, J Seismol, 23, 869, 10.1007\u002Fs10950-019-09839-w\nKhansefid, 2020, Pulse-like ground motions: Statistical characteristics, and GMPE development for the Iranian Plateau, Soil Dyn Earthq Eng, 134, 10.1016\u002Fj.soildyn.2020.106164\nCatulo, R.D.C.D., 2015. Experimental Dynamic Analysis of Masonry Buildings and Seismic Assessment of a standard building.\nEuropean Committee for Standardization, 2004. Eurocode 8: design of structures for earthquake resistance-Part 1: General rules, seismic actions and rules for buildings.\nDIANA FEA 10.4. Finite Element Analysis, Delft, The Netherlands, 2020; software available at http:\u002F\u002Fwww. dianafea.com.\nLotfi, 1991, An appraisal of smeared crack models for masonry shear wall analysis, Comput Struct, 41, 413, 10.1016\u002F0045-7949(91)90134-8\nGhiassi, 2019, Masonry mechanical properties, Numerical Modeling of Masonry and Historical Structures, 239, 10.1016\u002FB978-0-08-102439-3.00007-5\nRots, 2016, Computational Modelling of Masonry with a view to Groningen induced Seismicity\nFerreira, D. and Manie, J., 2020. DIANA Documentation Release 10.4. DIANA FEA BV, Delft, The Netherlands.\nChopra, 2011\nBritish Standards Institution, 1997. Mechanical vibration and shock - Evaluation of human exposure to whole-body vibration Part 1: General Requirements, ISO2631-1.\nBritish Standards Institution, 2003. Mechanical vibration and shock — Evaluation of human exposure to whole-body vibration Part 2: Vibration in Buildings (1 Hz to 80 Hz), ISO2631-2.\nU.S. Army Corps of Engineers, 1972. Systemic Drilling and Blasting for Surface Excavations. Engineer manual, pp.1110-2.\nAthanasopoulos, 2000, Ground vibrations from sheetpile driving in urban environment: measurements, analysis and effects on buildings and occupants, Soil Dyn Earthq Eng, 19, 371, 10.1016\u002FS0267-7261(00)00008-7\nDeutsches Institut für Normung, 1999, Structural Vibration Part 2: Human Exposure to Vibration in Buildings, DIN, 4150\nGrenier, 2010, Predicting discomfort scores reported by LHD operators using whole-body vibration exposure values and musculoskeletal pain scores, Work, 35, 49, 10.3233\u002FWOR-2010-0957\nVerein Deutscher Ingenieure, 2013\nVamvatsikos, 2002, Incremental dynamic analysis, Earthq Eng Struct Dyn, 31, 491, 10.1002\u002Feqe.141\nVamvatsikos, 2004, Applied incremental dynamic analysis, Earthquake Spectra, 20, 523, 10.1193\u002F1.1737737\nBorzi, 2008, Simplified pushover-based earthquake loss assessment (SP-BELA) method for masonry buildings, Int J Archit Heritage, 2, 353, 10.1080\u002F15583050701828178\nFrankie, 2013, Simulation-based fragility relationships for unreinforced masonry buildings, J Struct Eng, 139, 400, 10.1061\u002F(ASCE)ST.1943-541X.0000648\nSimões, 2015, Fragility curves for old masonry building types in Lisbon, Bull Earthq Eng, 13, 3083, 10.1007\u002Fs10518-015-9750-1\nGiordano, 2021, Analytical fragility curves for masonry school building portfolios in Nepal, Bull Earthq Eng, 19, 1121, 10.1007\u002Fs10518-020-00989-8\nKitayama, 2017, Probabilistic seismic assessment of seismically isolated electrical transformers considering vertical isolation and vertical ground motion, Eng Struct, 152, 888, 10.1016\u002Fj.engstruct.2017.10.009\nHarrington, 2016, Collapse assessment of moment frame buildings, considering vertical ground shaking, Earthq Eng Struct Dyn, 45, 2475, 10.1002\u002Feqe.2776\nCornell, 2002, Probabilistic basis for 2000 SAC federal emergency management agency steel moment frame guidelines, J Struct Eng, 128, 526, 10.1061\u002F(ASCE)0733-9445(2002)128:4(526)\nHazus, 2009\nFederal Emergency Management Agency, 2018. Seismic Performance Assessment of Buildings Volume 1 – Methodology Second Edition, FEMA P-58-1. Washington D.C., USA: Applied Technology Council.\nTrevlopoulos, 2019, Parametric models averaging for optimized non-parametric fragility curve estimation based on intensity measure data clustering, Struct Saf, 81, 10.1016\u002Fj.strusafe.2019.05.002\nCornell, 2000, Progress and challenges in seismic performance assessment, PEER Center News, 3\nPorter, 2003, July. An overview of PEER’s performance-based earthquake engineering methodology, 1\nBromley, 1987, Microearthquakes at the puhagan geothermal field, Philippines—A case of induced seismicity, J Volcanol Geoth Res, 31, 293, 10.1016\u002F0377-0273(87)90073-4\nCharléty, 2007, Large earthquakes during hydraulic stimulations at the geothermal site of Soultz-sous-Forêts, Int J Rock Mech Min Sci, 44, 1091, 10.1016\u002Fj.ijrmms.2007.06.003\nMarsaglia, 2000, The ziggurat method for generating random variables, J Stat Softw, 5, 1\nKrishnamoorthy, 2013, September. Matrix inversion using Cholesky decomposition, 70\nDouglas, 2013, Predicting ground motion from induced earthquakes in geothermal areas, Bull Seismol Soc Am, 103, 1875, 10.1785\u002F0120120197\nSharma, 2013, Ground-motion prediction equations for the Geysers geothermal area based on induced seismicity records, Bull Seismol Soc Am, 103, 117, 10.1785\u002F0120120138\nGrünthal, 1998\nPei, 2009, Methodology for earthquake-induced loss estimation: An application to woodframe buildings, Struct Saf, 31, 31, 10.1016\u002Fj.strusafe.2007.12.002\nDolce, 2021, Seismic risk assessment of residential buildings in Italy, Bull Earthq Eng, 19, 2999, 10.1007\u002Fs10518-020-01009-5\nOttonelli, 2020, Displacement-based simplified seismic loss assessment of masonry buildings, J Earthq Eng, 24, 23, 10.1080\u002F13632469.2020.1755747\nDa Porto, 2021, Comparative analysis of the fragility curves for Italian residential masonry and RC buildings, Bull Earthq Eng, 1\nStatistisches Bundesamt (Destatis), 2020. Daten zur Bauen und Wohnen– Lange Reihen z. T. ab 1962, Statistisches Bundesamt: Germany.\nNavrud, 2002, The state-of-the-art on economic valuation of noise, Final Report to European Commission DG Environ, 14\nDuarte, 2009, Does noise have a stationary impact on residential values?, J Eur Real Estate Res\nBrandt, 2011, Road noise exposure and residential property prices: Evidence from Hamburg, Transp Res Part D: Transp Environ, 16, 23, 10.1016\u002Fj.trd.2010.07.008\nMackay, D.J.C., 1998. Introduction to monte carlo methods. In Learning in graphical models (pp. 175-204). Springer, Dordrecht.\nRobert, 2004, Vol. 2\nHahn, G. J., 1972. Sample Sizes for Monte Carlo Simulation. IEEE Transactions on Systems, Man, and Cybernetics. SMC-2:678-680.\nPorter, K., 2021. A Beginner’s Guide to Fragility, Vulnerability, and Risk. University of Colorado Boulder, 139 pp.",{"EN":449},"Fragility and comfortability curves development and seismic risk assessment of a masonry building under earthquakes induced by geothermal power plants operation",{"VOID":451},"10.1016\u002Fj.strusafe.2023.102343","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0167473023000309",[454,479,491,506],{"id":455,"sortIndex":118,"researcher":18,"roles":456,"affiliations":457,"properties":476},"ee250f19-8b15-4ff8-b476-c20a4b15ab6c",[124],[458,468],{"id":459,"sortIndex":214,"affiliation":460,"properties":467},"3ed05792-060b-43ff-9e70-5b5a9584331c",{"id":461,"createTime":462,"updateTime":462,"relativeEntities":463,"slug":18,"properties":464,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"adba0671-835b-42ba-8247-e8a77b7e3fe1","2024-02-11T14:48:04.747+00:00",[],{"title":465},{"VI":466},"Civil Engineering Department, Technical University of Munich, Munich, Germany",{},{"id":18,"sortIndex":118,"affiliation":469,"properties":18},{"id":470,"createTime":471,"updateTime":471,"relativeEntities":472,"slug":18,"properties":473,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"d3a22ccc-7fbb-45e2-a6fc-54c2f6a8e476","2024-01-04T07:31:26.041+00:00",[],{"title":474},{"VI":475},"Civil Engineering Department, K.N.Toosi University of Technology, Tehran, Iran",{"title":477},{"VI":478},"Ali Khansefid",{"id":480,"sortIndex":19,"researcher":18,"roles":481,"affiliations":482,"properties":488},"28ab5bc8-2271-40d9-8e04-adac9bc872cc",[124],[483],{"id":18,"sortIndex":118,"affiliation":484,"properties":18},{"id":461,"createTime":462,"updateTime":462,"relativeEntities":485,"slug":18,"properties":486,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},[],{"title":487},{"VI":466},{"title":489},{"VI":490},"Gerhard Müller",{"id":492,"sortIndex":214,"researcher":18,"roles":493,"affiliations":494,"properties":503},"fa0f514e-6e9f-480d-9bd8-bab36d77da5e",[124],[495],{"id":18,"sortIndex":118,"affiliation":496,"properties":18},{"id":497,"createTime":498,"updateTime":498,"relativeEntities":499,"slug":18,"properties":500,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"d80ccdb3-08f7-476a-8317-695091ab6d74","2024-02-11T14:48:04.720+00:00",[],{"title":501},{"VI":502},"Civil Engineering Department, Clemson University, Clemson, USA",{"title":504},{"VI":505},"Seyed Mahmoudreza Yadollahi",{"id":507,"sortIndex":186,"researcher":18,"roles":508,"affiliations":509,"properties":515},"392a4fd0-d282-49b6-a367-0782799ce5bc",[124],[510],{"id":18,"sortIndex":118,"affiliation":511,"properties":18},{"id":461,"createTime":462,"updateTime":462,"relativeEntities":512,"slug":18,"properties":513,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},[],{"title":514},{"VI":466},{"title":516},{"VI":517},"Francesca Taddei",{"url":452,"publisher":519,"properties":541},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":520,"slug":10,"properties":521,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":524,"manageAffiliations":525,"indexDatabases":526,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":522,"title":523},{"VOID":13},{"EN":15},[],[],[527,534],{"id":80,"indexDatabase":528,"url":95,"indexYears":18,"academicFieldIds":533,"indexDatabaseRanking":18},{"id":82,"createTime":83,"updateTime":84,"relativeEntities":529,"label":530,"description":531,"key":91,"publicationTags":532,"standard":18},[],{"EN":87,"VI":87},{"VI":89,"EN":90},[93,94],[97],{"id":59,"indexDatabase":535,"url":72,"indexYears":73,"academicFieldIds":540,"indexDatabaseRanking":78},{"id":61,"createTime":62,"updateTime":63,"relativeEntities":536,"label":537,"description":538,"key":69,"publicationTags":539,"standard":18},[],{"EN":66,"VI":66},{"EN":66,"VI":68},[71],[75,76,77],{"volume":542,"pages":544},{"VOID":543},"103",{"VOID":545},"102343","2023-07-01",2023,{"id":549,"createTime":550,"updateTime":551,"relativeEntities":552,"slug":553,"properties":554,"entityType":115,"verifyStatus":116,"verifyTime":551,"verifyNote":117,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118,"primaryUrl":561,"fullTextUrl":18,"authors":562,"publicationType":137,"publisherRelationship":620,"citationCount":18,"citationInfo":18,"publishDate":648,"publishYear":649,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":168},"1fe93048-48cb-4ccd-8ef7-5ee3c0d13fc9","2024-01-22T02:14:55.814+00:00","2024-12-24T23:55:23.846+00:00",[],"Efficient-methodology-for-seismic-fragility-curves-estimation-by-active-learning-on-Support-Vector-Machines",{"references":555,"title":557,"doi":559},{"VOID":556},"Kennedy, 1980, Probabilistic seismic safety study of an existing nuclear power plant, Nucl Eng Des, 59, 315, 10.1016\u002F0029-5493(80)90203-4\nGhobarah, 2001, Performance-based design in earthquake engineering: state of development, Eng Struct, 23, 878, 10.1016\u002FS0141-0296(01)00036-0\nNoh, 2014, Development of empirical and analytical fragility functions using kernel smoothing methods, Earthquake Eng Struct Dyn, 44, 1163, 10.1002\u002Feqe.2505\nZhang, 2009, Evaluating effectiveness and optimum design of isolation devices for highway bridges using the fragility function method, Eng Struct, 31, 1648, 10.1016\u002Fj.engstruct.2009.02.017\nSaha, 2016, Uncertainty quantification and seismic fragility of base-isolated liquid storage tanks using response surface models, Probab Eng Mech, 43, 20, 10.1016\u002Fj.probengmech.2015.10.008\nPatil, 2016, Structural performance of a parked wind turbine tower subjected to strong ground motions, Eng Struct, 120, 92, 10.1016\u002Fj.engstruct.2016.04.020\nGidaris, 2015, Kriging metamodeling in seismic risk assessment based on stochastic ground motion models, Earthquake Eng Struct Dyn, 44, 2377, 10.1002\u002Feqe.2586\nKameshwar, 2018, Storm surge fragility assessment of above ground storage tanks, Struct Saf, 70, 48, 10.1016\u002Fj.strusafe.2017.10.002\nWang, 2020, Influence of input motion’s control point location in nonlinear SSI analysis of equipment seismic fragilities: case study on the Kashiwazaki-Kariwa NPP, Pure Appl Geophys, 10.1007\u002Fs00024-020-02467-3\nSez, 2011, Effect of the inelastic dynamic soil-structure interaction on the seismic vulnerability assessment, Struct Saf, 33, 51, 10.1016\u002Fj.strusafe.2010.05.004\nMathey, 2018, Experimental and numerical analyses of variability in the responses of imperfect slender free rigid blocks under random dynamic excitations, Eng Struct, 172, 891, 10.1016\u002Fj.engstruct.2018.06.064\nQuilligan, 2012, Fragility analysis of steel and concrete wind turbine towers, Eng Struct, 36, 270, 10.1016\u002Fj.engstruct.2011.12.013\nEllingwood, 2009, Quantifying and communicating uncertainty in seismic risk assessment, Struct Saf, 31, 179, 10.1016\u002Fj.strusafe.2008.06.001\nDer Kiureghian, 2009, Aleatory or epistemic? does it matter?, Struct Saf, 31, 105, 10.1016\u002Fj.strusafe.2008.06.020\nMasanobu Shinozuka, 2000, Statistical analysis of fragility curves, J Eng Mech, 126, 1224, 10.1061\u002F(ASCE)0733-9399(2000)126:12(1224)\nBaker, 2015, Efficient analytical fragility function fitting using dynamic structural analysis, Earthquake Spectra, 31, 579, 10.1193\u002F021113EQS025M\nSilva, 2016, Exploring risk-targeted hazard maps for Europe, Earthquake Spectra, 32, 1165, 10.1193\u002F112514eqs198m\nMandal, 2016, Seismic fragility analysis of a typical indian PHWR containment: comparison of fragility models, Struct Saf, 58, 11, 10.1016\u002Fj.strusafe.2015.08.003\nHariri-Ardebili, 2016, Probabilistic seismic demand model and optimal intensity measure for concrete dams, Struct Saf, 59, 67, 10.1016\u002Fj.strusafe.2015.12.001\nZentner, 2010, Numerical computation of fragility curves for NPP equipment, Nucl Eng Des, 240, 1614, 10.1016\u002Fj.nucengdes.2010.02.030\nMai, 2017, Seismic fragility curves for structures using non-parametric representations, Front Struct Civil Eng, 11, 169, 10.1007\u002Fs11709-017-0385-y\nZentner, 2017, A general framework for the estimation of analytical fragility functions based on multivariate probability distributions, Struct Saf, 64, 54, 10.1016\u002Fj.strusafe.2016.09.003\nTrevlopoulos, 2019, Parametric models averaging for optimized non-parametric fragility curve estimation based on intensity measure data clustering, Struct Saf, 81, 10.1016\u002Fj.strusafe.2019.05.002\nPark, 2014, Rapid seismic damage assessment of railway bridges using the response-surface statistical model, Struct Saf, 47, 1, 10.1016\u002Fj.strusafe.2013.10.001\nSeo, 2013, Use of response surface metamodels to generate system level fragilities for existing curved steel bridges, Eng Struct, 52, 642, 10.1016\u002Fj.engstruct.2013.03.023\nWang, 2018, Seismic fragility analysis with artificial neural networks: application to nuclear power plant equipment, Eng Struct, 162, 213, 10.1016\u002Fj.engstruct.2018.02.024\nLuco, 2007, Structure-specific scalar intensity measures for near-source and ordinary earthquake ground motions, Earthquake Spectra, 23, 357, 10.1193\u002F1.2723158\nMackie, 2001, Probabilistic seismic demand model for california highway bridges, J Bridge Eng, 6, 468, 10.1061\u002F(ASCE)1084-0702(2001)6:6(468)\nPaolo Giovenale, 2004, Comparing the adequacy of alternative ground motion intensity measures for the estimation of structural responses, Earthquake Eng Struct Dyn, 33, 951, 10.1002\u002Feqe.386\nBaker, 2008, Vector-valued intensity measures incorporating spectral shape for prediction of structural response, J Earthquake Eng, 12, 534, 10.1080\u002F13632460701673076\nPadgett, 2008, Selection of optimal intensity measures in probabilistic seismic demand models of highway bridge portfolios, Earthquake Eng Struct Dyn, 37, 711, 10.1002\u002Feqe.782\nHasenjäger, 2002, Active learning in neural networks, 137\nSeung, 1992, ’92, 287\nGazut, 2008, Towards the optimal design of numerical experiments, Trans Neur Netw, 19, 874, 10.1109\u002FTNN.2007.915111\nTong, 2002, Support vector machine active learning with applications to text classification, J Mach Learn Res, 2, 45\nRezaeian, 2008, A stochastic ground motion model with separable temporal and spectral nonstationarities, Earthquake Eng Struct Dyn, 37, 1565, 10.1002\u002Feqe.831\nSabetta, 1996, Estimation of response spectra and simulation of nonstationary earthquake ground motions, Bull Seismol Soc Am, 86, 337, 10.1785\u002FBSSA0860020337\nLevy, 1976, Generation of artificial time-histories, rich in all frequencies, from given response spectra, Nucl Eng Des, 38, 241, 10.1016\u002F0029-5493(76)90099-6\nPousse, 2006, Nonstationary stochastic simulation of strong ground motion time histories including natural variability: application to the k-net japanese database, Bull Seismol Soc Am, 96, 2103, 10.1785\u002F0120050134\nZentner, 2012, Enrichment of seismic ground motion databases using karhunen-loève expansion, Earthquake Eng Struct Dyn, 41, 1945, 10.1002\u002Feqe.2166\nRezaeian, 2010, Simulation of synthetic ground motions for specified earthquake and site characteristics, Earthquake Eng Struct Dyn, 39, 1155\nSimon Kwong, 2016, Evaluation of the exact conditional spectrum and generalized conditional intensity measure methods for ground motion selection, Earthquake Eng Struct Dyn, 45, 757, 10.1002\u002Feqe.2683\nBachmann, 2018, Is rocking motion predictable?, Earthquake Eng Struct Dyn, 47, 535, 10.1002\u002Feqe.2978\nTsioulou, 2018, Modification of stochastic ground motion models for matching target intensity measures, Earthquake Eng Struct Dyn, 47, 3, 10.1002\u002Feqe.2933\nVassiliou, 2017, The three-dimensional behavior of inverted pendulum cylindrical structures during earthquakes, Earthquake Eng Struct Dyn, 46, 2261, 10.1002\u002Feqe.2903\nSanaz, 2010\nAmbraseys NN, Smit P, Berardi R, Rinaldis D, Cotton F, Berge C. Dissemination of european strongmotion data, 2000. CD-ROM collection. European Commission, Directorate-General XII, Environmental and Climate Programme, ENV4-CT97-0397, Brussels, Belgium.\nKristan, 2011, Multivariate online kernel density estimation with gaussian kernels, Pattern Recogn, 44, 2630, 10.1016\u002Fj.patcog.2011.03.019\nKremer, 2014, Active learning with support vector machines, Wiley Int Rev Data Min Knowl Disc, 4, 313, 10.1002\u002Fwidm.1132",{"EN":558},"Efficient methodology for seismic fragility curves estimation by active learning on Support Vector Machines",{"VOID":560},"10.1016\u002Fj.strusafe.2020.101972","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0167473020300515",[563,578,593,608],{"id":564,"sortIndex":214,"researcher":18,"roles":565,"affiliations":566,"properties":575},"a9ce514f-573c-435b-9693-ee6ee49d8f9a",[124],[567],{"id":18,"sortIndex":118,"affiliation":568,"properties":18},{"id":569,"createTime":570,"updateTime":570,"relativeEntities":571,"slug":18,"properties":572,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"c855b74e-6ce6-4a46-8ad1-fb1b91b1d6db","2024-01-22T02:14:55.972+00:00",[],{"title":573},{"VI":574},"DES\u002FISAS-Service d’études mécaniques et thermiques (SEMT), CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France",{"title":576},{"VI":577},"Cyril Feau",{"id":579,"sortIndex":186,"researcher":18,"roles":580,"affiliations":581,"properties":590},"e683b3fc-c9f5-4942-a309-58b1e3fcc519",[124],[582],{"id":18,"sortIndex":118,"affiliation":583,"properties":18},{"id":584,"createTime":585,"updateTime":585,"relativeEntities":586,"slug":18,"properties":587,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"56401e0a-c300-4d8a-a00c-2e1e6b05ea90","2024-01-22T02:14:55.981+00:00",[],{"title":588},{"VI":589},"DES\u002FISAS-Service de thermo-hydraulique et de mécanique des fluides (STMF), CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France",{"title":591},{"VI":592},"Jean-Marc Martinez",{"id":594,"sortIndex":19,"researcher":18,"roles":595,"affiliations":596,"properties":605},"c8c729ef-23d1-4233-b2ea-1a74fc0f4f73",[124],[597],{"id":18,"sortIndex":118,"affiliation":598,"properties":18},{"id":599,"createTime":600,"updateTime":600,"relativeEntities":601,"slug":18,"properties":602,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"d8c857a6-1bb9-45f6-978a-2df97855ce63","2024-01-22T02:14:55.990+00:00",[],{"title":603},{"VI":604},"CMAP, Ecole Polytechnique, 91128 Palaiseau Cedex, France",{"title":606},{"VI":607},"Josselin Garnier",{"id":609,"sortIndex":118,"researcher":18,"roles":610,"affiliations":611,"properties":617},"761fe4b0-77f2-4048-916f-f5ead52541a1",[124],[612],{"id":18,"sortIndex":118,"affiliation":613,"properties":18},{"id":569,"createTime":570,"updateTime":570,"relativeEntities":614,"slug":18,"properties":615,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},[],{"title":616},{"VI":574},{"title":618},{"VI":619},"Rémi Sainct",{"url":561,"publisher":621,"properties":643},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":622,"slug":10,"properties":623,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":626,"manageAffiliations":627,"indexDatabases":628,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":624,"title":625},{"VOID":13},{"EN":15},[],[],[629,636],{"id":80,"indexDatabase":630,"url":95,"indexYears":18,"academicFieldIds":635,"indexDatabaseRanking":18},{"id":82,"createTime":83,"updateTime":84,"relativeEntities":631,"label":632,"description":633,"key":91,"publicationTags":634,"standard":18},[],{"EN":87,"VI":87},{"VI":89,"EN":90},[93,94],[97],{"id":59,"indexDatabase":637,"url":72,"indexYears":73,"academicFieldIds":642,"indexDatabaseRanking":78},{"id":61,"createTime":62,"updateTime":63,"relativeEntities":638,"label":639,"description":640,"key":69,"publicationTags":641,"standard":18},[],{"EN":66,"VI":66},{"EN":66,"VI":68},[71],[75,76,77],{"volume":644,"pages":646},{"VOID":645},"86",{"VOID":647},"101972","2020-09-01",2020,{"id":651,"createTime":652,"updateTime":653,"relativeEntities":654,"slug":655,"properties":656,"entityType":115,"verifyStatus":116,"verifyTime":653,"verifyNote":117,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":214,"primaryUrl":663,"fullTextUrl":18,"authors":664,"publicationType":137,"publisherRelationship":692,"citationCount":18,"citationInfo":18,"publishDate":720,"publishYear":721,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":168},"ecb733b2-3106-45d1-acc4-cef566fce4ac","2024-01-21T08:18:58.085+00:00","2025-02-12T23:55:07.634+00:00",[],"Benchmark-study-on-reliability-estimation-in-higher-dimensions-of-structural-systems-An-overview",{"references":657,"title":659,"doi":661},{"VOID":658},"Au, 2001, Estimation of small failure probabilities in high dimensions by subset simulation, Probab Eng Mech, 16, 263, 10.1016\u002FS0266-8920(01)00019-4\nAu, 2001, First excursion probabilities for linear systems by very efficient importance sampling, Probab Eng Mech, 16, 193, 10.1016\u002FS0266-8920(01)00002-9\nAu, 2007, Application of subset simulation methods to reliability benchmark problems, Struct Saf, 29, 183, 10.1016\u002Fj.strusafe.2006.07.008\nChing, 2005, Reliability estimation for dynamical systems subjected to stochastic excitation using subset simulation with splitting, Comput Meth Appl Mech Eng, 12, 1557, 10.1016\u002Fj.cma.2004.05.028\nChing, 2005, Hybrid subset simulation method for reliability estimation of dynamical systems subjected to stochastic excitation, Probab Eng Mech, 20, 199, 10.1016\u002Fj.probengmech.2004.09.001\nGhanem, 2007, Efficient solution of stochastic systems: Application to the embankment dam problem, Struct Saf, 29, 238, 10.1016\u002Fj.strusafe.2006.07.015\nJensen, 2007, Reliability analysis of linear dynamical systems using approximate representations of performance functions, Struct Saf, 29, 222, 10.1016\u002Fj.strusafe.2006.07.004\nKatafygiotis, 2007, Application of spherical subset simulation method and auxiliary domain method on a benchmark reliability study, Struct Saf, 29, 194, 10.1016\u002Fj.strusafe.2006.07.003\nKatafygiotis, 2006, Spherical subset simulation (S3) for solving nonlinear dynamical reliability problems, Int J Reliab Safety\nKatafygiotis LS, Moan T, Cheung SH. Auxiliary domain method for solving multi-objective dynamic reliability problems for nonlinear structures. J Struct Eng Eng Mech [in press].\nKoutsourelakis, 2004, Reliability of structures in high dimensions, part I: algorithms and applications, Probab Eng Mech, 19, 409, 10.1016\u002Fj.probengmech.2004.05.001\nPradlwarter HJ, Schuëller GI, Koutsourelakis PS, Charmpis DC. Application of line sampling and subset simulation using importance sampling. Struct Saf [in press].\nSchuëller, 2005, Application of line sampling simulation method to reliability benchmark problems\nSchuëller, 2004, A critical appraisal of reliability estimation procedures for high dimensions, Probab Eng Mech, 19, 463, 10.1016\u002Fj.probengmech.2004.05.004\nSchuëller GI, Pradlwarter HJ, Koutsourelakis PS. Benchmark study on reliability estimation in higher dimensions of structural systems. Institute of Engineering Mechanics, Leopold-Franzens University, Innsbruck, Austria; 2004. Available from: http:\u002F\u002Fwww.uibk.ac.at\u002Fmechanik\u002FPublications\u002Fbenchmark.html.\nSchuëller, 1998, Benchmark-study on non-linear stochastic structural dynamics, 355",{"EN":660},"Benchmark study on reliability estimation in higher dimensions of structural systems – An overview",{"VOID":662},"10.1016\u002Fj.strusafe.2006.07.010","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0167473006000373",[665,680],{"id":666,"sortIndex":118,"researcher":18,"roles":667,"affiliations":668,"properties":677},"ba292160-7c69-4410-9011-3bb5e31ed525",[124],[669],{"id":18,"sortIndex":118,"affiliation":670,"properties":18},{"id":671,"createTime":672,"updateTime":672,"relativeEntities":673,"slug":18,"properties":674,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"231f4735-7648-4374-8e8b-3e231f35d58a","2024-01-21T08:18:58.141+00:00",[],{"title":675},{"VI":676},"Institute of Engineering Mechanics, Leopold-Franzens University, Innsbruck, Austria",{"title":678},{"VI":679},"G.I. Schuëller",{"id":681,"sortIndex":214,"researcher":18,"roles":682,"affiliations":683,"properties":689},"1aadc6d0-e444-4643-b822-408bf14c2cec",[124],[684],{"id":18,"sortIndex":118,"affiliation":685,"properties":18},{"id":671,"createTime":672,"updateTime":672,"relativeEntities":686,"slug":18,"properties":687,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},[],{"title":688},{"VI":676},{"title":690},{"VI":691},"H.J. Pradlwarter",{"url":663,"publisher":693,"properties":715},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":694,"slug":10,"properties":695,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":698,"manageAffiliations":699,"indexDatabases":700,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":696,"title":697},{"VOID":13},{"EN":15},[],[],[701,708],{"id":80,"indexDatabase":702,"url":95,"indexYears":18,"academicFieldIds":707,"indexDatabaseRanking":18},{"id":82,"createTime":83,"updateTime":84,"relativeEntities":703,"label":704,"description":705,"key":91,"publicationTags":706,"standard":18},[],{"EN":87,"VI":87},{"VI":89,"EN":90},[93,94],[97],{"id":59,"indexDatabase":709,"url":72,"indexYears":73,"academicFieldIds":714,"indexDatabaseRanking":78},{"id":61,"createTime":62,"updateTime":63,"relativeEntities":710,"label":711,"description":712,"key":69,"publicationTags":713,"standard":18},[],{"EN":66,"VI":66},{"EN":66,"VI":68},[71],[75,76,77],{"volume":716,"pages":718},{"VOID":717},"29",{"VOID":719},"167-182","2007-07-01",2007,{"id":723,"createTime":724,"updateTime":725,"relativeEntities":726,"slug":727,"properties":728,"entityType":115,"verifyStatus":116,"verifyTime":725,"verifyNote":117,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118,"primaryUrl":735,"fullTextUrl":18,"authors":736,"publicationType":137,"publisherRelationship":764,"citationCount":18,"citationInfo":18,"publishDate":792,"publishYear":361,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":168},"f134dc10-90ff-4d21-9fc2-e6c69b7304ac","2024-01-01T11:38:14.372+00:00","2025-01-21T23:50:58.075+00:00",[],"Structural-reliability-techniques-applied-to-plume-impingement-loading-of-the-Space-Station-Freedom-photovoltaic-array",{"references":729,"title":731,"doi":733},{"VOID":730},"Melchers, 1987\nWirsching, 1987, An overview of reliability methods in mechanical and structural design, 260\nNewell, 1989, Probabilistic structural analysis of space propulsion system turbine blades, 1860\nMillwater, 1989, Structural reliability analysis using a probabilistic finite element program, 1846\nChamis, 1986, Probabilistic structural analysis methods for space propulsion system component, NASA TM-88861\nHasofer, 1974, Exact and invariant second-moment code format, J. Engrg. Mech. Div., ASCE, 100, 111, 10.1061\u002FJMCEA3.0001848\nRackwitz, 1978, Structural reliability under combined random load sequences, Comput. Struct., 9, 489, 10.1016\u002F0045-7949(78)90046-9\nMoses, 1982, System reliability developments in structural engineering, Struct. Safety, 1, 3, 10.1016\u002F0167-4730(82)90011-X\nLazaron, 1985, Results of the SPAS-01 RCS plume impingement test, AIAA Paper 85-0407\nRayos, 1988\nCarney, 1989, Free-vibration characteristics and correlation of a space station split-blanket solar array, NASA TM-101452\nTimoshenko, 1961\nMiller, 1977\nPeery, 1982\nFu, 1990, Advanced simulation methods in system reliability, 232",{"EN":732},"Structural reliability techniques applied to plume impingement loading of the Space Station Freedom photovoltaic array",{"VOID":734},"10.1016\u002F0167-4730(94)90054-x","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002F016747309490054X",[737,752],{"id":738,"sortIndex":214,"researcher":18,"roles":739,"affiliations":740,"properties":749},"eb40cb70-9280-4ee8-8bda-91a5d396e6ee",[124],[741],{"id":18,"sortIndex":118,"affiliation":742,"properties":18},{"id":743,"createTime":744,"updateTime":744,"relativeEntities":745,"slug":18,"properties":746,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"2feb30f2-ec41-4b81-900d-83ce901b9487","2024-01-15T11:29:21.610+00:00",[],{"title":747},{"VI":748},"National Aeronautics and Space Administration, Lewis Research Center, Cleveland, OH 44135 USA",{"title":750},{"VI":751},"Kelly S. Carney",{"id":753,"sortIndex":118,"researcher":18,"roles":754,"affiliations":755,"properties":761},"1b7b965c-13ae-4e7e-82b3-78fe1fe0bcfd",[124],[756],{"id":18,"sortIndex":118,"affiliation":757,"properties":18},{"id":743,"createTime":744,"updateTime":744,"relativeEntities":758,"slug":18,"properties":759,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},[],{"title":760},{"VI":748},{"title":762},{"VI":763},"Isam S. Yunis",{"url":735,"publisher":765,"properties":787},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":766,"slug":10,"properties":767,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":770,"manageAffiliations":771,"indexDatabases":772,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":768,"title":769},{"VOID":13},{"EN":15},[],[],[773,780],{"id":80,"indexDatabase":774,"url":95,"indexYears":18,"academicFieldIds":779,"indexDatabaseRanking":18},{"id":82,"createTime":83,"updateTime":84,"relativeEntities":775,"label":776,"description":777,"key":91,"publicationTags":778,"standard":18},[],{"EN":87,"VI":87},{"VI":89,"EN":90},[93,94],[97],{"id":59,"indexDatabase":781,"url":72,"indexYears":73,"academicFieldIds":786,"indexDatabaseRanking":78},{"id":61,"createTime":62,"updateTime":63,"relativeEntities":782,"label":783,"description":784,"key":69,"publicationTags":785,"standard":18},[],{"EN":66,"VI":66},{"EN":66,"VI":68},[71],[75,76,77],{"volume":788,"pages":790},{"VOID":789},"15",{"VOID":791},"85-110","1994-08-01",{"id":794,"createTime":795,"updateTime":796,"relativeEntities":797,"slug":798,"properties":799,"entityType":115,"verifyStatus":116,"verifyTime":796,"verifyNote":117,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118,"primaryUrl":806,"fullTextUrl":18,"authors":807,"publicationType":137,"publisherRelationship":822,"citationCount":18,"citationInfo":18,"publishDate":850,"publishYear":851,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":168},"d143a5de-c7e1-4982-b414-f2afdc23ffcf","2024-01-30T05:28:57.357+00:00","2025-02-24T23:47:59.209+00:00",[],"A-critical-appraisal-of-methods-to-determine-failure-probabilities",{"references":800,"title":802,"doi":804},{"VOID":801},"Freudenthal, 1956, Safety and the probability of structural failure, Trans. ASCE, 121, 1337\nShinozuka, 1983, Basic analysis of structural safety, J. Struct. Div. ASCE, 109, 721, 10.1061\u002F(ASCE)0733-9445(1983)109:3(721)\nDolinski, 1983, First-order second-moment approximation in reliability of structural systems: Critical review and alternative approach, Structural Safety, 1, 211, 10.1016\u002F0167-4730(82)90027-3\nGrimmelt, 1982, Benchmark study of methods to determine collapse failure probabilities of redundant structures, Structural Safety, 1, 93, 10.1016\u002F0167-4730(82)90018-2\nStroud, 1971\nGenz, 1980, Remarks on algorithm 006: an adaptive algorithm for numerical integration over n-dimensional rectangular region, J. Comput. Appl. Math., 6, 295, 10.1016\u002F0771-050X(80)90039-X\nStix, 1982, Problemstellung bei der Berechnung der Versagenswahrscheinlichkeit\nRosenblatt, 1952, Remarks on a multivariate transformation, Ann. Math. Stat., 23, 420, 10.1214\u002Faoms\u002F1177729394\nKitakawa, 1980, Safety index by first-order second-moment reliability method\nSchittkowski, 1983, Theory, implementation and test of a nonlinear programming algorithm, 122\nBourgund, 1985\nHock, 1983, A comparative performance evaluation of 27 nonlinear programming codes, Computing, 30, 335, 10.1007\u002FBF02242139\nDitlevsen, 1979, Narrow reliability bounds for structural systems, J. Struct. Mech., 7, 453, 10.1080\u002F03601217908905329\nKounias, 1968, Bounds for the probability of a union with applications, Ann. Math. Stat., 39, 2154, 10.1214\u002Faoms\u002F1177698049\nHunter, 1976, An upper bound for the probability of a union, J. Appl. Probability, 3, 597, 10.2307\u002F3212481\nBreitung, 1982, An asymptotic formula for the failure probability, 19\nMadsen, 1985, First order vs. second order reliability analysis of series structures, Structural Safety, 2, 207, 10.1016\u002F0167-4730(85)90027-X\nGrigoriu, 1982, Methods for approximate reliability analysis, Structural Safety, 1, 155, 10.1016\u002F0167-4730(82)90022-4\nRubinstein, 1981\nSobol, 1974\nKahn, 1956, Use of different Monte Carlo sampling techniques, 146\nBourgund, 1986, Advanced simulation methods for the estimation of systems reliability\nBourgund, 1986, Importance sampling procedures using design points (ISPUD)—a user's manual",{"EN":803},"A critical appraisal of methods to determine failure probabilities",{"VOID":805},"10.1016\u002F0167-4730(87)90004-x","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002F016747308790004X",[808],{"id":809,"sortIndex":118,"researcher":18,"roles":810,"affiliations":811,"properties":820},"26abc5c2-eb87-4856-b11e-006906f6b857",[124],[812],{"id":18,"sortIndex":118,"affiliation":813,"properties":18},{"id":814,"createTime":815,"updateTime":815,"relativeEntities":816,"slug":18,"properties":817,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"c5fa1038-890a-43a0-b530-31fa6a8fdd30","2024-01-29T11:59:18.705+00:00",[],{"title":818},{"VI":819},"Institute of Engineering Mechanics, University of Innsbruck, Austria",{"title":821},{"VI":679},{"url":806,"publisher":823,"properties":845},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":824,"slug":10,"properties":825,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":828,"manageAffiliations":829,"indexDatabases":830,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":826,"title":827},{"VOID":13},{"EN":15},[],[],[831,838],{"id":80,"indexDatabase":832,"url":95,"indexYears":18,"academicFieldIds":837,"indexDatabaseRanking":18},{"id":82,"createTime":83,"updateTime":84,"relativeEntities":833,"label":834,"description":835,"key":91,"publicationTags":836,"standard":18},[],{"EN":87,"VI":87},{"VI":89,"EN":90},[93,94],[97],{"id":59,"indexDatabase":839,"url":72,"indexYears":73,"academicFieldIds":844,"indexDatabaseRanking":78},{"id":61,"createTime":62,"updateTime":63,"relativeEntities":840,"label":841,"description":842,"key":69,"publicationTags":843,"standard":18},[],{"EN":66,"VI":66},{"EN":66,"VI":68},[71],[75,76,77],{"volume":846,"pages":848},{"VOID":847},"4",{"VOID":849},"293-309","1987-01-01",1987,{"id":853,"createTime":854,"updateTime":855,"relativeEntities":856,"slug":857,"properties":858,"entityType":115,"verifyStatus":116,"verifyTime":855,"verifyNote":117,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118,"primaryUrl":865,"fullTextUrl":18,"authors":866,"publicationType":137,"publisherRelationship":911,"citationCount":18,"citationInfo":18,"publishDate":939,"publishYear":167,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":168},"0ab86c31-0abd-4447-b383-2fcbacafd6df","2024-01-28T12:36:41.841+00:00","2025-02-23T23:47:56.838+00:00",[],"Structural-design-for-earthquake-resilience-Info-gap-management-of-uncertainty",{"references":859,"title":861,"doi":863},{"VOID":860},"Agarwal, 2007, Earthquake induced pounding in friction varying base isolated buildings, Eng Struct, 29, 2825, 10.1016\u002Fj.engstruct.2007.01.026\nBen-Haim, 2006\nBocchini, 2012, Optimal resilience- and cost-based postdisaster intervention prioritization for bridges along a highway segment, J Bridge Eng (ASCE), 17, 117, 10.1061\u002F(ASCE)BE.1943-5592.0000201\nBocchini, 2014, Resilience and sustainability of civil infrastructure: toward a unified approach, J Infrastruct Syst (ASCE), 20, 04014004, 10.1061\u002F(ASCE)IS.1943-555X.0000177\nBrooks N. Vulnerability, risk and adaptation: a conceptual framework. Tyndall Centre for Climate Change Research Working Paper 38, September 2003.\nBruneau, 2003, A framework to quantitatively assess and enhance the seismic resilience of communities, Earthquake Spectra, 19, 733, 10.1193\u002F1.1623497\nBruneau, 2007, Exploring the concept of seismic resilience for acute care facilities, Earthquake Spectra, 23, 41, 10.1193\u002F1.2431396\nÇağnan, 2006, Post-earthquake restoration planning for Los Angeles electric power, Earthquake Spectra, 22, 589, 10.1193\u002F1.2222400\nChandrasekaran, 2015, Retrofit optimization for resilience enhancement of bridges under multihazard scenario, J Struct Eng (ASCE), C4015012\nChang, 2004, Measuring improvements in the disaster resilience of communities, Earthquake Spectra, 20, 739, 10.1193\u002F1.1775796\nChopra, 2012\nCimellaro, 2017, Using discrete event simulation models to evaluate resilience of an emergency department, J Earthquake Eng, 21, 203, 10.1080\u002F13632469.2016.1172373\nCimellaro, 2010, Framework for analytical quantification of disaster resilience, Eng Struct, 32, 3639, 10.1016\u002Fj.engstruct.2010.08.008\nCimellaro, 2010, Seismic resilience of a hospital system, Struct Infrastruct Eng, 6, 127, 10.1080\u002F15732470802663847\nCimellaro, 2011, Performance-based metamodel for healthcare facilities, Earthquake Eng Struct Dynam, 40, 1197, 10.1002\u002Feqe.1084\nCimellaro, 2016, PEOPLES: a framework for evaluating resilience, J Struct Eng (ASCE), 04016063\nCimellaro, 2014, Physical infrastructure interdependency and regional resilience index after the 2011 Tohoku Earthquake in Japan, Earthquake Eng Struct Dynam, 43, 1763, 10.1002\u002Feqe.2422\nCimellaro, 2016, New resilience index for urban water distribution networks, J Struct Eng (ASCE), 142, C4015014, 10.1061\u002F(ASCE)ST.1943-541X.0001433\nCimellaro GP, Tinebra A, Renschler C, Fragiadakis M. Closure to New Resilience Index for Urban Water Distribution Networks by G.P. Cimellaro, A. Tinebra, C. Renschler, and M. Fragiadakis. J Struct Eng (ASCE), to appear. doi: http:\u002F\u002Fdx.doi.org\u002F10.1061\u002F(ASCE)ST.1943-541X.0001813.\nDong, 2015, Risk and resilience assessment of bridges under mainshock and aftershocks incorporating uncertainties, Eng Struct, 83, 198, 10.1016\u002Fj.engstruct.2014.10.050\nDong, 2016, Performance-based seismic assessment of conventional and base-isolated steel buildings including environmental impact and resilience, Earthquake Eng Struct Dynam, 45, 739, 10.1002\u002Feqe.2682\nHall, 1995, Near-source ground motion and its effects on flexible buildings, Earthquake Spectra, 11, 569, 10.1193\u002F1.1585828\nKomodromos, 2008, Simulation of the earthquake-induced pounding of seismically isolated buildings, Comput Struct, 86, 618, 10.1016\u002Fj.compstruc.2007.08.001\nKomodromos, 2007, Response of seismically isolated buildings considering poundings, Earthquake Eng Struct Dynam, 36, 1605, 10.1002\u002Feqe.692\nMalhotra, 1997, Dynamics of seismic impacts in base-isolated buildings, Earthquake Eng Struct Dynam, 26, 797, 10.1002\u002F(SICI)1096-9845(199708)26:8\u003C797::AID-EQE677>3.0.CO;2-6\nMasroor, 2012, Experimental simulation of base-isolated buildings pounding against moat wall and effects on superstructure response, Earthquake Eng Struct Dynam, 41, 2093, 10.1002\u002Feqe.2177\nMasroor, 2013, Impact model for simulation of base isolated buildings impacting flexible moat walls, Earthquake Eng Struct Dynam, 42, 357, 10.1002\u002Feqe.2210\nMatsagar, 2003, Seismic response of base-isolated structures during impact with adjacent structures, Eng Struct, 25, 1311, 10.1016\u002FS0141-0296(03)00081-6\nMazza, 2012, Effects of near-fault ground motions on the nonlinear dynamic response of base-isolated r.c.framed buildings, Earthquake Eng Struct Dynam, 41, 211, 10.1002\u002Feqe.1126\nMcDaniels, 2008, Fostering resilience to extreme events within infrastructure systems: characterizing decision contexts for mitigation and adaptation, Global Environm Change, 18, 310, 10.1016\u002Fj.gloenvcha.2008.03.001\nMochizuki, 2017, In search of perfect foresight? Policy bias, management of unknowns, and what has changed in science policy since the Tohoku disaster, Risk Anal, 37, 219, 10.1111\u002Frisa.12602\nNagarajaiah, 2001, Base-isolated FCC building: impact response in Northridge earthquake, J Struct Eng (ASCE), 127, 1063, 10.1061\u002F(ASCE)0733-9445(2001)127:9(1063)\nNeelakantan, 2017, Discussion of new resilience index for urban water distribution networks by G.P. Cimellaro, A. Tinebra, C. Renschler, and M. Fragiadakis, J Struct Eng (ASCE), 143, 07017001, 10.1061\u002F(ASCE)ST.1943-541X.0001812\nPant, 2014, Static and dynamic metrics of economic resilience for interdependent infrastructure and industry sectors, Reliab Eng Syst Saf, 125, 92, 10.1016\u002Fj.ress.2013.09.007\nPant, 2012, Structural performance of a base-isolated reinforced concrete building subjected to seismic pounding, Earthquake Eng Struct Dynam, 41, 1709, 10.1002\u002Feqe.2158\nPant, 2014, Performance of base-isolated reinforced concrete buildings under bidirectional seismic excitation considering pounding with retaining walls including friction effects, Earthquake Eng Struct Dynam, 43, 1521, 10.1002\u002Feqe.2409\nPateli, 2009, Decision making on governance of strategic technology alliances, Manag. Decis., 47, 246, 10.1108\u002F00251740910938902\nPolycarpou, 2010, Earthquake-induced poundings of a seismically isolated building with adjacent structures, Eng Struct, 32, 1937, 10.1016\u002Fj.engstruct.2010.03.011\nPolycarpou, 2010, On poundings of a seismically isolated building with adjacent structures during strong earthquakes, Earthquake Eng Struct Dynam, 39, 933\nPolycarpou, 2013, A nonlinear impact model for simulating the use of rubber shock absorbers for mitigating the effects of structural pounding during earthquakes, Earthquake Eng Struct Dynam, 42, 81, 10.1002\u002Feqe.2194\nPorter, 2001, Assembly-based vulnerability of buildings and its use in performance evaluation, Earthquake Spectra, 17, 291, 10.1193\u002F1.1586176\nTierney, 2007, Conceptualizing and measuring resilience: a key to disaster loss reduction, TR News, 250, 14\nTsai, 1997, Dynamic analysis of base-isolated shear beams bumping against stops, Earthquake Eng Struct Dynam, 26, 1096, 10.1002\u002F(SICI)1096-9845(199705)26:5\u003C515::AID-EQE654>3.0.CO;2-C\nTirca, 2015, Improving the seismic resilience of existing braced-frame office buildings, J Struct Eng (ASCE), C4015003\nQu, 2013, Influence of isolation gap size on the collapse performance of seismically base-isolated buildings, Earthquake Spectra, 29, 1477, 10.1193\u002F031912EQS097M\nSharma, 2015, Assessing inherent vulnerability of forests: a methodological approach and a case study from Western Ghats, India, Mitig. Adapt. Strat. Glob. Change, 20, 573, 10.1007\u002Fs11027-013-9508-5",{"EN":862},"Structural design for earthquake resilience: Info-gap management of uncertainty",{"VOID":864},"10.1016\u002Fj.strusafe.2017.07.004","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0167473016300510",[867,884,899],{"id":868,"sortIndex":186,"researcher":18,"roles":869,"affiliations":870,"properties":881},"1dbe13e4-17b1-4d75-ad4d-10d5e8b482ec",[124],[871],{"id":18,"sortIndex":118,"affiliation":872,"properties":18},{"id":873,"createTime":874,"updateTime":875,"relativeEntities":876,"slug":877,"properties":878,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"08660d09-df4d-44f2-8490-ed32cb3f8f48","2023-12-18T09:42:56.158+00:00","2025-06-11T21:23:40.104+00:00",[],"Yitzhak-Moda-i-Chair-in-Technology-and-Economics-Faculty-of-Mechanical-Engineering-Technion-Israel-Institute-of-Technology-Haifa-32000-Israel",{"title":879},{"VI":880},"Yitzhak Moda'i Chair in Technology and Economics, Faculty of Mechanical Engineering, Technion—Israel Institute of Technology, Haifa 32000, Israel",{"title":882},{"VI":883},"Yakov Ben-Haim",{"id":885,"sortIndex":214,"researcher":18,"roles":886,"affiliations":887,"properties":896},"7ebf71ae-b1d5-40ba-bee6-eabbbed924f6",[124],[888],{"id":18,"sortIndex":118,"affiliation":889,"properties":18},{"id":890,"createTime":891,"updateTime":891,"relativeEntities":892,"slug":18,"properties":893,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},"a9725e7b-7b0c-4386-82e8-b75adf4f277b","2024-01-28T12:36:41.853+00:00",[],{"title":894},{"VI":895},"Laboratory for Future Interdisciplinary Research of Science and Technology, Institute of Innovative Research, Tokyo Institute of Technology, Japan",{"title":897},{"VI":898},"Shinnosuke Fujita",{"id":900,"sortIndex":118,"researcher":18,"roles":901,"affiliations":902,"properties":908},"fd61ef71-872c-4ea4-b0a2-2d65b66a8ad2",[124],[903],{"id":18,"sortIndex":118,"affiliation":904,"properties":18},{"id":890,"createTime":891,"updateTime":891,"relativeEntities":905,"slug":18,"properties":906,"entityType":54,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":118},[],{"title":907},{"VI":895},{"title":909},{"VI":910},"Yoshihiro Kanno",{"url":865,"publisher":912,"properties":934},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":913,"slug":10,"properties":914,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":917,"manageAffiliations":918,"indexDatabases":919,"url":18,"thumbnailPath":18,"statistic":18,"gsStatistic":18,"type":18,"analyzePriority":18},[],{"issn":915,"title":916},{"VOID":13},{"EN":15},[],[],[920,927],{"id":80,"indexDatabase":921,"url":95,"indexYears":18,"academicFieldIds":926,"indexDatabaseRanking":18},{"id":82,"createTime":83,"updateTime":84,"relativeEntities":922,"label":923,"description":924,"key":91,"publicationTags":925,"standard":18},[],{"EN":87,"VI":87},{"VI":89,"EN":90},[93,94],[97],{"id":59,"indexDatabase":928,"url":72,"indexYears":73,"academicFieldIds":933,"indexDatabaseRanking":78},{"id":61,"createTime":62,"updateTime":63,"relativeEntities":929,"label":930,"description":931,"key":69,"publicationTags":932,"standard":18},[],{"EN":66,"VI":66},{"EN":66,"VI":68},[71],[75,76,77],{"volume":935,"pages":937},{"VOID":936},"69",{"VOID":938},"23-33","2017-11-01"]