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Veneranda Fabbrica del Duomo, Milan (in Italian)\nBrivio E (1989) Guida del Duomo di Milano. Veneranda Fabbrica del Duomo, Milan (in Italian)\nFerrari da Passano C (1973) Storia della Veneranda Fabbrica. Cassa di Risparmio delle Province Lombarde, Milan (in Italian)\nhttps:\u002F\u002Fwww.duomomilano.it\u002Fen\u002F. Accessed 07 Apr 2019\nBonazza A, Sabbioni C, Ghedini N, Favoni O, Zappia G (2004) Carbon data in black crusts on European monuments. In: Saiz-Jimenez C (ed) Air pollution and cultural heritage. Taylor and Francis, London, pp 39–46\nFerrari da Passano C (1988) Il Duomo rinato. Veneranda Fabbrica del Duomo, Milan (in Italian)\nVicentini G (1906) Il pendolo registratore dei movimenti dell’aguglia maggiore del Duomo di Milano. Hoepli, Milan (in Italian)\nCigada A, Corradi Dell’Acqua L, Mörlin Visconti Castiglione B, Scaccabarozzi M, Vanali M, Zappa E (2016) Structural health monitoring of an historical building: the main spire of the Duomo di Milano. Int J Archit Herit 11(4):501–518. https:\u002F\u002Fdoi.org\u002F10.1080\u002F15583058.2016.1263691\nGentile C, Poggi C, Ruccolo A, Vasic M (2019) Vibration-based assessment of the tensile force in the tie-rods of the Milan Cathedral. Int J Archit Herit 13(3):402–415. https:\u002F\u002Fdoi.org\u002F10.1080\u002F15583058.2018.1563235\nCanali F, Gentile C (2018) Continuous monitoring the cathedral of Milan: documentary and preliminary investigations. In: Proceedings of 10th international masonry conference (10th IMC), Milan, pp 2061–2072\nAste N, Adhikari RS, Buzzetti M, Della Torre S, Del Pero C, Huerto HE, Leonforte CF (2019) Microclimatic monitoring of the Duomo (Milan Cathedral): risks-based analysis for the conservation of its cultural heritage. Build Environ 148:240–257. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.buildenv.2018.11.015\nSaisi A, Gentile C, Guidobaldi M (2015) Post-earthquake continuous dynamic monitoring of the Gabbia Tower in Mantua, Italy. Constr Build Mater 81:101–112. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.conbuildmat.2015.02.010\nUbertini F, Cavalagli N, Kita A, Comanducci G (2017) Assessment of a monumental masonry bell-tower after 2016 Central Italy seismic sequence by long-term SHM. Bull Earthq Eng 16(2):775–801. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10518-017-0222-7\nMasciotta MG, Roque JCA, Ramos LF, Lourenço PB (2016) A multidisciplinary approach to assess the health state of heritage structures: the case study of the Church of Monastery of Jerónimos in Lisbon. Constr Build Mater 116:169–187. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.conbuildmat.2016.04.146\nMasciotta MG, Ramos LF, Lourenço PB (2017) The importance of structural monitoring as a diagnosis and control tool in the restoration process of heritage structures: a case study in Portugal. J Cult Herit 27:36–47. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.culher.2017.04.003\nElyamani A, Caselles O, Roca P, Clapes J (2017) Dynamic investigation of a large historical cathedral. Struct Control Health Monit 24(3):e1885. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fstc.1885\nKita A, Cavalagli N, Ubertini F (2019) Temperature effects on static and dynamic behaviour of Consoli Palace in Gubbio, Italy. Mech Syst Signal Process 120:180–202. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ymssp.2018.10.021\nPappa RS, Elliott KB, Schenk A (1992) A consistent-mode indicator for the Eigen system realization algorithm. In: NASA technical memorandum 107607, NASA Langley Research Center, Hampton\nHeylen W, Lammens S, Sas P (2007) Modal analysis: theory and testing. KU Leuven, Leuven\nCabboi A, Gentile C, Saisi A (2014) Vibration-based SHM of a centenary bridge: a comparative study between two different automated OMA techniques. In: Proceedings of the 9th international conference on structural dynamics (EURODYN 2014), Porto, pp 1461–1468\nAzzara RM, De Roeck G, Girardi M, Padovani C, Pellegrini D, Reynders E (2018) The influence of environmental parameters on the dynamic behaviour of the San Frediano bell tower in Lucca. Eng Struct 156:175–187. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.engstruct.2017.10.045\nPeeters B, De Roeck G (1999) Reference-based stochastic subspace identification for output-only modal analysis. Mech Syst Signal Process 13(6):855–878. https:\u002F\u002Fdoi.org\u002F10.1006\u002Fmssp.1999.1249\nPeeters B (2000) System identification and damage detection in civil engineering. PhD thesis, KU Leuven, Belgium\nAllemang RJ, Brown DL (1982) A correlation coefficient for modal vector analysis. In: Proceedings of the 1st international modal analysis conference (IMAC-I), Orlando, USA, pp 110–116\nBrincker R, Zhang L, Andersen P (2001) Modal identification of output-only systems using frequency domain decomposition. Smart Mater Struct 10:441–445. https:\u002F\u002Fdoi.org\u002F10.1088\u002F0964-1726\u002F10\u002F3\u002F303\nMason RL, Gunst RF, Hess JL (2003) Statistical design and analysis of experiments with applications to engineering and science. Wiley, New York\nJolliffe IT (2002) Principal component analysis. Springer, New York\nRainieri C, Magalhães F, Gargaro D, Fabbrocino G, Cunha À (2019) Predicting the variability of natural frequencies and its causes by Second Order Blind Identification. Struct Health Monit 18(2):486–507. https:\u002F\u002Fdoi.org\u002F10.1177\u002F1475921718758629",{"EN":128},"The traditional collaboration between Politecnico di Milano and Veneranda Fabbrica del Duomo di Milano—the historic institution established by Gian Galeazzo Visconti in 1387 and having in charge all operational aspects related to the Milan Cathedral since more than 600 years—recently focused on the design and installation of a structural monitoring system, with the objective of assisting the condition-based structural maintenance of the historic church through the continuous interrogation of sensors installed in the structure and the extraction from measured data of features which are representative of the current state of structural health. The new monitoring system of the Milan Cathedral includes different types of measurements and sensors: quasi-static acquisition of strain in selected tie-rods and biaxial tilt of selected piers and the main spire, monitoring of inner and outer environmental parameters and dynamic measurement of the velocity response at the top of 14 piers and at 3 levels of the main spire. After a concise description of the historic church and of the monitoring system, the paper focuses on the dynamic characteristics of the Milan Cathedral, their evolution during the first months of monitoring (since October 16th, 2018) and the lessons learned in view of the structural health monitoring of the monument. The presented results from the vibration monitoring highlight that: (a) 8 global modes of vibration are automatically detected in the frequency range 1.0–5.0 Hz; (b) the resonant frequencies exhibit a distinctive trend of variation, which is mainly driven by temperature; (c) the mode shapes of the cathedral do not show appreciable fluctuations associated with the environmental effects.",{"EN":130},"Continuous monitoring of the Milan Cathedral: dynamic characteristics and vibration-based SHM",{"VOID":132},"10.1007\u002Fs13349-019-00361-8","PUBLICATION","VERIFIED","Auto 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Ruccolo","ARTICLE",{"url":136,"publisher":188,"properties":216},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":189,"slug":10,"properties":190,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":194,"manageAffiliations":195,"indexDatabases":196,"url":104,"thumbnailPath":20,"statistic":211,"gsStatistic":20,"type":113,"analyzePriority":20},[],{"issn":191,"eissn":192,"title":193},{"VOID":13},{"VOID":15},{"EN":17},[],[],[197,204],{"id":66,"indexDatabase":198,"url":81,"indexYears":20,"academicFieldIds":203,"indexDatabaseRanking":20},{"id":68,"createTime":69,"updateTime":70,"relativeEntities":199,"label":200,"description":201,"key":77,"publicationTags":202,"standard":20},[],{"EN":73,"VI":73},{"VI":75,"EN":76},[79,80],[83],{"id":85,"indexDatabase":205,"url":98,"indexYears":99,"academicFieldIds":210,"indexDatabaseRanking":103},{"id":87,"createTime":88,"updateTime":89,"relativeEntities":206,"label":207,"description":208,"key":95,"publicationTags":209,"standard":20},[],{"EN":92,"VI":92},{"EN":92,"VI":94},[97],[101,102],{"impactFactor":21,"impactFactorByYear":212,"i10Index":21,"i10IndexLast5Year":21,"totalPublication":62,"totalPublicationByYear":213,"totalCitation":21,"totalCitationByYear":214,"totalCitationPerPublication":21,"totalCitationPerPublicationByYear":215,"hindexLast5Year":21,"hindex":21},{},{"2017":108,"2020":109,"2021":108,"2022":110},{},{},{"volume":217,"pages":219},{"VOID":218},"9",{"VOID":220},"671-688","2019-10-25",2019,false,{"id":225,"createTime":226,"updateTime":227,"relativeEntities":228,"slug":229,"properties":230,"entityType":133,"verifyStatus":134,"verifyTime":227,"verifyNote":135,"syncStatus":19,"languages":242,"translateLanguages":20,"viewCount":21,"primaryUrl":244,"fullTextUrl":20,"authors":245,"publicationType":186,"publisherRelationship":300,"citationCount":329,"citationInfo":330,"publishDate":333,"publishYear":334,"citationAnalyzeStatus":335,"lastCitationAnalyze":336,"indexDatabases":20,"openAccess":20,"references":337,"isForceReanalyzing":223},"b85b0a17-58ad-4376-8359-11489c6a9ec0","2024-04-11T18:24:34.787+00:00","2024-12-05T23:56:35.141+00:00",[],"Distributed-fiber-optic-sensing-along-driven-ductile-piles-Design-sensor-installation-and-monitoring-benefits",{"mag":231,"keywords":233,"openalex":234,"abstract":236,"title":238,"doi":240},{"VOID":232},"3033005459",{},{"VOID":235},"W3033005459",{"EN":237},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:p>Efficient and economic foundations are essential to ensure the long-term integrity of structures. Driven ductile piles offer a safe and quick solution for foundations, which can be individually customized to changing soil conditions. Geotechnical load tests on a small subset of piles can be performed at large construction sites to examine the bearing capacity for optimization purposes. Arising deformations during these statical tests are usually measured using electrical sensors at the top, which, however, do not deliver information about the stress distribution along the pile. This paper presents a fiber optic monitoring approach, which provides distributed strain profiles with a spatial resolution of up to 10 mm along driven ductile piles. The high measurement resolution of about \u003Cjats:inline-formula>\u003Cjats:alternatives>\u003Cjats:tex-math>$$1~{\\mu}m\u002Fm$$\u003C\u002Fjats:tex-math>\u003Cmml:math xmlns:mml=\"http:\u002F\u002Fwww.w3.org\u002F1998\u002FMath\u002FMathML\">\n\u003Cmml:mrow>\n\u003Cmml:mn>1\u003C\u002Fmml:mn>\n\u003Cmml:mspace \u002F>\n\u003Cmml:mi>μ\u003C\u002Fmml:mi>\n\u003Cmml:mi>m\u003C\u002Fmml:mi>\n\u003Cmml:mo>\u002F\u003C\u002Fmml:mo>\n\u003Cmml:mi>m\u003C\u002Fmml:mi>\n\u003C\u002Fmml:mrow>\n\u003C\u002Fmml:math>\u003C\u002Fjats:alternatives>\u003C\u002Fjats:inline-formula> enables the detection of local effects in the load transfer from the pile to the surrounding grout and soil. The critical sensor installation on-site as well as results of various field applications with pile lengths of up to 25 m are presented. Verification measurements at the pile’s head and internal measurements of strain gauges prove the suitability of the developed monitoring approach and demonstrate the high potential of distributed fiber optic sensing for applications in soil mechanics.\u003C\u002Fjats:p>",{"EN":239},"Distributed fiber optic sensing along driven ductile piles: Design, sensor installation and monitoring benefits",{"VOID":241},"10.1007\u002Fs13349-020-00406-3",[243],"EN","https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs13349-020-00406-3",[246,266,284],{"id":247,"sortIndex":21,"researcher":20,"roles":248,"affiliations":249,"properties":259},"f640cbc7-2c62-48fb-99a6-bf5b438b6ad3",[],[250],{"id":20,"sortIndex":21,"affiliation":251,"properties":20},{"id":252,"createTime":253,"updateTime":253,"relativeEntities":254,"slug":255,"properties":256,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"9a7bfc7d-1919-4434-834e-486da095cb16","2024-04-11T18:24:35.692+00:00",[],"Institute-of-Engineering-Geodesy-and-Measurement-Systems-Graz-University-of-Technology-Steyrergasse-30-8010-Graz-Austria",{"title":257},{"EN":258},"Institute of Engineering Geodesy and Measurement Systems, Graz University of Technology, Steyrergasse 30, 8010, Graz, Austria",{"openalex":260,"orcid":262,"title":264},{"VOID":261},"A5069567749",{"VOID":263},"https:\u002F\u002Forcid.org\u002F0000-0003-0937-014X",{"EN":265},"Christoph Monsberger",{"id":267,"sortIndex":109,"researcher":20,"roles":268,"affiliations":269,"properties":279},"fc71a442-5317-4b42-9df1-71e3ba321ab2",[],[270],{"id":20,"sortIndex":21,"affiliation":271,"properties":20},{"id":272,"createTime":273,"updateTime":273,"relativeEntities":274,"slug":275,"properties":276,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"e1d7f896-f4f0-4967-b18e-a78b5a398c80","2024-04-11T18:24:38.802+00:00",[],"Keller-Grundbau-Ges-mbH-Guglgasse-15-1110-Wien-Austria",{"title":277},{"EN":278},"Keller Grundbau Ges.mbH, Guglgasse 15, 1110, Wien, Austria",{"openalex":280,"title":282},{"VOID":281},"A5053060992",{"EN":283},"Martin Hayden",{"id":285,"sortIndex":108,"researcher":20,"roles":286,"affiliations":287,"properties":293},"efcdef45-ad44-42d7-aba8-41678cb9dbbe",[],[288],{"id":20,"sortIndex":21,"affiliation":289,"properties":20},{"id":252,"createTime":253,"updateTime":253,"relativeEntities":290,"slug":255,"properties":291,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":292},{"EN":258},{"openalex":294,"orcid":296,"title":298},{"VOID":295},"A5085269109",{"VOID":297},"https:\u002F\u002Forcid.org\u002F0000-0002-2523-4052",{"EN":299},"Werner Lienhart",{"url":20,"publisher":301,"properties":20},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":302,"slug":10,"properties":303,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":307,"manageAffiliations":308,"indexDatabases":309,"url":104,"thumbnailPath":20,"statistic":324,"gsStatistic":20,"type":113,"analyzePriority":20},[],{"issn":304,"eissn":305,"title":306},{"VOID":13},{"VOID":15},{"EN":17},[],[],[310,317],{"id":66,"indexDatabase":311,"url":81,"indexYears":20,"academicFieldIds":316,"indexDatabaseRanking":20},{"id":68,"createTime":69,"updateTime":70,"relativeEntities":312,"label":313,"description":314,"key":77,"publicationTags":315,"standard":20},[],{"EN":73,"VI":73},{"VI":75,"EN":76},[79,80],[83],{"id":85,"indexDatabase":318,"url":98,"indexYears":99,"academicFieldIds":323,"indexDatabaseRanking":103},{"id":87,"createTime":88,"updateTime":89,"relativeEntities":319,"label":320,"description":321,"key":95,"publicationTags":322,"standard":20},[],{"EN":92,"VI":92},{"EN":92,"VI":94},[97],[101,102],{"impactFactor":21,"impactFactorByYear":325,"i10Index":21,"i10IndexLast5Year":21,"totalPublication":62,"totalPublicationByYear":326,"totalCitation":21,"totalCitationByYear":327,"totalCitationPerPublication":21,"totalCitationPerPublicationByYear":328,"hindexLast5Year":21,"hindex":21},{},{"2017":108,"2020":109,"2021":108,"2022":110},{},{},13,{"total":329,"publishYear":20,"statisticByYear":331},{"2021":332,"2022":110,"2023":110,"2024":108},6,"2020-09-01",2020,"ERROR_IN_ANALYZE_CITATION","2024-04-11T21:45:32.838+00:00",[338,342,346,350,354,358,362,366,369,372,376,380,384,388,392,395,398,401,405,409,413,417,421,424,428,432,436,439,442,445,449],{"id":20,"text":339,"url":20,"identifiers":340},"Bersan S, Bergamo O, Palmieri L, Schenato L, Simonini P (2018) Distributed strain measurements in a cfa pile using high spatial resolution fibre optic sensors. 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Struct Health Monit 11:345–357. https:\u002F\u002Fdoi.org\u002F10.1177\u002F1475921711419995",{"EN":543},"Damage detection is of great importance in reducing maintenance cost and preventing collapse of structures. Despite existing damage detection methods, the current literature lacks a comprehensive method, which: (i) is applicable to complex structures with large degrees of freedom, (ii) captures even low-level damages, and (iii) gives reasonable accuracy in the presence of uncertainty conditions such as noise and temperature. Hence, this study proposes a damage detection algorithm based on discrete wavelet transform and an ensemble of pattern recognition models, in which: (1) vibration data is decomposed through discrete wavelet transforms, (2) the decomposed data is compressed using principal component analysis, (3) individual damage models of the structure are trained through pattern recognition models of deep neural network and couple sparse coding, where the compressed decomposed vibration data as well as damage data are inputted, and (4) ultimately, the individual damage models are merged into one by majority voting to predict damage location and severity of the structure. The proposed algorithm is tested on a numerical model of a one-bay three-story steel frame, and experimental data of a large-scale bridge structure. It is found that the algorithm can precisely detect low-level damages at multiple locations, even in beam–column connections and complex structures, in the presence of uncertainty conditions such as noise and temperature.",{"EN":545},"A structural damage detection algorithm based on discrete wavelet transform and ensemble pattern recognition models",{"VOID":547},"10.1007\u002Fs13349-021-00546-0","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs13349-021-00546-0",[550,565,580],{"id":551,"sortIndex":108,"researcher":20,"roles":552,"affiliations":553,"properties":562},"ca82869b-1792-48cd-a297-85553a8c8345",[141],[554],{"id":20,"sortIndex":21,"affiliation":555,"properties":20},{"id":556,"createTime":557,"updateTime":557,"relativeEntities":558,"slug":20,"properties":559,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"99f2bfc4-4d3f-471c-87ed-83b4822b6c4a","2023-12-26T06:42:07.233+00:00",[],{"title":560},{"VI":561},"Faculty of Engineering and the Built Environment, Birmingham City University, Birmingham, UK",{"title":563},{"VI":564},"Ehsan Ahmadi",{"id":566,"sortIndex":109,"researcher":20,"roles":567,"affiliations":568,"properties":577},"4962ff2e-c53a-4906-958b-de65ca7df717",[141],[569],{"id":20,"sortIndex":21,"affiliation":570,"properties":20},{"id":571,"createTime":572,"updateTime":572,"relativeEntities":573,"slug":20,"properties":574,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"864f9344-8cf1-4672-a745-1d017325b91a","2023-12-26T06:42:07.221+00:00",[],{"title":575},{"VI":576},"Faculty of Civil Engineering, Amirkabir University of Technology, Tehran, Iran",{"title":578},{"VI":579},"Faramarz Khoshnoudian",{"id":581,"sortIndex":21,"researcher":20,"roles":582,"affiliations":583,"properties":589},"44fa309c-20b3-489f-9d1b-848bc4c40a68",[141],[584],{"id":20,"sortIndex":21,"affiliation":585,"properties":20},{"id":571,"createTime":572,"updateTime":572,"relativeEntities":586,"slug":20,"properties":587,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":588},{"VI":576},{"title":590},{"VI":591},"Milad Fallahian",{"url":548,"publisher":593,"properties":621},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":594,"slug":10,"properties":595,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":599,"manageAffiliations":600,"indexDatabases":601,"url":104,"thumbnailPath":20,"statistic":616,"gsStatistic":20,"type":113,"analyzePriority":20},[],{"issn":596,"eissn":597,"title":598},{"VOID":13},{"VOID":15},{"EN":17},[],[],[602,609],{"id":66,"indexDatabase":603,"url":81,"indexYears":20,"academicFieldIds":608,"indexDatabaseRanking":20},{"id":68,"createTime":69,"updateTime":70,"relativeEntities":604,"label":605,"description":606,"key":77,"publicationTags":607,"standard":20},[],{"EN":73,"VI":73},{"VI":75,"EN":76},[79,80],[83],{"id":85,"indexDatabase":610,"url":98,"indexYears":99,"academicFieldIds":615,"indexDatabaseRanking":103},{"id":87,"createTime":88,"updateTime":89,"relativeEntities":611,"label":612,"description":613,"key":95,"publicationTags":614,"standard":20},[],{"EN":92,"VI":92},{"EN":92,"VI":94},[97],[101,102],{"impactFactor":21,"impactFactorByYear":617,"i10Index":21,"i10IndexLast5Year":21,"totalPublication":62,"totalPublicationByYear":618,"totalCitation":21,"totalCitationByYear":619,"totalCitationPerPublication":21,"totalCitationPerPublicationByYear":620,"hindexLast5Year":21,"hindex":21},{},{"2017":108,"2020":109,"2021":108,"2022":110},{},{},{"volume":622,"pages":624},{"VOID":623},"12",{"VOID":625},"323-338","2022-01-08",2022,{"id":629,"createTime":630,"updateTime":630,"relativeEntities":631,"slug":20,"properties":632,"entityType":133,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":641,"fullTextUrl":20,"authors":642,"publicationType":186,"publisherRelationship":733,"citationCount":20,"citationInfo":20,"publishDate":766,"publishYear":627,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":223},"41dfc85a-18ff-429d-bffa-f615a2f592b1","2023-12-26T23:54:01.361+00:00",[],{"references":633,"abstract":635,"title":637,"doi":639},{"VOID":634},"Friswell M, Mottershead JE (1995) Finite element model updating in structural dynamics. 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BRANZ\nIsmail N, Griffith M, Ingham JM (2011) Performance of masonry buildings during the 2010 Darfield (New Zealand) Earthquake. In: Proceedings 11th North American masonry conference, Masonry Society and Related Masonry Industry Organizations, Minneapolis, pp 1–13\nAugenti N, Parisi F (2010) Learning from construction failures due to the 2009 L’Aquila, Italy, earthquake. J Perform Constr Facil 24(6):536–555\nMATLAB (2017) The MathWorks Inc., Natick\nARTeMIS Extractor Pro (2016) Structural Vibration Solutions, Aalborg\nBrincker R, Zhang L, Andersen P (2001) Modal identification of output-only systems using frequency domain decomposition. Smart Mater Struct 10(3):441–445\nAllemang RJ (2003) The modal assurance criterion—twenty years of use and abuse. Sound Vib 37(8):14–21\nLourenço PB (1996) Computational strategies for masonry structures. Ph.D. thesis, Delft University Press\nSacco E, Addessi D, Sab K (2018) New trends in mechanics of masonry. Meccanica 53(7):1565–1569\nTeughels A (2003) Inverse modelling of civil engineering structures based on operational modal data. Ph.D. thesis, Katholieke Universiteit of Leuven.\nTeughels A, De Roeck G (2004) Structural damage identification of the highway bridge Z24 by FE model updating. J Sound Vib 278(3):589–610\nABAQUS (2017) Dassault Systèmes Simulia Corp., Jonhston\nRamos LF, Costa AC, Lourenço PB (2005) Operational modal analysis for damage detection of a masonry construction. In: Proceedings 1st international operational modal analysis conference. Aalborg University, Copenhagen, pp 495–502\nMouyiannou A, Rota M, Penna A, Magenes G (2014) Identification of suitable limit states from nonlinear dynamic analyses of masonry structures. J Earthq Eng 18(2):231–263\nCeravolo R, Pistone G, Fragonara LZ, Massetto S, Abbiati G (2016) Vibration-based monitoring and diagnosis of cultural heritage: a methodological discussion in three examples. Int J Archit Herit 10(4):375–395\nASTM International (2004) Standard test method for in situ measurement of masonry deformability properties using the flatjack method. ASTM C1197-04\nRILEM (2004) RILEM MDT.D.5 – In-situ stress-strain behavior tests based on the flat jack. RILEM TC 177-MDT: masonry durability and on-site testing. Mater Struct 37:497–501\nMottershead JE, Link M, Friswell MI (2011) The sensitivity method in finite element model updating: a tutorial. Mech Syst Signal Process 25(7):2275–2296\nMoaveni B, Stavridis A, Lombaert G, Conte JP, Shing PB (2013) Finite-element model updating for assessment of progressive damage in a 3-story infilled RC Frame. J Struct Eng 139(10):1665–1674\nSimoen E, De Roeck G, Lombaert G (2015) Dealing with uncertainty in model updating for damage assessment: a review. Mech Syst Signal Process 56:123–149\nFEMtools (2017a) Dynamic Design Solutions, Leuven, Belgium\nFEMtools (2017b) FEMtools model updating theoretical manual, version 4.0.0. Dynamic Design Solutions, Leuven",{"EN":636},"Growing interest in the preservation of architectural heritage has revealed a need for tools that are capable to reliably analyze masonry structures. For decades, finite element modeling approach has been commonly used in engineering society to simulate these structures under different conditions; but most of the time, the responses obtained from experiments differ from those of simulations due to the complexity in inherent physical aspects such as material properties, boundary conditions, mass and\u002For stiffness uncertainties. From this perspective, model updating techniques have the potential to overcome these inaccuracies and become essential tools in developing verified finite element models compatible with experiments. In this paper, sensitivity-based finite element model updating studies of the courtyard walls of the historical Isabey Mosque located in Selcuk\u002FIzmir are presented. Dynamic characteristics of the structure are estimated from two sets of ambient vibration measurements by the EFDD operational modal analysis technique. The initial numerical model of the courtyard walls is constituted by macro modeling strategy. In order to obtain a much better correlation with in situ tests, the uncertain parameters such as mass density, Young’s modulus, and boundary conditions of the initial numerical model are updated. Thus, a reliable finite element model that is more representative than the initial one is obtained to be used in future numerical assessment studies. In the presented paper, it is highlighted that the boundary conditions are often the most uncertain parts of a structural system, so they should be included in the updating process for realistic updating results.",{"EN":638},"Model updating of Masonry courtyard walls of the historical Isabey mosque using ambient vibration measurements",{"VOID":640},"10.1007\u002Fs13349-022-00610-3","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs13349-022-00610-3",[643,658,673,688,706,721],{"id":644,"sortIndex":109,"researcher":20,"roles":645,"affiliations":646,"properties":655},"9db64536-8daf-4fd5-9aea-42d12a95cc85",[141],[647],{"id":20,"sortIndex":21,"affiliation":648,"properties":20},{"id":649,"createTime":650,"updateTime":650,"relativeEntities":651,"slug":20,"properties":652,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"257285b6-6018-419e-8740-f1b5a728164b","2023-12-26T23:54:01.399+00:00",[],{"title":653},{"VI":654},"Civil Engineering Department, Nevsehir Haci Bektas Veli University, Nevsehir, Turkey",{"title":656},{"VI":657},"Umut Yucel",{"id":659,"sortIndex":110,"researcher":20,"roles":660,"affiliations":661,"properties":670},"858c30b3-5ee5-4a12-9194-31b82be02371",[141],[662],{"id":20,"sortIndex":21,"affiliation":663,"properties":20},{"id":664,"createTime":665,"updateTime":665,"relativeEntities":666,"slug":20,"properties":667,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"36e96a53-55d3-404e-a92a-b7a0ee9f10ff","2023-12-26T23:54:01.412+00:00",[],{"title":668},{"VI":669},"Department of Construction Technology, Izmir Kavram Vocational School, Izmir, Turkey",{"title":671},{"VI":672},"Erkan Durmazgezer",{"id":674,"sortIndex":108,"researcher":20,"roles":675,"affiliations":676,"properties":685},"2973b3e5-724f-4d12-96f9-8808eb299b6c",[141],[677],{"id":20,"sortIndex":21,"affiliation":678,"properties":20},{"id":679,"createTime":680,"updateTime":680,"relativeEntities":681,"slug":20,"properties":682,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"b6adf2fb-d0c5-43c2-8e9f-44f4229bf2c9","2023-12-26T23:54:01.385+00:00",[],{"title":683},{"VI":684},"Civil Engineering Department, Dokuz Eylul University, Izmir, Turkey",{"title":686},{"VI":687},"Ibrahim Serkan Misir",{"id":689,"sortIndex":690,"researcher":20,"roles":691,"affiliations":692,"properties":703},"a8744891-2150-4b86-9b62-0e938d2465ba",5,[141],[693],{"id":20,"sortIndex":21,"affiliation":694,"properties":20},{"id":695,"createTime":696,"updateTime":697,"relativeEntities":698,"slug":699,"properties":700,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"b75e9181-e89a-43ab-85b5-600f1e358aa1","2023-12-19T19:30:36.162+00:00","2024-09-27T14:58:11.019+00:00",[],"Department-of-Building-Technology-Linnaeus-University-V%C3%A4xj%C3%B6-Sweden",{"title":701},{"VI":702},"Department of Building Technology, Linnaeus University, Växjö, Sweden",{"title":704},{"VI":705},"Carmen Amaddeo",{"id":707,"sortIndex":526,"researcher":20,"roles":708,"affiliations":709,"properties":718},"540f17c3-656b-4f0f-9b58-4de0b349f7be",[141],[710],{"id":20,"sortIndex":21,"affiliation":711,"properties":20},{"id":712,"createTime":713,"updateTime":713,"relativeEntities":714,"slug":20,"properties":715,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"d5dd10c5-0a28-43e2-8b87-c94e7743322e","2023-12-26T23:54:01.426+00:00",[],{"title":716},{"VI":717},"Civil Engineering Department, Osmaniye Korkut Ata University, Osmaniye, Turkey",{"title":719},{"VI":720},"Gokhan Yucel",{"id":722,"sortIndex":21,"researcher":20,"roles":723,"affiliations":724,"properties":730},"62297b7e-4c8f-4f9d-ad13-759906620085",[141],[725],{"id":20,"sortIndex":21,"affiliation":726,"properties":20},{"id":679,"createTime":680,"updateTime":680,"relativeEntities":727,"slug":20,"properties":728,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":729},{"VI":684},{"title":731},{"VI":732},"Ozgur Ozcelik",{"url":641,"publisher":734,"properties":762},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":735,"slug":10,"properties":736,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":740,"manageAffiliations":741,"indexDatabases":742,"url":104,"thumbnailPath":20,"statistic":757,"gsStatistic":20,"type":113,"analyzePriority":20},[],{"issn":737,"eissn":738,"title":739},{"VOID":13},{"VOID":15},{"EN":17},[],[],[743,750],{"id":66,"indexDatabase":744,"url":81,"indexYears":20,"academicFieldIds":749,"indexDatabaseRanking":20},{"id":68,"createTime":69,"updateTime":70,"relativeEntities":745,"label":746,"description":747,"key":77,"publicationTags":748,"standard":20},[],{"EN":73,"VI":73},{"VI":75,"EN":76},[79,80],[83],{"id":85,"indexDatabase":751,"url":98,"indexYears":99,"academicFieldIds":756,"indexDatabaseRanking":103},{"id":87,"createTime":88,"updateTime":89,"relativeEntities":752,"label":753,"description":754,"key":95,"publicationTags":755,"standard":20},[],{"EN":92,"VI":92},{"EN":92,"VI":94},[97],[101,102],{"impactFactor":21,"impactFactorByYear":758,"i10Index":21,"i10IndexLast5Year":21,"totalPublication":62,"totalPublicationByYear":759,"totalCitation":21,"totalCitationByYear":760,"totalCitationPerPublication":21,"totalCitationPerPublicationByYear":761,"hindexLast5Year":21,"hindex":21},{},{"2017":108,"2020":109,"2021":108,"2022":110},{},{},{"volume":763,"pages":764},{"VOID":623},{"VOID":765},"1157-1172","2022-07-27",{"id":768,"createTime":769,"updateTime":770,"relativeEntities":771,"slug":772,"properties":773,"entityType":133,"verifyStatus":134,"verifyTime":770,"verifyNote":135,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":782,"fullTextUrl":20,"authors":783,"publicationType":186,"publisherRelationship":857,"citationCount":20,"citationInfo":20,"publishDate":891,"publishYear":892,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":223},"ee44d364-2873-4f1f-8544-872a00be9b3b","2024-02-07T21:59:41.164+00:00","2024-12-08T23:53:17.560+00:00",[],"Condition-assessment-of-heritage-timber-buildings-in-operational-environments",{"references":774,"abstract":776,"title":778,"doi":780},{"VOID":775},"Balmès É, Basseville M, Mevel L, Nasser H (2009) Handling the temperature effect in vibration monitoring of civil structures: a combined subspace-based and nuisance rejection approach. Control Eng Pract 17(1):80–87\nChan YT, Hu AGC, Plant JB (1979) A Kalman filter based tracking scheme with input estimation. IEEE Trans Aerosp Electron Syst 15:237–244\nDai L, Yang N, Zhang L, Yang QS, Law SS (2016) Monitoring crowd load effect on typical ancient Tibetan building. Struct Control Health Monit 23:998–1014\nDepartment of Architecture, Tsinghua University (1985) Historic Chinese Architecture. Tsing University Press, Beijing, China\nDeraemaeker A, Reynders E, DeRoeck G, Kullaa J (2008) Vibration-based structural health monitoring using output-only measurements under changing environment. Mech Syst Signal Process 22(1):34–56\nDe Stefano A, Matta E, Clemente P (2016) Structural health monitoring of historical heritage in Italy: some relevant experiences. J Civ Struct Health Monit 6(1):83–106\nFang DP, Iwasaki S, Yu MH, Shen QP (2001) Ancient Chinese timber architecture. II: dynamic characteristics. J Struct Eng ASCE 127(11):1358–1364\nHansen PC (1992) Analysis of discrete ill-posed problems by means of the L-curve. SIAM Rev 34:561–580\nKalman RE (1960) A new approach to linear filtering and prediction problem. J Basic Eng 82(1):35–45\nKing WS, Yen JY, Yen YN (1996) Joint characteristics of traditional Chinese wooden frames. Eng Struct 18(8):635–644\nKulprapha N, Warnitchai P (2012) Structrual health monitoring of continuous prestressed concrete bridges using ambient thermal responses. Eng Struct 40:20–38\nLaw SS, Chan THT, Zeng QH (1997) Moving force identification: A time domain method. J Sound Vib 201(1):1–22\nLorenzoni F, Casarin F, Modena C, Caldon M, Islami K, Da Porto F (2013) Structural health monitoring of the Roman Arena of Verona, Italy. J Civ Struct Health Monit 3(4):227–246\nLyu MN, Yang QS (2017) Estimation of thermal load in members of a structure from measured accelerations. Int J Struct Stab Dyn 17(3):1750036\nLyu MN, Zhu XQ, Yang QS (2017) Connection stiffness identification of historic timber buildings using temperature-based sensitivity analysis. Eng Struct 131:180–191\nMaekawa H, Kawai N (1998) Microtremor measurement on Japanese traditional wooden houses which are important cultural properties. In: Proceedings of the world conference on timber engineering, Presses Polytechniques et Universitaires Romandes, Montreux, Switzerland 40–47\nPan SW, Xiao D, Xing ST, Law SS, Du PY, Li YJ (2016) A general extended Kalman filter for simultaneous estimation of system and unknown inputs. Eng Struct 109:85–98\nSeo JM, Choi IK, Lee JR (1999) Static and cyclic behavior of wooden frames with tenon joints under lateral load. J Struct Eng ASCE 125(3):344–349\nSohn H (2007) Effects of environmental and operational variability on structural health monitoring. Philos Trans R Soc A 365(1851):539–560\nSohn H, Worden K, Farrar CR (2002) Statistical damage classification under changing environmental and operational conditions. J Intell Mater Syst Struct 13(9):561–574\nUchida A et al (1998) Dynamic characteristics in Japanese traditional timber buildings. In: Proceedings of the world conference on timber engineering, presses Polytechniques et Universitaires Romandes, Montreux, Switzerland, pp 34–41\nYarnold MT, Moon FL (2015) Temperature-based structural health monitoring baseline for long-span bridges. Eng Struct 86:157–167\nZhu XQ, Law SS (2001) Identification of moving loads on an orthotropic plate. J Vib Acoust 123(2):238–244",{"EN":777},"Due to changing environments and aging, the structural resistance of the heritage buildings has been reduced significantly. It has become crucial to monitor and protect the architectural heritage buildings. The objective of this research is to monitor and assess the performance of the heritage Tibetan timber building in operational environments. A three-storey corridor part of the typical heritage building was chosen in the study. A long-term monitoring system was installed in the building to collect the structural response and temperature. Detailed finite element model was built based on site investigation and existing documents, and updated based on the temperature-based response sensitivity using the field-monitoring data. The updated model was further evaluated using the static and dynamic analysis for condition assessment of the building in operational environments. The results show that the updated model is effective and accurate to predict the structural behaviour of the building in operational environments. Based on temperature-based response sensitivity, it is capable of tracking structure performance throughout the life-cycle allowing for condition-based maintenance and structural protection.",{"EN":779},"Condition assessment of heritage timber buildings in operational environments",{"VOID":781},"10.1007\u002Fs13349-017-0239-2","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs13349-017-0239-2",[784,811,826],{"id":785,"sortIndex":109,"researcher":20,"roles":786,"affiliations":787,"properties":808},"8cae5b65-d2a9-4116-80ef-379a5e1af4bc",[141],[788,796],{"id":20,"sortIndex":21,"affiliation":789,"properties":20},{"id":790,"createTime":791,"updateTime":791,"relativeEntities":792,"slug":20,"properties":793,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"9251b66d-0a5b-46de-82ea-939e1f66e3b8","2023-12-14T14:06:38.582+00:00",[],{"title":794},{"VI":795},"Beijing’s Key Laboratory of Structural Wind Engineering and Urban Wind Environment, Beijing, China",{"id":797,"sortIndex":108,"affiliation":798,"properties":807},"5f9b8390-6161-47b9-9e0a-d8bf7c531254",{"id":799,"createTime":800,"updateTime":801,"relativeEntities":802,"slug":803,"properties":804,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"2134369c-9701-483a-81be-bf113871563f","2024-04-22T11:35:49.821+00:00","2024-10-08T09:27:24.036+00:00",[],"School-of-Civil-Engineering-Chongqing-University-Chongqing-China",{"title":805},{"EN":806},"School of Civil Engineering, Chongqing University, Chongqing, China",{},{"title":809},{"VI":810},"Qingshan Yang",{"id":812,"sortIndex":108,"researcher":20,"roles":813,"affiliations":814,"properties":823},"715a2ae3-b24e-409c-b3a5-53c9e15cc30b",[141],[815],{"id":20,"sortIndex":21,"affiliation":816,"properties":20},{"id":817,"createTime":818,"updateTime":818,"relativeEntities":819,"slug":20,"properties":820,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"dee41a0e-fa5e-48cf-8c94-d4534c3ee03a","2024-01-02T02:27:40.686+00:00",[],{"title":821},{"VI":822},"School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, Australia",{"title":824},{"VI":825},"Xinqun Zhu",{"id":827,"sortIndex":21,"researcher":20,"roles":828,"affiliations":829,"properties":854},"bf0231f9-5cad-4701-afe6-673455ae81a1",[141],[830,837,844],{"id":831,"sortIndex":108,"affiliation":832,"properties":836},"dfa936d2-9661-4ffb-a990-ae501014525e",{"id":790,"createTime":791,"updateTime":791,"relativeEntities":833,"slug":20,"properties":834,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":835},{"VI":795},{},{"id":838,"sortIndex":109,"affiliation":839,"properties":843},"7dd49b73-1395-4eab-b7ba-e32ba4156a92",{"id":817,"createTime":818,"updateTime":818,"relativeEntities":840,"slug":20,"properties":841,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":842},{"VI":822},{},{"id":20,"sortIndex":21,"affiliation":845,"properties":20},{"id":846,"createTime":847,"updateTime":848,"relativeEntities":849,"slug":850,"properties":851,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"0ae61993-0804-482b-a3d9-e81bb798f09e","2023-12-27T23:35:25.775+00:00","2025-06-11T23:47:36.905+00:00",[],"School-of-Civil-Engineering-Beijing-Jiaotong-University-Beijing-China",{"title":852},{"VI":853},"School of Civil Engineering, Beijing Jiaotong University, Beijing, China",{"title":855},{"VI":856},"Mengning Lyu",{"url":782,"publisher":858,"properties":886},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":859,"slug":10,"properties":860,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":864,"manageAffiliations":865,"indexDatabases":866,"url":104,"thumbnailPath":20,"statistic":881,"gsStatistic":20,"type":113,"analyzePriority":20},[],{"issn":861,"eissn":862,"title":863},{"VOID":13},{"VOID":15},{"EN":17},[],[],[867,874],{"id":66,"indexDatabase":868,"url":81,"indexYears":20,"academicFieldIds":873,"indexDatabaseRanking":20},{"id":68,"createTime":69,"updateTime":70,"relativeEntities":869,"label":870,"description":871,"key":77,"publicationTags":872,"standard":20},[],{"EN":73,"VI":73},{"VI":75,"EN":76},[79,80],[83],{"id":85,"indexDatabase":875,"url":98,"indexYears":99,"academicFieldIds":880,"indexDatabaseRanking":103},{"id":87,"createTime":88,"updateTime":89,"relativeEntities":876,"label":877,"description":878,"key":95,"publicationTags":879,"standard":20},[],{"EN":92,"VI":92},{"EN":92,"VI":94},[97],[101,102],{"impactFactor":21,"impactFactorByYear":882,"i10Index":21,"i10IndexLast5Year":21,"totalPublication":62,"totalPublicationByYear":883,"totalCitation":21,"totalCitationByYear":884,"totalCitationPerPublication":21,"totalCitationPerPublicationByYear":885,"hindexLast5Year":21,"hindex":21},{},{"2017":108,"2020":109,"2021":108,"2022":110},{},{},{"volume":887,"pages":889},{"VOID":888},"7",{"VOID":890},"505-516","2017-09-07",2017,{"id":894,"createTime":895,"updateTime":896,"relativeEntities":897,"slug":898,"properties":899,"entityType":133,"verifyStatus":134,"verifyTime":896,"verifyNote":135,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":908,"fullTextUrl":20,"authors":909,"publicationType":186,"publisherRelationship":937,"citationCount":20,"citationInfo":20,"publishDate":970,"publishYear":222,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":223},"fbe8f4fd-0b1f-4a82-945a-0a62fc6a706e","2024-01-05T03:25:00.339+00:00","2025-01-02T23:53:13.590+00:00",[],"Evaluation-of-static-and-dynamic-long-term-structural-monitoring-for-monumental-masonry-structure",{"references":900,"abstract":902,"title":904,"doi":906},{"VOID":901},"Bednarza ŁJ, Jasieńko J, Rutkowski M, Nowaka TP (2014) Strengthening and long-term monitoring of the structure of an historical church presbytery. Eng Struct 81:62–75. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.engstruct.2014.09.028\nMasciotta MG, Ramos LF, Lourenço PB (2017) The importance of structural monitoring as a diagnosis and control tool in the restoration process of heritage structures: a case study in Portugal. J Cultural Heritage 27:36-47. doi.org\u002F10.1016\u002Fj.culher.2017.04.003\nBoscato G, Dal Cin A (2017) Experimental and numerical evaluation of structural dynamic behavior of Rialto bridge in Venice. J Civil Struct Health Monit 7(4):557–572. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs13349-017-0242-7\nCeravolo R, De Marinis A, Pecorelli ML, Zanotti Fragonara L (2017) Monitoring of masonry historical constructions: 10 years of static monitoring of the world's largest oval dome. Struct Control Health Monit. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fstc.1988\nDal Cin A, Russo S (2016) Annex and rigid-box diaphgram effect in failure analysis of historic churches hit by earthquake. Eng Failure Anal 59:122–139\nBoscato G, Dal Cin A, Lentile S, Russo S (2016) Optimized procedures and strategies for the dynamic monitoring of historical structures. J Civil Struct Health Monit 6(2):265–289. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs13349-016-0164-9\nPodestà S, Riotto G, Marazzi F (2008) Reliability of dynamic identification techniques connected to structural monitoring of monumental buildings. Struct Control Health Monit 15(4):622–641. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fstc.219\nPau A, Vestroni F (2013) Vibration assessment and structural monitoring of the Basilica of Maxentius in Rome. Mech Syst Signal Process 41(1–2):454–466\nMesquita E, Arêde A, Silva R et al (2017) Structural health monitoring of the retrofitting process, characterization and reliability analysis of a masonry heritage construction. J Civil Struct Health Monit 7:405. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs13349-017-0232-9\nSaisi A, Gentile C, Ruccolo A (2016) Pre-diagnostic prompt investigation and static monitoring of a historic bell-tower. Constr Build Mater 122:833–844\nPotenza F, Federici F, Lepidi M et al (2015) Long-term structural monitoring of the damaged Basilica S Maria di Collemaggio through a low-cost wireless sensor network. J Civil Struct Health Monit 5:655. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs13349-015-0146-3\nWu H, Zonta D, Pozzi M, Zanon P, Corrà M (2010) Historic buildings: long term stability evaluation using wireless sensor networks. Adv Mater Res 133–134(2010):235–240. https:\u002F\u002Fdoi.org\u002F10.4028\u002Fwww.scientific.net\u002FAMR.133-134.235\nInaudi D, Glišiæ B (2008) Overview of fibre optic sensing applications to structural health monitoring. In: Proceedings of the symposium on geodesy for geotechnical and structural engineering, Lisbon\nLopez-Higuera JM, Rodriguez Cobo L, Quintela Incera A, Cobo A (2015) Fiber optic sensors in structural health monitoring. J Lightwave Technol. https:\u002F\u002Fdoi.org\u002F10.1109\u002FJLT.2011.2106479\nJoel Poling N, Desai G, Fischer G, Fischer CG (2018) Effect of out-of-plane specimen movement on strain measurement using digital-image-correlation-based video measurement in 2D and 3D. J Civil Struct Health Monit 8(5):1–22. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs13349-018-0277-4\nWinkler J, Duus Hansen M (2018) Innovative long-term monitoring of the great belt bridge expansion joint using digital image correlation. Struct Eng Int 28(1):1–6. https:\u002F\u002Fdoi.org\u002F10.1080\u002F10168664.2018.1461539\nMesas-Carrascosa FJ, Santano DV, Meroño de Larriva JE, Cordero RO, Fernández REH, García-Ferrer A (2016) Monitoring heritage buildings with open source hardware sensors: a case study of the Mosque-Cathedral of Córdoba. Sensors (Basel) 16(10):1620. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fs16101620\nMesquitaa E, Arêdea A, Pinto N, Antunesb P, Varum H (2018) Long-term monitoring of a damaged historic structure using a wireless sensor network. Eng Struct 161:108–117. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.engstruct.2018.02.013\nS. Russo (2013) On the monitoring of historic Anime Sante church damaged by earthquake in L’Aquila. Struct Control Health Monit 20(9):1226–1239. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fstc.1531\nDi Giulio G, Vassallo M, Boscato G, Dal Cin A, Russo S (2014) (2014) Seismic monitoring by piezoelectric accelerometers of a damaged historical monument in downtown L’Aquila. Ann Geophys 57(6):S0654. https:\u002F\u002Fdoi.org\u002F10.4401\u002Fag-6671\nBoscato G, Ceravolo R, Fragonara LZ, Russo S (2015) Global sensitivity-based model updating for heritage structure. Comput Aided Civil Infrastruct Eng 30(8):620–635\nDIANA (2010) DIANA user’s manual release 9.4.2. TNO, Delft\nVan der Auweraer H, Guillaume P, Verboven P, Vanlanduit S (2001) Application of a fast-stabilizing frequency domain parameter estimation method. ASME J Dyn Syst Meas Control 123(4):651–658\nLMS Test.Lab: Siemens PLM software. https:\u002F\u002Fwww.lmsintl.com",{"EN":903},"This paper presents the comparative results of the static and dynamic monitoring of damaged masonry macro-elements. The structural health monitoring (SHM) has been carried out over 3 years. The crack opening displacement of the main shear cracks of the overturning mechanisms of the façade, of the bottom walls of transept and the cracks of the arches was monitored using extensometers. Moreover, dynamic sensors for measuring accelerations were used and through the registration of each major seismic vibration event, a modal identification of output-only systems was carried out; the main frequencies were identified. This work highlights the structural damage detection methodology and shows the differences between global and local damage detection techniques. The static monitoring presents the displacement trend of each monitored main crack with its respective temperature–time history. The results of both long-term monitoring systems are compared to develop the reliability and the correlation of the static and dynamic parameters over 3 years. Static and dynamic monitoring are useful to check both the level of damage and the degradation of the cracking survey, to evaluate the interaction with the safety measures, and also to analyze the stability of signals by varying the intrinsic and environmental conditions such as temperature. This research reveals a good reliability between the static and dynamic results, particularly on the detection of the effect of a safety intervention. Moreover, the results highlight the limits and merits of each monitoring system.",{"EN":905},"Evaluation of static and dynamic long-term structural monitoring for monumental masonry structure",{"VOID":907},"10.1007\u002Fs13349-019-00324-z","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs13349-019-00324-z",[910,925],{"id":911,"sortIndex":108,"researcher":20,"roles":912,"affiliations":913,"properties":922},"60c34596-a789-4c81-b223-508becceef17",[141],[914],{"id":20,"sortIndex":21,"affiliation":915,"properties":20},{"id":916,"createTime":917,"updateTime":917,"relativeEntities":918,"slug":20,"properties":919,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"6396dbb4-32aa-4e36-9b0c-c6065b355f75","2024-01-05T03:25:00.386+00:00",[],{"title":920},{"VI":921},"Department of Design and Planning in Complex Environments, University IUAV of Venice, Venice, Italy",{"title":923},{"VI":924},"Salvatore Russo",{"id":926,"sortIndex":21,"researcher":20,"roles":927,"affiliations":928,"properties":934},"9eeab17e-5747-4629-bf8e-14e4f36ae897",[141],[929],{"id":20,"sortIndex":21,"affiliation":930,"properties":20},{"id":916,"createTime":917,"updateTime":917,"relativeEntities":931,"slug":20,"properties":932,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":933},{"VI":921},{"title":935},{"VI":936},"Alessandra Dal Cin",{"url":908,"publisher":938,"properties":966},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":939,"slug":10,"properties":940,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":944,"manageAffiliations":945,"indexDatabases":946,"url":104,"thumbnailPath":20,"statistic":961,"gsStatistic":20,"type":113,"analyzePriority":20},[],{"issn":941,"eissn":942,"title":943},{"VOID":13},{"VOID":15},{"EN":17},[],[],[947,954],{"id":66,"indexDatabase":948,"url":81,"indexYears":20,"academicFieldIds":953,"indexDatabaseRanking":20},{"id":68,"createTime":69,"updateTime":70,"relativeEntities":949,"label":950,"description":951,"key":77,"publicationTags":952,"standard":20},[],{"EN":73,"VI":73},{"VI":75,"EN":76},[79,80],[83],{"id":85,"indexDatabase":955,"url":98,"indexYears":99,"academicFieldIds":960,"indexDatabaseRanking":103},{"id":87,"createTime":88,"updateTime":89,"relativeEntities":956,"label":957,"description":958,"key":95,"publicationTags":959,"standard":20},[],{"EN":92,"VI":92},{"EN":92,"VI":94},[97],[101,102],{"impactFactor":21,"impactFactorByYear":962,"i10Index":21,"i10IndexLast5Year":21,"totalPublication":62,"totalPublicationByYear":963,"totalCitation":21,"totalCitationByYear":964,"totalCitationPerPublication":21,"totalCitationPerPublicationByYear":965,"hindexLast5Year":21,"hindex":21},{},{"2017":108,"2020":109,"2021":108,"2022":110},{},{},{"volume":967,"pages":968},{"VOID":218},{"VOID":969},"169-182","2019-02-04",{"id":972,"createTime":973,"updateTime":973,"relativeEntities":974,"slug":20,"properties":975,"entityType":133,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":984,"fullTextUrl":20,"authors":985,"publicationType":186,"publisherRelationship":1061,"citationCount":20,"citationInfo":20,"publishDate":1093,"publishYear":1094,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":223},"d3c2e4fd-2eee-48e0-b9cd-53aeba9500af","2024-02-18T23:43:52.439+00:00",[],{"references":976,"abstract":978,"title":980,"doi":982},{"VOID":977},"Volkmann GM, Schubert W (2007) Geotechnical model for pipe roof supports in tunneling. In Proc. of the 33rd ITA-AITES World Tunneling Congress, Underground Space–the 4th Dimension of Metropolises V0l. 1: 755–760. https:\u002F\u002Fdoi.org\u002F10.1201\u002FNOE0415408073.ch125\nOke J, Vlachopoulos N, Diederichs MS (2014) Numerical analyses in the design of umbrella arch systems. J Rock Mech Geotech Eng 6(6):546–564. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jrmge.2014.09.005\nHoek E (2001) Big tunnels in bad rock. J Geotech Geoenviron Eng 127(9):726–740. https:\u002F\u002Fdoi.org\u002F10.1061\u002F(ASCE)1090-0241(2001)127:9(726)\nOke J, Vlachopoulos N, Marinos V (2014) The pre-support nomenclature and support selection methodology for temporary support systems within weak rock masses. J Geotech Geol Eng 32(1):97–130. https:\u002F\u002Fdoi.org\u002F10.1201\u002Fb14769-91\nOcak I (2008) Control of surface settlements with umbrella arch method in second stage excavations of Istanbul Metro. Tunn Undergr Space Technol 23(6):674–681. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.tust.2007.12.005\nHarazaki I, Aono H, Matsuda A, Hakoishi Y (1998) Field observation of large tunnel supported by umbrella method: case of Maiko Tunnel in Kobe, Japan. In: Proceedings of the World Tunnel Congress 98:1009–1014\nZhang ZQ, Li HY, Liu HY, Li GJ, Shi XQ (2014) Load transferring mechanism of pipe umbrella support in shallow-buried tunnels. Tunn Undergr Space Technol 43:213–221. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.tust.2014.05.018\nSong KI, Cho GC, Chang SB, Lee IM (2013) Beam-spring structural analysis for the design of tunnel pre-reinforcement support system. Int J Rock Mech Min Sci 59(5):139–150. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijrmms.2012.12.017\nZhou SH (2005) The scaffolding principle of the pipe roof method in the construction of shallow burying and undercutting in soft ground. Chin J Rock Mech Eng 24(14):2565–2570. https:\u002F\u002Fdoi.org\u002F10.3321\u002Fj.issn:1000-6915.2005.14.026\nWu ZZ, Fu ZF, Wang J, Zhang SY (2005) Reinforcement mechanism and effect analysis of pipe roof grouting method in shallow-buried soft ground excavation. Chin J Rock Mech Eng 24(6):1025–1029. https:\u002F\u002Fdoi.org\u002F10.3321\u002Fj.issn:1000-6915.2005.06.022\nWu S, Tang H, Luo HX, Wu ZJ (2019) Research on advanced pipe roof support mechanism and engineering application of shallow soft rock highway tunnel. Chin J Rock Mech Eng 38(S1):3080–3091. https:\u002F\u002Fdoi.org\u002F10.13722\u002Fj.cnki.jrme.2018.1455\nSong ZP, Tian XX, Zhou GN, Li WW (2020) Theoretical analysis of mechanical behavior of advanced pre-support of pipe shed in tunnel. China J Highw Transport 33(4):89–98. https:\u002F\u002Fdoi.org\u002F10.19721\u002Fj.cnki.1001-7372.2020.04.009\nGeng DX, Shi YF, Yang JS, Yang F (2016) Study on the advance support force of long pipe shed in shallow large section tunnel. J Huazhong Univ Sci Technol (Natural Science Edition) 44(06):98–103. https:\u002F\u002Fdoi.org\u002F10.13245\u002Fj.hust.160618\nShin JH, Choi Y, Kwon OY, Lee SD (2008) Model testing for pipe-reinforced tunnel heading in a granular soil. Tunnelling and Underground Space 23(3):241–250. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.tust.2007.04.012\nLi AQ, Lv XH (2003) Construction method of long pipe shed. Western Explor Eng 15(12):80–81. https:\u002F\u002Fdoi.org\u002F10.3969\u002Fj.issn.1004-5716.2003.12.040\nJiang N (2018) Entry technology of shallow buried sandy new loess tunnel underneath the national highway with double-layer long pipe roof. Value Eng 37(15):155–156. https:\u002F\u002Fdoi.org\u002F10.14018\u002Fj.cnki.cn13-1085\u002Fn.2018.15.065\nSong LD (2016) The application of super-long and large pipe shed construction technology in loess tunnel. J Shijiazhuang Inst Railw Technol 15(01):51–55. https:\u002F\u002Fdoi.org\u002F10.3969\u002Fj.issn.1673-1816.2016.01.011\nZhao Y, Li GL, Yu Y (2011) Loess tunnel engineering. China Railway Press. Beijing, China\nXu XF, Jin C (2016) Application and effect analysis of large pipe shed in loess tunnel collapse treatment. Highway 61(12):284–290\nLi J, Tan ZS, Yu Y, Ni LS (2011) Research on construction procedure for shallow large-span tunnel undercrossing highway. Rock Soil Mech 32(09):2803–2809. https:\u002F\u002Fdoi.org\u002F10.3969\u002Fj.issn.1000-7598.2011.09.040\nLi J, Tan ZS, Yu Y, Ni LS (2011) Analysis of deformation monitoring and mechanical behaviors of big pipe-roof for shallow-buried large-span tunnel to underpass highway. Chin J Rock Mech Eng 30(S1):3002–3008. https:\u002F\u002Fdoi.org\u002F10.19782\u002Fj.cnki.1674-0610.2020.03.021\nWang HT, Jia JQ, Kang HG (2009) Analytical approach and field monitoring for mechanical behaviors of pipe roof reinforcement. J Cent South Univ Technol 16(05):827–834. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11771-009-0137-9\nZhang J, Gao FQ, Yang XL (2015) Deformation monitoring and mechanical analysis of advanced support for tunnel pipe shed. J Luoyang Inst Technol (Natural Science Edition) 25(02):10–12+21. https:\u002F\u002Fdoi.org\u002F10.3969\u002Fi.issn.1674-5403.2015.02.003\nLee B (2003) Review of the present status of optical fiber sensors. Opt Fiber Technol 9(2):57–79. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS1068-5200(02)00527-8\nLiu WQ, Wang HP, Zhou Z, Xing XY, Cao DD, Jiang Z (2015) Optical fiber-based sensors with flexible encapsulation for pavement behavior monitoring. Struct Control Health Monit 22(2):301–313. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fstc.1674\nWang X, Shi B, Wei GQ, Chen SE, Zhu HH, Wang T (2018) Monitoring the behavior of segment joints in a shield tunnel using distributed fiber optic sensors. Struct Control Health Monit 25(1):e2056. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fstc.2056\nPiao CD, Yuan J, Shi B, Lu HJ, Wei GQ (2015) Gu CS (2015) Application of distributed optical fiber sensing technology in the anomaly detection of shaft lining in grouting. J Sens 1:1–8. https:\u002F\u002Fdoi.org\u002F10.1155\u002F2015\u002F678634\nBursi OS, Tondini N, Fassin M, Bonelli A (2016) Structural monitoring for the cyclic behaviour of concrete tunnel lining sections using FBG sensors. Struct Control Health Monit 23(4):749–763. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fstc.1807\nLiu WQ, Zhou HM, Wang BS, Zhao YQ, Leng Z, Chen XJ, Li LH, Wang SJ, Chen ZG (2018) A subgrade cracking monitoring sensor based on optical fiber sensing technique. Struct Control Health Monit 25(9):e2213. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fstc.2213\nRao YJ (2006) Principle and application of fiber Bragg grating. Science Press. Beijing, China\nZhang WG (2017) Principle and application of fiber optics. Tsinghua University Press. Beijing, China\nLiu SC, Jiang DS, Hao YC (2006) Application and Research of load cell based FBG sensors. J Wuhan Univ Technol (Transportation Science and Engineering Edition) 30(2):209–211. https:\u002F\u002Fdoi.org\u002F10.3963\u002Fj.issn.2095-3844.2006.02.007",{"EN":979},"Pipe roofs are widely used as an effective proactive support measure in the construction of tunnel entrances, shallow-buried and underground excavated tunnels, underground stations, and large-section soft and weak soil structures. However, the stress variation characteristics of pipe roofs exceeding 40 m in length are not yet clear. This paper utilizes numerical simulation methods to conduct a comprehensive analysis of the deformation characteristics of three excavation methods: center cross-diaphragm method (CRD), both-side heading method, and the three-bench excavation method with super-long pipe roofs combined with temporary inverted arches. It specifically compares the deformation control effectiveness and stress variation patterns of pipe roofs of different lengths. The results indicate that the deformation control effectiveness of 40 m and 20 m long pipe roofs is inferior to that of super-long pipe roofs. Within a range of 30 m in front of the tunnel face and 20 m behind it, significant stress variations of the pipe roof are observed. The most influential range is within 10 m in front of the tunnel face and 5 m behind it. It is evident that the overall load-bearing capacity of the super-long pipe roof is higher than that of pipe roofs below 40 m. Furthermore, in this study, a novel approach is adopted by utilizing fiber optic grating testing technology to achieve comprehensive monitoring of the axial forces in super-long large pipe roofs. The measured data strongly corroborate the accuracy of the numerical calculations.",{"EN":981},"Evolution mechanism of axial force of super-long pipe roof",{"VOID":983},"10.1007\u002Fs13349-023-00729-x","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs13349-023-00729-x",[986,1001,1013,1025,1037,1049],{"id":987,"sortIndex":21,"researcher":20,"roles":988,"affiliations":989,"properties":998},"3a5e181e-6574-4b73-8910-e30560d5c9dd",[141],[990],{"id":20,"sortIndex":21,"affiliation":991,"properties":20},{"id":992,"createTime":993,"updateTime":993,"relativeEntities":994,"slug":20,"properties":995,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"a0beea1b-34be-4667-87f8-8a737500e560","2024-02-14T01:57:33.732+00:00",[],{"title":996},{"VI":997},"Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, School of Civil Engineering, Southwest Jiaotong University, Chengdu, China",{"title":999},{"VI":1000},"Jimeng Feng",{"id":1002,"sortIndex":108,"researcher":20,"roles":1003,"affiliations":1004,"properties":1010},"597382e1-bc42-478f-bf01-eaa7a0d32956",[141],[1005],{"id":20,"sortIndex":21,"affiliation":1006,"properties":20},{"id":992,"createTime":993,"updateTime":993,"relativeEntities":1007,"slug":20,"properties":1008,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1009},{"VI":997},{"title":1011},{"VI":1012},"Yumei Tan",{"id":1014,"sortIndex":110,"researcher":20,"roles":1015,"affiliations":1016,"properties":1022},"fd8600ce-defe-47fd-ac58-3e2ff4c826e6",[141],[1017],{"id":20,"sortIndex":21,"affiliation":1018,"properties":20},{"id":992,"createTime":993,"updateTime":993,"relativeEntities":1019,"slug":20,"properties":1020,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1021},{"VI":997},{"title":1023},{"VI":1024},"Kaimeng Ma",{"id":1026,"sortIndex":526,"researcher":20,"roles":1027,"affiliations":1028,"properties":1034},"de32e03c-38d5-4055-a3e8-fc455a8cb9d8",[141],[1029],{"id":20,"sortIndex":21,"affiliation":1030,"properties":20},{"id":992,"createTime":993,"updateTime":993,"relativeEntities":1031,"slug":20,"properties":1032,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1033},{"VI":997},{"title":1035},{"VI":1036},"Yi Dai",{"id":1038,"sortIndex":690,"researcher":20,"roles":1039,"affiliations":1040,"properties":1046},"6a842181-55f5-4d0d-ac2b-45be1342adb4",[141],[1041],{"id":20,"sortIndex":21,"affiliation":1042,"properties":20},{"id":992,"createTime":993,"updateTime":993,"relativeEntities":1043,"slug":20,"properties":1044,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1045},{"VI":997},{"title":1047},{"VI":1048},"Shiyu Yao",{"id":1050,"sortIndex":109,"researcher":20,"roles":1051,"affiliations":1052,"properties":1058},"be730382-c2cc-4a68-8d02-74f3b0eb8701",[141],[1053],{"id":20,"sortIndex":21,"affiliation":1054,"properties":20},{"id":992,"createTime":993,"updateTime":993,"relativeEntities":1055,"slug":20,"properties":1056,"entityType":49,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1057},{"VI":997},{"title":1059},{"VI":1060},"Junru Zhang",{"url":984,"publisher":1062,"properties":1090},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1063,"slug":10,"properties":1064,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":1068,"manageAffiliations":1069,"indexDatabases":1070,"url":104,"thumbnailPath":20,"statistic":1085,"gsStatistic":20,"type":113,"analyzePriority":20},[],{"issn":1065,"eissn":1066,"title":1067},{"VOID":13},{"VOID":15},{"EN":17},[],[],[1071,1078],{"id":66,"indexDatabase":1072,"url":81,"indexYears":20,"academicFieldIds":1077,"indexDatabaseRanking":20},{"id":68,"createTime":69,"updateTime":70,"relativeEntities":1073,"label":1074,"description":1075,"key":77,"publicationTags":1076,"standard":20},[],{"EN":73,"VI":73},{"VI":75,"EN":76},[79,80],[83],{"id":85,"indexDatabase":1079,"url":98,"indexYears":99,"academicFieldIds":1084,"indexDatabaseRanking":103},{"id":87,"createTime":88,"updateTime":89,"relativeEntities":1080,"label":1081,"description":1082,"key":95,"publicationTags":1083,"standard":20},[],{"EN":92,"VI":92},{"EN":92,"VI":94},[97],[101,102],{"impactFactor":21,"impactFactorByYear":1086,"i10Index":21,"i10IndexLast5Year":21,"totalPublication":62,"totalPublicationByYear":1087,"totalCitation":21,"totalCitationByYear":1088,"totalCitationPerPublication":21,"totalCitationPerPublicationByYear":1089,"hindexLast5Year":21,"hindex":21},{},{"2017":108,"2020":109,"2021":108,"2022":110},{},{},{"pages":1091},{"VOID":1092},"1-18","2024-02-14",2024,{"id":1096,"createTime":1097,"updateTime":1097,"relativeEntities":1098,"slug":20,"properties":1099,"entityType":133,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":1104,"fullTextUrl":20,"authors":1105,"publicationType":186,"publisherRelationship":1203,"citationCount":20,"citationInfo":20,"publishDate":1237,"publishYear":1238,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":223},"77f139a6-fe56-4d00-bb51-8dbbccb195c6","2024-01-05T23:43:34.978+00:00",[],{"title":1100,"doi":1102},{"EN":1101},"Erratum 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US Department of the Interior, National Park Service, Cultural Resource Stewardship and Partnerships, Heritage Preservation Services, Washington DC\nSwartz RA, Jung D, Lynch JP, Wang Y, Shi D, Flynn MP (2005) Design of a wireless sensor for scalable distribution in-network computation in a structural health monitoring system. In: Proceedings of the 5th International Workshop on Structural Health Monitoring, Stanford, CA\nCinque M, Cotroneo D, DeCaro G, Pelella, M (2006) Reliability requirements of wireless sensor networks for dynamic structural monitoring. In: Supplemental Volume of the International Conference on Dependable Systems and Networks (DSN), Philadelphia, PA\nXu N, Rangwala S, Chintalapudi KK, Ganesan D, Broad A, Govindan R, Estrin D (2004) A Wireless Sensor Network for Structural Monitoring. In: Proceedings of the ACM Conference on Embedded Networked Sensor Systems, SenSys’04, Baltimore, MD\nBastianini F, Sarvestani SS, Nanni A, Plessi V, Galati N (2007) An Autonomous Networked Wireless Device for Structural Health Monitoring. In: Proceedings of the 3rd International Conference on Structural Health Monitoring of Intelligent Infrastructure, Vancouver, British Columbia, Canada\nGlaser SD, Shoureshi RA, Pescovitz D (2005) Frontiers in sensors and sensing systems. Smart Struct Syst 1:103–120\nChen Y-M, Lin C-Y (2007) Dynamic Simulation of Wireless Structural Monitoring System Using Petri Nets. In: Proceedings of the 3rd International Conference on Structural Health Monitoring of Intelligent Infrastructure, Vancouver, British Columbia, Canada\nKijewski-Correa T, Haenggi M, Antsaklis P (2006) Multi-scale wireless sensor networks for structural health monitoring. In: Proceedings of the 17th Anal and Comput Spec Conf, University of Notre Dame, Notre Dame, IN\nTanner NA, Wait JR, Farrar CR, Sohn H (2003) Structural health monitor using modular wireless sensors. J Intell Mater Syst Struct 14:43–56\nReyer M, Mander JB, Hurlebaus S (2009) Design of a wireless sensor network for structural health monitoring of bridges. Mech Syst Signal Process (Under review)\nBischoff R, Feltrin G, Meyer J, Motavalli M (2007) Data Processing and Management Aspects of Wireless Sensor Networks for Structural Health Monitoring. In: Proceedings of the 3rd International Conference on Structural Health Monitoring of Intelligent Infrastructure, Vancouver, British Columbia, Canada\nLynch JP, Loh KJ (2006) A summary review of wireless sensors and sensor networks for structural health monitoring. Shock Vib Dig 38(2):91–128\nHurlebaus S, Gaul L (2006) Smart structure dynamics. Mech Syst Signal Process (Review paper) 20(2):255–281\nReinisch C, Kastner W, Neugschwandtner G, Granzer W (2007) Wireless Technologies in Home and Building Automation. In: Proceedings of the IEEE Int Conf on Ind Inform, Vienna, Austria\nReyer M (2007) Design of a wireless sensor network for structural health monitoring of bridges. M.S. thesis, Texas A&M University, College Station, TX\nAnalog Devices (2000) Low-Cost ±2g Dual-Axis Accelerometer with Duty Cycle Output. http:\u002F\u002Fwww.analog.com. Accessed 10 Oct 2008\nBryson LS, Barnes A, Lutz T (2009) Deformation obtained from acceleration data using wireless sensor motes. In: Proceedings of the 4th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-4), Zurich, Switzerland",{"EN":1249},"The preservation of the history of the United States through its significant buildings is critical; however, this initiative is currently threatened due to the modernization of the nation’s infrastructure. If a fast and cost-effective way to monitor the condition of a historic structure existed, many more structures could be rehabilitated for modern uses while preserving the important historic content. Widely accessible wireless sensor network (WSN) technology could be a great asset to the preservation of historic structures in the future. The main objectives of this work are to develop a reliable WSN that is tailored for use in historic structures, and to implement the system in a structure undergoing rehabilitation. The structure considered is an historic wooden church in which the foundation requires replacement. Sensors will monitor tilt of the church’s walls throughout construction. During the construction process, the entire floor of the church is removed and the tree stump foundations are replaced by concrete masonry unit (CMU) blocks and steel pedestals. The tilt in the walls is correlated to the construction process. 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