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This study is probably the first attempt to investigate the factors that contribute to driver injury severity patterns. Fatal injury crash data from 2015 to 2017 for the city of Mersin was used. A two-step approach was employed. First, latent class clustering was performed to capture unobserved heterogeneity inherent in the crash data. The crash database was separated into four clusters by maximizing the homogeneity within each cluster. Then, an ordered probit model was developed on each cluster to explore the factors that significantly affect the driver injury outcomes. Marginal effects were calculated to interpret the influence of significant variables across the injury levels in more detail. The presence of motorcycles, fixed objects, and run-off-road crashes were found to be the main factors associated with injury and fatality in all clusters. The results underlined the association between driving behavior and injury severity of drivers. Alcohol-impaired driving, speeding, and traffic sign\u002Fsignal violations increase the likelihood of severe injury.",{"EN":187,"VI":188},"Exploring Driver Injury Severity Using Latent Class Ordered Probit Model: A Case Study of Turkey","Khám phá mức độ nghiêm trọng chấn thương của người lái xe bằng mô hình Probit thứ bậc lớp ẩn: Một nghiên cứu trường hợp tại Thổ Nhĩ Kỳ",{"VOID":190},"Abay KA, Paleti R, Bhat CR (2013) The joint analysis of injury severity of drivers in two-vehicle crashes accommodating seat belt use endogeneity. Transportation Research Part B: Methodological 50:74–89, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.trb.2013.01.007\nAlbuquerque FDBD, Awadalla DM (2020) Roadside fixed-object collisions, barrier performance, and fatal injuries in single-vehicle, run-off-road crashes. Safety 6(2):27, DOI: https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsafety6020027\nAwadzi KD, Classen S, Hall A, Duncan RP, Garvan CW (2008) Predictors of injury among younger and older adults in fatal motor vehicle crashes. Accident Analysis & Prevention 40(6):1804–1810, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aap.2008.07.010\nBehnood A, Mannering FL (2015) The temporal stability of factors affecting driver-injury severities in single-vehicle crashes: Some empirical evidence. Analytic Methods in Accident Research 8:7–32, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.amar.2015.08.001\nBehnood A, Mannering FL (2017) The effects of drug and alcohol consumption on driver injury severities in single-vehicle crashes. Traffic Injury Prevention 18(5):456–462, DOI: https:\u002F\u002Fdoi.org\u002F10.1080\u002F15389588.2016.1262540\nCelik AK, Oktay E (2014) A multinomial logit analysis of risk factors influencing road traffic injury severities in the Erzurum and Kars Provinces of Turkey. Accident Analysis & Prevention 72:66–77, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aap.2014.06.010\nChang LY, Chien JT (2013) Analysis of driver injury severity in truck-involved accidents using a non-parametric classification tree model. Safety Science 51(1):17–22, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ssci.2012.06.017\nChen C, Zhang G, Huang H, Wang J, Tarefder RA (2016) Examining driver injury severity outcomes in rural non-interstate roadway crashes using a hierarchical ordered logit model. Accident Analysis & Prevention 96:79–87, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aap.2016.06.015\nChen C, Zhang G, Tareffder R, Ma J, Wei H, Guan H (2015) A multinomial logit model-Bayesian network hybrid approach for driver injury severity analyses in rear-end crashes. Accident Analysis & Prevention 80:76–88, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aap.2015.03.036\nde Ona J, López G Mujalli R, Calvo FJ (2013) Analysis of traffic accidents on rural highways using latent class clustering and Bayesian networks. Accident Analysis & Prevention 51:1–10, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aap.2012.10.016\nDuddu VR, Kukkapalli VM, Pulugurtha SS (2019) Crash risk factors associated with injury severity of teen drivers, IATSS Research 43(1):37–43, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.iatssr.2018.08.003\nEC (2021) Road safety in the EU. European Commission (EC), Retrieved August 5, 2022, https:\u002F\u002Froad-safety.transport.ec.europa.eu\u002Findex_en\nEisenberg D, Warner K (2005) Effects of snowfalls on motor vehicle collisions, injuries, and fatalities. American Journal of Public Health 95(1):120–124, DOI: https:\u002F\u002Fdoi.org\u002F10.2105\u002FAJPH.2004.048926\nGray RC, Quddus MA, Evans A (2008) Injury severity analysis of accidents involving young male drivers in Great Britain. Journal of Safety Research 39(5):483–495, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jsr.2008.07.003\nHair JF, Anderson RE, Tatham RL, Black WC (1998) Multivariate data analysis. Englewood Cliff, NJ, USA 5(3):207–2019\nHou Q, Huo X, Leng J, Cheng Y (2019) Examination of driver injury severity in freeway single-vehicle crashes using a mixed logit model with heterogeneity-in-means. Physica A: Statistical Mechanics and its Applications 531:121760, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.physa.2019.121760\nJiang X, Huang B, Yan X, Zaretzki RL, Richards S (2013) Two-vehicle injury severity models based on integration of pavement management and traffic engineering factors. Traffic Injury Prevention 14:544–553, DOI: https:\u002F\u002Fdoi.org\u002F10.1080\u002F15389588.2012.731547\nKadilar GO (2016) Effect of driver, roadway, collision, and vehicle characteristics on crash severity: A conditional logistic regression approach. International Journal of Injury Control and Safety Promotion 23(2):135–144, DOI: https:\u002F\u002Fdoi.org\u002F10.1080\u002F17457300.2014.942323\nKatanalp BY, Eren E (2020) The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms. Accident Analysis & Prevention 144:105590, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aap.2020.105590\nKaygisiz Ö, Senbil M, Yildiz A (2017). Influence of urban built environment on traffic accidents: The case of Eskisehir (Turkey). Case Studies on Transport Policy 5(2):306–313, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.cstp.2017.02.002\nKhorashadi A, Niemeier D, Shankar V, Mannering F (2005) Differences in rural and urban driver-injury severities in accidents involving large-trucks: An exploratory analysis, Accident Analysis & Prevention 37(5):910–921, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aap.2005.04.009\nKim JK, Ulffarsson GF, Kim S, Shankar VN (2013) Driver-injury severity in single-vehicle crashes in California: A mixed logit analysis of heterogeneity due to age and gender. Accident Analysis & Prevention 50:1073–1081, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aap.2012.08.011\nLanza ST, Rhoades BL (2013) Latent class analysis: An alternative perspective on subgroup analysis in prevention and treatment. Prevention Science 14(2):157–168, DOI: https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11121-011-0201-1\nLee C, Li X (2014) Analysis of injury severity of drivers involved in single-and two-vehicle crashes on highways in Ontario. Accident Analysis & Prevention 71:286–295, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aap.2014.06.008\nLi Y, Fan W (2019) Modelling the severity of pedestrian injury in pedestrian-vehicle crashes in North Carolina: A partial proportional odds logit model approach. Journal of Transportation Safety & Security 12(3):358–37, DOI: https:\u002F\u002Fdoi.org\u002F10.1080\u002F19439962.2018.1483989\nLi J, Fang S, Guo J, Fu T, Qiu M (2021) A motorcyclist-injury severity analysis: A comparison of single-, two-, and multi-vehicle crashes using latent class ordered probit model. Accident Analysis & Prevention 151:105953, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aap.2020.105953\nLi Z, Wu Q, Ci Y, Chen C, Chen X, Zhang G (2019) Using latent class analysis and mixed logit model to explore risk factors on driver injury severity in single-vehicle crashes. Accident Analysis & Prevention 129:230–240, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aap.2019.04.001\nMannering FL, Bhat CR (2014) Analytic methods in accident research: Methodological frontier and future directions. Analytic Methods in Accident Research 1:1–22, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.amar.2013.09.001\nMI (2022) Safe Traffic. The Republic of Turkey Ministry of Interior (MI), Retrieved August 1, 2022, https:\u002F\u002Fen.guvenlitrafik.gov.tr\nOzen M (2020) Dört kollu sinyalize kentsel kavşaklarda trafk kazalarinin sıklığını etkileyen faktörlerin incelenmesi. Technical Journal of Turkish Chamber of Civil Engineers 31(3):10033–10053, DOI: https:\u002F\u002Fdoi.org\u002F10.18400\u002Ftekderg.509128\nOzen M (2021) Yaya kazalarının yaralanma şiddetinin incelenmesi: İkili lojistik regresyon modeli uygulaması. Technical Journal of Turkish Chamber of Civil Engineers 32(3):10859–10883, DOI: https:\u002F\u002Fdoi.org\u002F10.18400\u002Ftekderg.670811\nPaleti R, Eluru N, Bhat CR (2010) Examining the influence of aggressive driving behavior on driver injury severity in traffic crashes. Accident Analysis & Prevention 42(6):1839–1854, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aap.2010.05.005\nSavolainen P, Mannering FL (2007) Probabilistic models of motorcyclists’ injury severities in single-and multi-vehicle crashes. Accident Analysis & Prevention 39(5):955–963, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aap.2006.12.016\nSavolainen PT, Mannering FL, Lord D, Quddus MA (2011) The statistical analysis of highway crash-injury severities: A review and assessment of methodological alternatives. Accident Analysis & Prevention 43(5): 1666–1676, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aap.2011.03.025\nSchneider WH, Savolainen PT, Zimmerman, K (2009) Driver injury severity resulting from single-vehicle crashes along horizontal curves on rural two-lane highways. Transportation Research Record 2102(1): 85–92, DOI: https:\u002F\u002Fdoi.org\u002F10.3141\u002F2102-11\nShaheed MS, Gkritza K (2014) A latent class analysis of single-vehicle motorcycle crash severity outcomes. 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Transportation Research Record: Journal of the Transportation Research Board 2432:17–25, DOI: https:\u002F\u002Fdoi.org\u002F10.3141\u002F2432-03\nWard H, Shepherd N, Robertson S, Thomas M (2005) Night-time accidents: A scoping study. Report to the AA Motoring Trust and Rees Jeffreys Road Fund. London, UK\nWu Q, Chen F, Zhang G, Liu XC, Wang H, Bogus SM (2014) Mixed logit model-based driver injury severity investigations in single-and multi-vehicle crashes on rural two-lane highways. Accident Analysis & Prevention 72:105–115, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aap.2014.06.014\nWu Q, Zhang G, Zhu X, Liu XC, Tarefder R (2016) Analysis of driver injury severity in single-vehicle crashes on rural and urban roadways. Accident Analysis & Prevention 94:35–45, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aap.2016.03.026\nXie Y, Zhang Y, Liang F (2009) Crash injury severity analysis using bayesian ordered probit models. Journal of Transportation Engineering 135(1):18–25, DOI: https:\u002F\u002Fdoi.org\u002F10.1061\u002F(ASCE)0733-947X(2009)35:1(18)\nXie Y, Zhao K, Huynh N (2012) Analysis of driver injury severity in rural single-vehicle crashes. Accident Analysis & Prevention 47:36–44, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aap.2011.12.012\nYasmin S, Eluru N, Bhat CR, Tay R (2014) A latent segmentation based generalized ordered logit model to examine factors influencing driver injury severity. Analytic Methods in Accident Research 1:23–38, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.amar.2013.10.002\nZorlu, F (2021) How local street networks contribute to the traffic accident occurrence: Mersin city case. Journal of Design for Resilience in Architecture and Planning 2(3):280–294, DOI: https:\u002F\u002Fdoi.org\u002F10.47818\u002FDRArch.2021.v2i3025",{"VOID":192},"10.1007\u002Fs12205-023-0473-6","PUBLICATION","VERIFIED","2024-12-28T13:34:00.342+00:00","Auto Verify",[198],"VI","https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs12205-023-0473-6",[201,217],{"id":202,"sortIndex":21,"researcher":20,"roles":203,"affiliations":205,"properties":214,"displayName":216,"givenName":20,"familyName":20},"a98fad69-eacd-4de0-b4ae-9e2d894dc581",[204],"AUTHOR",[206],{"id":207,"sortIndex":21,"affiliation":208,"properties":20},"3253deb7-547b-404f-aba0-ba28296874bb",{"id":207,"createTime":20,"updateTime":20,"relativeEntities":209,"slug":20,"properties":210,"entityType":20,"verifyStatus":20,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":20,"url":20,"parentIds":213,"statistic":20},[],{"title":211},{"VI":212},"Dept. of Civil Engineering, Yıldız Technical University, Istanbul, Turkey",[],{"title":215},{"VI":216},"Nihat Can Karabulut",{"id":218,"sortIndex":145,"researcher":20,"roles":219,"affiliations":220,"properties":229,"displayName":231,"givenName":20,"familyName":20},"450ba069-115a-4457-a0cc-3ec54c84a128",[204],[221],{"id":222,"sortIndex":21,"affiliation":223,"properties":20},"8178a20a-9405-4376-9cdb-043a23f00da6",{"id":222,"createTime":20,"updateTime":20,"relativeEntities":224,"slug":20,"properties":225,"entityType":20,"verifyStatus":20,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":20,"url":20,"parentIds":228,"statistic":20},[],{"title":226},{"VI":227},"Dept. of Civil Engineering, Mersin University, Mersin, Turkey",[],{"title":230},{"VI":231},"Murat 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can be defined as the effect of uncertainty on the achievement of objectives. All organizations are exposed to risk and uncertainty, and organized risk management is highly regarded in the construction industry. The Generic Risk Maturity Model (GRMM) is a tool for evaluating and identifying the current level, weaknesses, strengths, and areas that need improvement in construction companies. The purpose of this study is to diagnose and analyze domestic construction companies’ risk management maturity and status using the GRMM and to suggest areas for improvement. In this research, domestic construction companies were analyzed using GRMM by targeting 25 companies that ranked in the top 100 in terms of the 2019 South Korean construction evaluation. An online survey was conducted through e-mail and a total of 131 responses from 18 construction companies were collected and analyzed. As a result, the average maturity score (MS) of domestic construction companies was 5.6 but ambition score (AS) became 7.9 points. As a result of evaluating the risk system and execution level, the risk system (RS) score was 6.0, which was higher than the risk execution (RE) score of 5.3, indicating that the risk execution power was lower than that of the risk system. Therefore, in order to improve the level of risk management of Korean construction companies, it is necessary to improve the ability to execute risk management.",{"EN":295},"Risk Management Application-Level Analysis in South Korea Construction Companies Using a Generic Risk Maturity Model",{"VOID":297},"[]",{"VOID":299},"Adeleke AQ, Nasidi Y, Bamgbade JA (2016) Assessing the extent of effective construction risk management in nigerian construction companies. Journal of Advanced Research in Business and Management Studies 3(1):1–10\nBatenburg R, Neppelenbroek M, Shahim A (2014) A maturity model for governance, RM and compliance in hospitals. Journal of Hospital Administration 3(4):43, DOI: https:\u002F\u002Fdoi.org\u002F10.5430\u002Fjha.v3n4p43\nBhosale AS, Ravi K, Patil S (2017) A conceptual model of RM maturity for road construction project. International Journal of Research and Scientific Innovation (IJRSI) IV(IX)\nCaiado RGG, Lima GBA, Nascimento DLdM, Vieira Neto J, De Oliveira RAM (2016) Guidelines to risk management maturity in construction projects. Brazilian Journal of Operations and Production Management 13(3):372, DOI: https:\u002F\u002Fdoi.org\u002F10.14488\u002FBJOPM.2016.v13.n3.a14\nCarcary M (2013) IT risk management: A capability maturity model perspective. Electronic Journal of Information Systems Evaluation 16(1):3–13\nChoudhry RM, Iqbal K (2013) Identification of risk management system in construction industry in Pakistan. Journal of Management in Engineering 29(1):42–49, DOI: https:\u002F\u002Fdoi.org\u002F10.1061\u002F(asce)me.1943-5479.0000122\nElmaallam M, Kriouile A (2012) Model ISR3M for assessing maturity of IS risk management process: Case study. 2012 colloquium in information science and technology, October 22–24, Fez, Morocco\nHoseini E, Hertogh M, Bosch-Rekveldt MB (2019) Developing a generic risk maturity model (GRMM) for evaluating risk management in construction projects. Journal of Risk Research 1–20, DOI: https:\u002F\u002Fdoi.org\u002F10.1080\u002F13669877.2019.1646309\nHwang BG, Zhao X, Toh LP (2014) Risk management in small construction projects in Singapore: Status, barriers and impact. International Journal of Project Management 32(1):116–124, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijproman.2013.01.007\nIqbal S, Choudhry RM, Holschemacher K, Ali A, Tamošaitienė J (2015) Risk management in construction projects. Technological and Economic Development of Economy 21(1):65–78\nJia G, Ni X, Chen Z, Hong B, Chen Y, Yang F, Lin C (2013) Measuring the maturity of risk management in large-scale construction projects. Automation in Construction 34:56–66, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.autcon.2012.10.015\nKrasuski A (2014) A framework for dynamic analytical risk management at the emergency scene. From tribal to top down in the risk management maturity model. 2014 federated conference on computer science and information systems, September 7–10, Warsaw, Poland, DOI: https:\u002F\u002Fdoi.org\u002F10.15439\u002F2014F371\nLyons T, Skitmore M (2004) Project risk management in the Queensland engineering construction industry: A survey. International Journal of Project Management 22(1):51–61, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fs0263-7863(03)00005-x\nOliva FL (2016) A maturity model for enterprise risk management. International Journal of Production Economics 173:66–79, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijpe.2015.12.007\nProenca D, Estevens J, Vieira R, Borbinha J (2017) Risk management: A maturity model based on ISO 31000. 2017 IEEE 19th conference on business informatics (CBI), July 24–27, Thessaloniki, Greece\nSerpella A, Ferradab X, Rubioa L, Arauzo S (2015) Evaluating risk management practices in construction organizations. Procedia — Social and Behavioral Sciences 194:201–210, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.sbspro.2015.06.135\nShah L, Siadat A, Vernadat F (2009) Maturity assessment in risk management in manufacturing engineering. 2009 3rd annual IEEE systems conference, March 23–26, Vancouver, BC, Canada\nUnger CJ, Lechner AM, Kenway J, Glenn V, Walton A (2015) A jurisdictional maturity model for risk management, accountability and continual improvement of abandoned mine remediation programs. Resources Policy 43:1–10, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.resourpol.2014.10.008\nWahlgren G, Kowalski S (2014) Evaluation of escalation maturity model for IT security risk management: A design science work in progress. Proceeding of 2014 IFIP 8.11\u002F11.13 Dewald Roode information security research workshop, Newcastle upon Tyne, UK\nXianbo Z, Gang HB, Pheng LS (2012) Implementing enterprise risk management in a Chinese construction firm based in Singapore. WProceedings of the world construction conference 2012: Global challenges in construction industry, June 28–30, Colombo, Sri Lanka\nYeo KT, Ren Y (2009) Risk management capability maturity model for complex product systems (CoPS) projects. 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straw can be used in the production of energy or organic fertilizer. However, one of the main problems in the transformation of rice straw is its low-biodegradability. This study reports a comparison on the effectiveness of the Sodium Hydroxide (NaOH) and Potassium Hydroxide (KOH) pre-treatment methods on the enhancement of rice straw solubilization to increase its biodegradability. Laboratory-scale experiments were carried out in reflux completely mixed reactors of 500 mL capacity. The Response Surface Method (RSM) was used to optimize experimental conditions. The respective optimum conditions determined from RSM for NaOH and KOH were as follows: concentration of 29.99 and 30 g\u002FL, reaction time of 165.7 and 151.23 min, and temperature of 164.37 and 200°C. The actual and predicted results are clearly indicated that the solubility of rice straw is significantly increased under NaOH pretreatment in comparison with KOH. The actual results of solubility of rice straw under optimum conditions are compared well with the maximum predicted values.",{"EN":396},"Evaluation of significant parameters on alkaline pretreatment process of rice 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M. T., Horiuchi, T., and Oba, S. (2004). “Composting of rice straw with oilseed rape cake and poultry manure and its effects on faba bean (Vicia faba L.) growth and soil properties.” Bioresour. Technol., Vol. 93, No. 2, pp. 183–189.","https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs10440-022-00541-7",{"doi":527},"10.1007\u002Fs10440-022-00541-7",{"id":523,"text":529,"url":525,"identifiers":530},"Ahmadi, M., Vahabzadeh, F., Bonakdarpour, B., Mofarrah, E., and Mehranian, M. (2005). “Application of the central composite design and response surface methodology to the advanced treatment of olive oil processing wastewater using Fenton’s peroxidation.” J. of Hazard. Mater., Vol.123, Nos. 1–3, pp. 187–195.",{"doi":527},{"id":532,"text":533,"url":534,"identifiers":535},"236a95dd-1f4b-4b64-b77e-d690b4517fe1","Alvira, P., Tomás-Pejó, E., Ballesteros, M., and Negro, M. J. (2010). “Pretreatment technologies for an efficient bioethanol production process based on enzymatic hydrolysis: A review.” Bioresour. Technol., Vol. 101, No. 13, pp. 4851–4861.","https:\u002F\u002Flinkinghub.elsevier.com\u002Fretrieve\u002Fpii\u002FS0960852409015983",{"doi":536},"10.1016\u002Fj.biortech.2009.11.093",{"id":538,"text":539,"url":540,"identifiers":541},"d9e0c898-39cb-426c-9205-70d245a24ce6","Aziz, S. Q., Aziz, H. A., Yusoff, M. S., and Bashir, M. J. K. (2009). “Landfill leachate treatment using powdered activated carbon augmented Sequencing Batch Reactor (SBR) process: Optimization by response surface methodology.” J. of Hazard. Mater., Vol. 189, Nos. 1–2, pp. 404–413.","https:\u002F\u002Flinkinghub.elsevier.com\u002Fretrieve\u002Fpii\u002FS0304389411002536",{"doi":542},"10.1016\u002Fj.jhazmat.2011.02.052",{"id":523,"text":544,"url":525,"identifiers":545},"Chandra, R. P., Bura, R., Mabee, W. E., Berlin, A., Pan, X., Saddler, J. N. (2007). “Substrate pretreatment: The key to effective enzymatic hydrolysis of lignocellulosics?.” Biofuels, Springer Berlin\u002FHeidelberg. pp. 67–93.",{"doi":527},{"id":523,"text":547,"url":525,"identifiers":548},"Fernandes, T. V., Klaasse Bos, G. J., Zeeman, G., Sanders, J. P. M., and Van Lier, J. B. (2009). “Effects of thermo-chemical pre-treatment on anaerobic biodegradability and hydrolysis of lignocellulosic biomass.” Bioresource Technology, Vol. 100, No. 9, pp. 2575–2579.",{"doi":527},{"id":523,"text":550,"url":525,"identifiers":551},"Ghafari, S., Aziz, H. A., Isa, M. H., and Zinatizadeh, A. A. (2009). “Application of Response Surface Methodology (RSM) to optimize coagulation-flocculation treatment of leachate using Poly-Aluminum Chloride (PAC) and alum.” J. of Hazard. Mater., Vol. 163, Nos. 2–3, pp. 650–656.",{"doi":527},{"id":20,"text":553,"url":20,"identifiers":554},"Godliving, M. Y. S. (2009). “Review of Recent advances in pretreatment of lignocellulosic wastes and production of value added products.” Afr. J. of Biotechnol., Vol. 8, No. 8, pp. 1398–1415.",{},{"id":556,"text":557,"url":558,"identifiers":559},"0c8f317a-cd05-4717-88af-4e85ec50362e","Goyal, S., Dhull, S. K., and Kapoor, K. K., (2005). “Chemical and biological changes during composting of different organic wastes and assessment of compost maturity.” Bioresour. Technol., Vol. 96, No. 14, pp. 1584–1591.","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0960852405000209",{"doi":560},"10.1016\u002Fj.biortech.2004.12.012",{"id":562,"text":563,"url":564,"identifiers":565},"a5d9275c-25b3-4ef1-961a-09c22fddaa48","Jo, M. S., Rene, E. R., Kim, S. H., and Park, H. S. (2008). “An analysis of synergistic and antagonistic behavior during BTEX removal in batch system using response surface methodology.” J. of Hazard. Mater., Vol. 152, No. 3, pp. 1276–1284.","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0304389407011600",{"doi":566},"10.1016\u002Fj.jhazmat.2007.08.002",{"id":523,"text":568,"url":525,"identifiers":569},"Kim, S. and Dale, B. E. (2004). “Global potential bioethanol production from wasted crops and crop residues.” Biomass and Bioenergy, Vol. 26, No. 4, pp. 361–375.",{"doi":527},{"id":571,"text":572,"url":573,"identifiers":574},"337a778e-2209-4540-a50d-438a8cf672f4","Ko, J. K., Bak, J. S., Jung, M. W., Lee, H. J., Choi, I.-G., Kim, T. H., and Kim, K. H. (2009). “Ethanol production from rice straw using optimized aqueous-ammonia soaking pretreatment and simultaneous saccharification and fermentation processes.” Bioresour. Technol., Vol. 100, No. 19, pp. 4374–4380.","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0960852409003915",{"doi":575},"10.1016\u002Fj.biortech.2009.04.026",{"id":523,"text":577,"url":525,"identifiers":578},"Kumar, R. N., Kong, W. C., and Abubakar, A. (1999). “UV radiation curing of surface coatings based on ENR-cycloaliphatic diepoxideglycidyl methacrylate system by cationic photoinitiators-optimization of process variables through response surface methodology.” J. of Coat. Technol., Vol. 71, No. 896, pp. 79–88.",{"doi":527},{"id":580,"text":581,"url":582,"identifiers":583},"61ceb60d-6f06-4f42-ac23-0a88ba7732c8","López Torres, M. and Ma. del C. Espinosa, L. N. (2008). “Effect of alkaline pretreatment on anaerobic digestion of solid wastes.” Waste Manag., Vol. 28, No. 11, pp. 2229–2234.","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0956053X07003741",{"doi":584},"10.1016\u002Fj.wasman.2007.10.006",{"id":523,"text":586,"url":525,"identifiers":587},"Nocedal, J. and Wright, S. J. (2006). Numerical optimization (springer series in operations research and financial engineering), Second ed., Springer.",{"doi":527},{"id":523,"text":589,"url":525,"identifiers":590},"Paola Castaldi, G. G. and Pietro Melis (2008). “Maturity assessment of compost from municipal solid waste through the study of enzyme activities and water-soluble fractions.” Waste Manag., Vol. 28, No. 3, pp. 534–540.",{"doi":527},{"id":592,"text":593,"url":594,"identifiers":595},"4378a26d-102b-4af0-a775-8b4fa3c52908","Rashad, F. M., Saleh, W. D., and Moselhy, M. A. (2010). “Bioconversion of rice straw and certain agro-industrial wastes to amendments for organic farming systems: 1. Composting, quality, stability and maturity indices.” Bioresour. Technol., Vol. 101, No. 15, pp. 5952–5960.","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0960852410004499",{"doi":596},"10.1016\u002Fj.biortech.2010.02.103",{"id":523,"text":598,"url":525,"identifiers":599},"Ravikumar, K., Pakshirajan, K., Swaminathan, T., and Balu, K. (2005). “Optimization of batch process parameters using response surface methodology for dye removal by a novel adsorbent.” Chem. Eng. J., Vol. 105, No. 3, pp. 131–138.",{"doi":527},{"id":523,"text":601,"url":525,"identifiers":602},"Sun, R. C., Tomkinson, J., Ma, P. L., and Liang, S. F. (2000). “Comparative study of hemicelluloses from rice straw by alkali and hydrogen peroxide treatments.” Carbohydrate Polymers, Vol. 42, No. 2, pp. 111–122.",{"doi":527},{"id":523,"text":604,"url":525,"identifiers":605},"Sylla, Y. B. and Kuroda, M. (2006). “Feasibility study of a passive aeration reactor equipped with vertical pipes for compost stabilization of cow manure.” Waste Manage Res., Vol. 24, No. 5, pp. 456–464.",{"doi":527},{"id":20,"text":607,"url":20,"identifiers":608},"Tarkow, H. and Feist, C. W. (1969). A Mechanism for improving the digestibility of lignocellulosic materials with dilute alkali and liquid ammonia, in cellulases and their applications, American Chemical Society, Vol. 95, pp. 197–218.",{},{"id":580,"text":610,"url":582,"identifiers":611},"Torres, L. P. and Espinosa, L. N. (2008). “Effect of alkaline pretreatment on anaerobic digestion of solid wastes.” Waste Management, Vol. 28, No. 11, pp. 2229–2234.",{"doi":584},{"id":523,"text":613,"url":525,"identifiers":614},"Yamada, Y. and Kawase, Y. (2006). “Aerobic composting of waste activated sludge: Kinetic analysis for microbiological reaction and oxygen consumption.” Waste Manag., Vol. 26, No. 1, pp. 49–61.",{"doi":527},{"id":523,"text":616,"url":525,"identifiers":617},"Yunqin, L., Dehan, W., Shaoquan, W., and Chunmin, W. (2009). “Alkali pretreatment enhances biogas production in the anaerobic digestion of pulp and paper sludge.” J. of Hazard. Mater., Vol. 170, No. 1, pp. 366–373.",{"doi":527},{"id":523,"text":619,"url":525,"identifiers":620},"Zhang, Y.-H., Cui, J.-B., Lynd, L., and Kuang, L. (2006). “A transition from cellulose swelling to cellulose dissolution by o-phosphoric acid: Evidences from enzymatic hydrolysis and supramolecular structure.” Biomacromolecules, Vol. 7, No. 2, pp. 644–648.",{"doi":527},{"id":622,"createTime":623,"updateTime":624,"relativeEntities":625,"slug":626,"properties":627,"entityType":193,"verifyStatus":194,"verifyTime":638,"verifyNote":196,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":639,"fullTextUrl":20,"authors":640,"publicationType":232,"publisherRelationship":673,"citationCount":21,"citationInfo":721,"publishDate":724,"publishYear":722,"citationAnalyzeStatus":518,"lastCitationAnalyze":725,"indexDatabases":726,"openAccess":20,"references":20,"isForceReanalyzing":284},"fdcd5df3-467b-4504-80e2-45eadbe1610b","2023-12-07T07:24:43.524+00:00","2026-08-14T12:48:48.040+00:00",[],"Analysis-of-E-bike-Trip-Duration-and-Frequency-by-Bayesian-Duration-and-Zero-inflated-Count-Models",{"abstract":628,"title":630,"gsPaper":632,"references":634,"doi":636},{"EN":629},"E-bike trip duration and frequency are two essential variables to identify factors affecting e-bike travel demand. This study aimed to investigate the factors affecting e-bike trip duration and frequency. The Bayesian hazard-based duration models with random effect were developed to investigate the contributing factors to the travel time of e-bike trip. The random effect was included to capture the unobserved heterogeneity. Estimation results showed that trip purpose, traffic volume, population, departure time, age and occupation are the main contributing factors to e-bike trip duration. And the factors affecting travel time of e-bike trip are distinct between males and females. The validation results indicated that the predictive performance of the developed duration models are satisfactory. The Bayesian zero-inflated count models with random effect were then used to investigate the contributing factors to the e-bike trip frequency. The zero-inflated count model assumes that the frequency of e-bike trip is generated by two states, including zero-frequency state which determines whether people use e-bikes for travel, and negative binomial state which determines e-bike trip frequency.",{"EN":631},"Analysis of E-bike Trip Duration and Frequency by Bayesian Duration and Zero-inflated Count Models",{"VOID":633},"[\"8064096009664314560\"]",{"VOID":635},"Anastasopoulos, P. C., Haddock, J. E., Karlaftis, M. G., and Mannering, F. L. (2012). “An analysis of urban travel times: A random parameters hazard-based approach.” 91th Annual Meeting of the Transportation Research Board, CD-ROM, Washington, DC, DOI: 10.3141\u002F2302-13.\nAnastasopoulos, P.C., Labi, S., and McCullouch, B. (2009). “Analyzing the duration and prolongation of performance-based contracts through hazard-based duration and zero-inflated random parameters Poisson models.” China Civil Engineering Journal, Vol. 2136, pp. 11–19, DOI: 10.3141\u002F2136-02.\nAndersson, M., Björklund, G., and Haraldsson, M. (2016). “Marginal railway track renewal costs: A survival data approach.” China Civil Engineering Journal, Vol. 87, pp. 68–77, DOI: 10.1016\u002Fj.tra.2016.02.009.\nCao, X. and Chai Y. (2007). “Gender-role based differences in time allocation: A case study of Shenzhen, China.” Transportation Research Record, Vol. 2014, pp. 58–66, DOI: 10.3141\u002F2014-08.\nCherry, C. R., Weinert, J. X., and Yang, X. (2009). “Comparative environmental impacts of electric bikes in China.” China Civil Engineering Journal, Vol. 14, No. 5, pp. 281–290, DOI: 10.1016\u002Fj.trd.2008.11.003.\nChung, Y. (2010). “Development of an accident duration prediction model on the Korean freeway systems.” China Civil Engineering Journal, Vol. 42, No. 1, pp. 282–289, DOI: 10.1016\u002Fj.aap.2009.08.005.\nCollett, D. (2003). Modelling Survival Data in Medical Research. Chapman & Hall\u002FCRC, Boca Raton, FL, DOI: 10.1007\u002F978-1-4899-3115-3_3.\nDe-Geus, B., De Bourdeaudhuij, I., Jannes, C., and Meeusen, R. (2008). “Psychosocial and environmental factors associated with cycling for transport among a working population.” China Civil Engineering Journal, Vol. 23, No. 4, pp. 697–708, DOI: 10.1093\u002Fher\u002Fcym055.\nDebbie, A., Niemeier, P., and June, G. (1996). “Duration of trip-making activities by men and women: A survival analysis.” China Civil Engineering Journal, Vol. 23, No. 4, pp. 353–371, DOI: 10.1007\u002Fbf00223061.\nFernández-Heredia, A., Monzón, A., and Jara-Díaz, S. (2014). “Understanding cyclists’ perceptions, keys for a successful bicycle promotion.” China Civil Engineering Journal, Vol. 63, pp. 1–11, DOI: 10.1016\u002Fj.tra.2014.02.013.\nKleinbaum, D. G. and Klein, M. (2012). Survival analysis: A self-learning text, Springer, New York, NY, USA, DOI: 10.2307\u002F1270914.\nLee, J. and Mannering, F. L. (2002). “Impact of roadside features on the frequency and severity of run-off-roadway accidents: An empirical analysis.” Accident Analysis and Prevention, Vol. 34, pp. 149–161, DOI: 10.1016\u002Fs0001-4575(01)00009-4.\nLewis, C. D. (1982). Industrial and business forecasting method, Butterworth Scientific, London, UK.\nLi, D., Wang, W., Yang, M., Chen, X., and Hua X. 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(2008). “Making cycling irresistible: Lessons from the Netherlands, Denmark and Germany.” China Civil Engineering Journal, Vol. 28, No. 4, pp. 495–528, DOI: 10.1080\u002F01441640701806612.\nTurner, T. and Neimeier, D. (1997). “Travel to work and household responsibility: New evidence.” China Civil Engineering Journal, Vol. 24, No. 4, pp. 397–419.\nWardman, M., Tight, M., and Page, M. (2007). “Factors influencing the propensity to cycle to work.” China Civil Engineering Journal, Vol. 41, No. 4, pp. 339–350, DOI: 10.1016\u002Fj.tra.2006.09.011.\nWashington, S. P., Karlaftis, M. G., and Mannering, F. L. (2003). Statistical and econometric methods for transportation data analysis, Chapman & Hall\u002FCRC, Boca Raton, FL, USA, DOI: 10.1201\u002F9781420082869.\nXu, C., Li, H., Zhao, J., Chen., J., and W. Wang. (2017). “Investigating the relationship between jobs-housing balance and traffic safety.” China Civil Engineering Journal, Vol. 107, pp. 126–136, DOI: 10.1016\u002Fj.aap.2017.08.013.\nXu, C., Wang, Y., Liu, P., Wang, W., and Bao, J. (2018). “Quantitative risk assessment of freeway crash casualty using high-resolution traffic data.” China Civil Engineering Journal, Vol. 169, pp. 299–311, DOI: 10.1016\u002Fj.ress.2017.09.005.\nYang, C., Wang, W., Shan, X., Jin, J., Lu, J., and Li, Z. (2010). “The effects of personal factors on bicycle commuting in developing countries: A case study of Nanjing, China.” China Civil Engineering Journal, Vol. 2193, pp. 96–104, DOI: 10.3141\u002F2193-12.\nYang, C., Wang, W., Xu, C., Li, Z., Shan, X., and Jin, J. (2011). “Attitudinal bicycle commuting market segmentation in Nanjing, China: Structural equation modeling approach.” 90 th Annual Meeting of the Transportation Research Board, Washington, DC, USA, DOI: 10.1016\u002Fj.tra.2012.10.017.",{"VOID":637},"10.1007\u002Fs12205-019-0674-1","2024-05-16T20:41:57.657+00:00","http:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs12205-019-0674-1",[641,658],{"id":642,"sortIndex":21,"researcher":20,"roles":643,"affiliations":644,"properties":653,"displayName":655,"givenName":20,"familyName":20},"6d965262-c4b7-4185-9711-955fcb9e69d4",[204],[645],{"id":646,"sortIndex":21,"affiliation":647,"properties":20},"18fd54b2-a75b-4e7d-96bf-57da82199bd3",{"id":646,"createTime":20,"updateTime":20,"relativeEntities":648,"slug":20,"properties":649,"entityType":20,"verifyStatus":20,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":20,"url":20,"parentIds":652,"statistic":20},[],{"title":650},{"VI":651},"School of Transportation, Southeast University, Nanjing, China",[],{"title":654,"gsAuthor":656},{"VI":655},"Chengcheng Xu",{"VOID":657},"[\"LzmJ1nkAAAAJ\"]",{"id":659,"sortIndex":145,"researcher":20,"roles":660,"affiliations":661,"properties":668,"displayName":670,"givenName":20,"familyName":20},"6f371752-b40c-4046-bd75-fb22539a11ae",[204],[662],{"id":646,"sortIndex":21,"affiliation":663,"properties":20},{"id":646,"createTime":20,"updateTime":20,"relativeEntities":664,"slug":20,"properties":665,"entityType":20,"verifyStatus":20,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":20,"url":20,"parentIds":667,"statistic":20},[],{"title":666},{"VI":651},[],{"title":669,"gsAuthor":671},{"VI":670},"Chen 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purpose of this study is to explore the impact of changes in parking fee policy on residents’ willingness to own a car, based on a survey of Yulha in Gimhae, South Korea, a representative new town with a relatively high rate of car use due to lack of public transportation. This study, using parking demand function, analysed the response of car ownership intention to parking cost and examined social cost and deadweight loss according to the change in parking fee and its policy effect. The results of the analysis found that the elasticity of demand for parking fees was 6.7 times higher in the case of the intention to give up the purchase of an additional car (0.043) compared to the intention to abandon the operation of the existing car (0.288). The marginal increase rate was 200% in Yulha New Town. The results suggested that it would be desirable to raise the parking registration cost up to three times higher than the current level, from the point of view of society as a whole. In other words, the additional burden on service beneficiaries for the purpose of increasing social welfare was found to be sufficiently acceptable in terms of social systems optimization.",{"EN":737},"An Empirical Study on the Elasticity of Car Demand for Changes in Parking Registration Costs: For Apartment Houses in a New Town of Gimhae, South Korea",{"VOID":739},"[\"14442357952531814738\"]",{"VOID":741},"Atkinson SE, Halvorsen R (1984) Parametric efficiency tests, economics of scale and input demand in U.S. electric power generation. International Economic Review 25(3):647–662, DOI: https:\u002F\u002Fdoi.org\u002F10.2307\u002F2526224\nCho HS, Lee DM, Park SJ (2010) 2008 Traffic congestion costs: Estimation and trend anlysis. The Korea Transport Institute, Gyeonggi-do, South Korea\nCho HS, Park IG, Lee DM, Park JS (2007) Improving estimation for road traffic congestion cost. The Korea Transport Institute, Gyeonggido, South Korea\nDong JW, Jung SK, Kim YD (2016) The empirical research on relationship between traffic cost and regional gasoline demand. Kukje Kyungje Yongu 22(4):59–85, DOI: https:\u002F\u002Fdoi.org\u002F10.17298\u002Fkky.2016.22.4.003\nGhuzla KA, Al-Omari BH, Khasawneh MA (2016) Parking demand for residential apartment buildings in Jordan. ITE Journal 86:32–36\nHenderson V (2003) The urbanization process and economic growth: The so-what question. Journal of Economic Growth 8:47–71, DOI: https:\u002F\u002Fdoi.org\u002F10.1023\u002FA:1022860800744\nJelena S, Nada M, Goran M, Snezana K. (2012) Defining parking price based on users’ attitudes. Transport Policy 23:70–78, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.transpol.2012.06.009\nJung C, Kim SG, Kim CS (2007) A comparison study on fare and time elasticities on intercity rail travel demand. Journal of Korean Society of Civil Engineers 27(5):547–553\nKim DH, Par HJ (2017) Study on the demand of cars by fuel types and forecasting the demand of German cars resulting from increasing diesel price. Koreanische Zeitschrift fuer Wirtschaftswissenschaften 35(3):77–96, DOI: https:\u002F\u002Fdoi.org\u002F10.1823\u002FKDGW.2017.35.3.077\nKorea National Statistical Office (2021) Population Statistics, Retrieved October 06, 2021, http:\u002F\u002Fkosis.kr\nKorean Law Information Center (2021) Parking Lot Act, Retrieved December 11, 2021, http:\u002F\u002Fwww.lsw.go.kr\nKwon SD, KO DB, Park JJ, Ha TJ (2014) Development of estimation models for parking units: Focused on Gwangju Metropolitan City condominium apartments. Journal of Korean Society of Civil Engineers 34(2):549–559, DOI: https:\u002F\u002Fdoi.org\u002F10.12652\u002FKsce.2014.34.2.0549\nLee JH, Jung HY (2016) Analysis of willingness to own passenger car using structural equation model. Journal of Korean Society of Civil Engineers 36(5):857–865, DOI: https:\u002F\u002Fdoi.org\u002F10.12652\u002FKsce.2016.36.5.0857\nLee SH, Jung HY, Lee HR, Kim JY (2018) The awareness of usage of parking lot in the parking environment improving zone and activation of private parking lot. Journal of Korean Society of Civil Engineers 38(1):91–102, DOI: https:\u002F\u002Fdoi.org\u002F10.12652\u002FKsce.2018.38.1.0091\nLee ST, Lee MH (2001) Estimation of gasoline price elasticities of demand for automobile fuel efficiency in Korea: A Hedonic Approach. Environmental and Resource Economics Review 10(1): 45–64\nLee SW, Lee YH, Park JH (2000) Estimating price elasticities of domestic air transport demand by stated preference technique. Journal of Korean Society of Transportation 18(1):27–35, DOI: https:\u002F\u002Fdoi.org\u002F10.3141\u002F1839-19\nLinda S, Charles V, Goos S (2001) Instrumental-reasoned and symbolic-affective motives for using a motor car. Transportation Research 4(3):151–169, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002FS1369-8478(01)00020-1\nMedlock KB, Soligo R (2002) Car ownership and economic development with forecast to 2015. Journal of Transport Economics and Policy 36(2):163–188\nNicholson W, Snyder CM (2012) Microeconomic theory: Basic principles and extensions. South-Western Cengage Learning, Mason, OH, USA\nParmar J, Pritikana D, Sanjaykumar MD (2020) Study on demand and characteristics of parking system in urban areas: A review. Journal of Traffic and Transportation Engineering 7(1):111–124, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jtte.2019.09.003\nRyoo SK, Choi KC (2000) A study on the development of traffic assignment model and algorithm for the elastic and heterogenous travel demand. Journal of Civil and Environmental Engineering Research 20(4):351–360\nShin HO, Yoon JY, Choi JS, Lee EE (2019) A study on the improvement of the method to evaluate the status of parking supply and demand. Journal of Korean Society of Civil Engineers 39(2):351–359, DOI:https:\u002F\u002Fdoi.org\u002F10.12652\u002FKsce.2019.39.2.0351\nSong KW (2021) Comparative study on the use of new town multi-family housing parking lot in Gimhae. Journal of the Korean Analysis Society 23(5):2483–2492, DOI: https:\u002F\u002Fdoi.org\u002F10.37727\u002Fjkdas.2021.23.5.2483",{"VOID":743},"10.1007\u002Fs12205-022-0299-7","2024-05-11T23:59:31.671+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs12205-022-0299-7",[747,762,775],{"id":748,"sortIndex":21,"researcher":20,"roles":749,"affiliations":750,"properties":759,"displayName":761,"givenName":20,"familyName":20},"172bec1d-0057-4acb-a388-d4d73586524f",[204],[751],{"id":752,"sortIndex":21,"affiliation":753,"properties":20},"9f87fdc0-1b89-4934-9f67-a4cbe18661e0",{"id":752,"createTime":20,"updateTime":20,"relativeEntities":754,"slug":20,"properties":755,"entityType":20,"verifyStatus":20,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":20,"url":20,"parentIds":758,"statistic":20},[],{"title":756},{"VI":757},"Gyeongnam Institute, Changwon, Korea",[],{"title":760},{"VI":761},"Ki-Wook 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feasibility of detecting damage at the steel pile-clay interface using cylindrical guided waves is investigated in this paper. It is shown that cylindrical guided waves (or cylindrical Lamb waves) can easily detect such damage. A special coupler between the steel pile and ultrasonic transducer has been used to launch non-axisymmetric (or flexural) cylindrical guided waves in the steel pile. This investigation shows that the cylindrical guided waves can propagate along the steel pile embedded in clay and are sensitive to the interface damage between pile and clay.",{"EN":852},"Cylindrical guided waves for inspection of clay-steel pile interface",{"VOID":854},"[\"18205934984990981957\"]",{"VOID":856},"Guo, D. and Kundu, T. (1999). “Special Sensors for Generating Lamb Waves in Pipes”, In D. O. Thomson and D. E. Chimenti (ed.),Progress in Quantitative Nondestructive Evaluation, New York, Plenum Press, Vol. 18, pp. 1155–1162.\nGuo, D. and Kundu, T. (2000). “A new sensor for pipe inspection by lamb waves”,Materials Evaluation, Vol. 58, No. 8, pp. 991–994.\nKnopoff, L. (1964). “A Matrix Method for Elastic Wave Problems”,Bulletin of the Seismological Society of America, Vol. 54, pp. 431–438.\nLin, J. and Sansalone, M. (1994). “Impact-echo response of hollow cylindrical concrete structures surrounded by soil and rock: part II-experimental studies”,Geotechnical Testing J. Vol. 17, No. 2, pp. 220–226.\nMal, A. (1988). “Wave Propagation in Layered Composite Laminates under Periodic Surface Loads”,Wave Motion, Vol. 10, pp. 257–266.\nPavlakovic, B. & Lowe, M. (1997).DISPERSE user's manual. Imperial College: University of London: Non-Destructive Testing Laboratory.\nPavlakovic, B., Lowe, M., and Cawley, P. (1998). “Guided Ultrasonic Waves for the Inspection of Post-Tensioned bridges”,Review of Progress in Quantitative Nondestructive Evaluation, Eds. D. O. Thomson and D. E. Chimenti, Plenum Press, New York, Vol. 17, pp. 1557–1564.\nRandall, M. J. (1967). “Fast Programs for Half-Space Problems”,Bulletin of the Seismological Society of America, Vol. 57, pp. 1299–1315.\nRix, G. J., Jacobs, L. J., Rhodes, P. B., and Raparelli, R. Q. (1996). “Nondestructive assessment of pile tip elevation using flexural waves”,Proceedings symposium on the application of geophysics to engineering and environmental problem, pp. 577–586.\nSchmidt, H., and Jensen, F. B. (1985). “A Full Wave Solution for Propagation in Multilayered Viscoelastic Media with Application to Gaussian Beam Reflection at Liquid-Solid Interfaces”,Journal of the Acoustical Society of America, Vol. 77, pp. 813–825.\nSilk, M. G. and Bainton, K. F. (1979). “The propagation in metal tubing of ultrasonic wave mode equivalent to lamb waves”,Ultrasonics, Vol. 17, pp. 11–19.\nWang, W. D. (1999). “Applications of Guided Wave Techniques in the Petrochemical Industry”, In D. O. Thomson and D. E. Chimenti (ed.),Review of Progress in Quantitative Nondestructive Evaluation, New York, Plenum Press, Vol. 18, pp. 277–284.\nWilcox, P., Dalton, R., Lowe, M., and Cawley, P. (1999). “Mode Selection and Transduction for Structural Monitoring Using Lamb Waves”, Structural Health Monitoring 2000, Ed. F. K. Chang, Pub. Technomic Publishing Co., Lancaster, Basel, pp. 703–712.",{"VOID":858},"10.1007\u002FBF02830723","2024-05-16T11:53:11.820+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002FBF02830723",[862,879,894],{"id":863,"sortIndex":21,"researcher":20,"roles":864,"affiliations":865,"properties":874,"displayName":876,"givenName":20,"familyName":20},"d44d6e04-5958-493b-884d-3f424725b782",[204],[866],{"id":867,"sortIndex":21,"affiliation":868,"properties":20},"630c175f-970d-4676-8079-c9d6f02d26a7",{"id":867,"createTime":20,"updateTime":20,"relativeEntities":869,"slug":20,"properties":870,"entityType":20,"verifyStatus":20,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":20,"url":20,"parentIds":873,"statistic":20},[],{"title":871},{"VI":872},"Department of Civil Engineering & Engineering Mechanics, University of Arizona, Tucson, USA",[],{"title":875,"gsAuthor":877},{"VI":876},"Won-Bae 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Ryu",{"url":860,"publisher":910,"properties":952},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":911,"slug":10,"properties":912,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":916,"manageAffiliations":921,"indexDatabases":932,"url":79,"thumbnailPath":20,"statistic":947,"gsStatistic":20,"type":172,"analyzePriority":20},[],{"issn":913,"title":914,"eissn":915},{"VOID":13},{"EN":15},{"VOID":17},[917],{"id":24,"createTime":20,"updateTime":20,"relativeEntities":918,"label":919,"description":920,"parentId":20,"standard":20,"scholarHubFieldId":20},[],{"EN":27},{},[922,927],{"id":31,"createTime":20,"updateTime":20,"relativeEntities":923,"slug":20,"properties":924,"entityType":20,"verifyStatus":20,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":20,"url":20,"parentIds":926,"statistic":20},[],{"title":925},{"EN":35},[],{"id":38,"createTime":20,"updateTime":20,"relativeEntities":928,"slug":20,"properties":929,"entityType":20,"verifyStatus":20,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":20,"url":20,"parentIds":931,"statistic":20},[],{"title":930},{"EN":42},[],[933,940],{"id":46,"indexDatabase":934,"url":57,"indexYears":58,"academicFieldIds":939,"indexDatabaseRanking":61},{"id":48,"createTime":20,"updateTime":20,"relativeEntities":935,"label":936,"description":937,"key":54,"publicationTags":938,"standard":20},[],{"EN":51,"VI":51},{"EN":51,"VI":53},[56],[60],{"id":63,"indexDatabase":941,"url":76,"indexYears":20,"academicFieldIds":946,"indexDatabaseRanking":20},{"id":65,"createTime":20,"updateTime":20,"relativeEntities":942,"label":943,"description":944,"key":72,"publicationTags":945,"standard":20},[],{"EN":68,"VI":68},{"EN":70,"VI":71},[74,75],[78],{"impactFactor":21,"impactFactorByYear":948,"i10Index":92,"i10IndexLast5Year":93,"totalPublication":94,"totalPublicationByYear":949,"totalCitation":122,"totalCitationByYear":950,"totalCitationPerPublication":146,"totalCitationPerPublicationByYear":951,"hindexLast5Year":102,"hindex":102},{"2012":82,"2013":83,"2014":84,"2015":83,"2016":85,"2017":86,"2018":87,"2019":88,"2020":89,"2021":90,"2022":91,"2023":89},{"1997":96,"1998":97,"1999":98,"2000":99,"2001":100,"2002":101,"2003":102,"2004":103,"2005":104,"2006":101,"2007":101,"2008":105,"2009":106,"2010":107,"2011":108,"2012":109,"2013":110,"2014":111,"2015":112,"2016":113,"2017":114,"2018":115,"2019":116,"2020":117,"2021":118,"2022":119,"2023":120,"2024":121},{"1998":124,"2000":125,"2001":104,"2002":126,"2003":127,"2004":128,"2005":105,"2006":126,"2007":105,"2008":129,"2009":130,"2010":131,"2011":132,"2012":133,"2013":134,"2014":135,"2015":136,"2016":137,"2017":138,"2018":139,"2019":140,"2020":141,"2021":142,"2022":143,"2023":144,"2024":145},{"1998":148,"2000":149,"2001":150,"2002":151,"2003":152,"2004":153,"2005":154,"2006":151,"2007":155,"2008":156,"2009":157,"2010":158,"2011":159,"2012":160,"2013":161,"2014":162,"2015":163,"2016":164,"2017":165,"2018":156,"2019":166,"2020":167,"2021":168,"2022":169,"2023":170,"2024":171},{"pages":953,"volume":955},{"VOID":954},"29-34",{"VOID":956},"5",{"total":145,"publishYear":958,"statisticByYear":959},2001,{"2002":145},"2001-03-01","2026-07-29T15:26:02.565+00:00",[74],{"id":964,"createTime":965,"updateTime":966,"relativeEntities":967,"slug":968,"properties":969,"entityType":193,"verifyStatus":194,"verifyTime":980,"verifyNote":196,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":981,"fullTextUrl":20,"authors":982,"publicationType":232,"publisherRelationship":1013,"citationCount":21,"citationInfo":1061,"publishDate":1064,"publishYear":1062,"citationAnalyzeStatus":839,"lastCitationAnalyze":1065,"indexDatabases":1066,"openAccess":20,"references":20,"isForceReanalyzing":284},"5ef0df76-bc43-428e-80bc-9d0333c060fb","2024-02-07T22:56:56.667+00:00","2026-07-29T00:17:04.455+00:00",[],"Development-of-a-3D-local-terrain-modeling-system-of-intelligent-excavation-robot",{"abstract":970,"title":972,"gsPaper":974,"references":976,"doi":978},{"EN":971},"In Korea, an intelligent excavation robot has been recently developed in an effort to reduce fuel consumption by improving the work efficiency and automating operation of conventional excavator in earthwork. It is a fully automated excavation robot based on a new paradigm of being able to manage and perform self-driving, three-dimensional (3D) modeling of the local terrain, automated excavation, loading, and 3D global modeling of the entire earthwork site, as well as adopt an intelligent task plan system. The intelligent excavation robot scans the 3D terrain of the excavation site through a sensor and processes the virtual scan image to implement the earthwork plan in the same manner as a human worker would. The purpose of this study is to develop a 3D local terrain modeling system with a 2D laser scanner that can rapidly and economically model the 3D local terrain for the intelligent excavation robot. The developed sensor system is installed in the intelligent excavation robot to test its performance in an actual earthwork site, and its field test result is also presented in this study as well. Finally, conclusions are made concerning the value of implementing and practically using the proposed 3D local terrain modeling system in earthwork.",{"EN":973},"Development of a 3D local terrain modeling system of intelligent excavation robot",{"VOID":975},"[\"17061175990466985462\"]",{"VOID":977},"Cannon, H. (1999). Extended earthmoving with an autonomous excavator, Master Thesis, Carnegie Mellon Robotics Institute, CMU-RI-TR-99-10.\nSeo, J. W., Park, C. W., and Jang, D. S. (2007). “Development of intelligent excavating system: Introduction of research center.” KICEM Proceedings, pp. 197–204. (in Korean)\nSingh, S. and Simmons, R. G. (1992). “Task planning for robotic excavation.” IROS 1992, pp. 1284–1291, DOI: 10.1109\u002FIROS.1992.594551.\nStentz, A., Bares, J., Singh, S., and Rowe, P. (1999). “A robotic excavator for autonomous truck loading.” Autonomous Robots, Vol. 7, No. 2, pp. 175–186, DOI: 10.1023\u002FA:1008914201877.\nYamamoto, H., Ishimatsu, Y., Ageishi, S., Ikeda, N., Endo, K., Masuda, M., Uchida, M., and Yamaguchi, H. (2006). “Example of experimental use of 3d measurement system for construction robot based on component design concept.” 23 rd ISARC 2006, pp. 252–257.\nYamamoto, H., Moteki, M., Ootuki, T., Kanazawa, H., and Tanaka, Y. (2009). “Basic technology toward autonomous hydraulic excavator.” 26 th ISARC 2009, pp. 288–295.\nYoo, H. S., Kwon, S. W., and Kim, Y. S. (2013). “A study on the selection and applicability analysis of 3D terrain modeling sensor for intelligent excavation robot.” Journal of Korean Society of Civil Engineers, Vol. 33, No. 6D, pp. 2,551–2,562, DOI: 10.12652\u002FKsce.2013.33.6.2551 (in Korean)",{"VOID":979},"10.1007\u002Fs12205-016-0309-8","2024-05-13T09:56:58.049+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs12205-016-0309-8",[983,998],{"id":984,"sortIndex":21,"researcher":20,"roles":985,"affiliations":986,"properties":995,"displayName":997,"givenName":20,"familyName":20},"10824e85-6ade-4ec3-ac1d-8f3b181a7bef",[204],[987],{"id":988,"sortIndex":21,"affiliation":989,"properties":20},"59392776-ee8f-4029-9c4a-4a06170bde48",{"id":988,"createTime":20,"updateTime":20,"relativeEntities":990,"slug":20,"properties":991,"entityType":20,"verifyStatus":20,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":20,"url":20,"parentIds":994,"statistic":20},[],{"title":992},{"VI":993},"Dept. of Technology Education, Korea National University of Education (KNUE), Cheongju, Korea",[],{"title":996},{"VI":997},"Hyun-Seok Yoo",{"id":999,"sortIndex":145,"researcher":20,"roles":1000,"affiliations":1001,"properties":1010,"displayName":1012,"givenName":20,"familyName":20},"4ed4a45c-7c7e-430d-a41f-3a7b1bb34ddb",[204],[1002],{"id":1003,"sortIndex":21,"affiliation":1004,"properties":20},"35df99cf-f002-42db-a4f2-ea683de09b72",{"id":1003,"createTime":20,"updateTime":20,"relativeEntities":1005,"slug":20,"properties":1006,"entityType":20,"verifyStatus":20,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":20,"url":20,"parentIds":1009,"statistic":20},[],{"title":1007},{"VI":1008},"Dept. of Architectural Engineering, Inha University, Incheon, Korea",[],{"title":1011},{"VI":1012},"Young-Suk Kim",{"url":981,"publisher":1014,"properties":1056},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1015,"slug":10,"properties":1016,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":1020,"manageAffiliations":1025,"indexDatabases":1036,"url":79,"thumbnailPath":20,"statistic":1051,"gsStatistic":20,"type":172,"analyzePriority":20},[],{"issn":1017,"title":1018,"eissn":1019},{"VOID":13},{"EN":15},{"VOID":17},[1021],{"id":24,"createTime":20,"updateTime":20,"relativeEntities":1022,"label":1023,"description":1024,"parentId":20,"standard":20,"scholarHubFieldId":20},[],{"EN":27},{},[1026,1031],{"id":31,"createTime":20,"updateTime":20,"relativeEntities":1027,"slug":20,"properties":1028,"entityType":20,"verifyStatus":20,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":20,"url":20,"parentIds":1030,"statistic":20},[],{"title":1029},{"EN":35},[],{"id":38,"createTime":20,"updateTime":20,"relativeEntities":1032,"slug":20,"properties":1033,"entityType":20,"verifyStatus":20,"verifyTime":20,"verifyNote":20,"languages":20,"translateLanguages":20,"viewCount":20,"url":20,"parentIds":1035,"statistic":20},[],{"title":1034},{"EN":42},[],[1037,1044],{"id":46,"indexDatabase":1038,"url":57,"indexYears":58,"academicFieldIds":1043,"indexDatabaseRanking":61},{"id":48,"createTime":20,"updateTime":20,"relativeEntities":1039,"label":1040,"description":1041,"key":54,"publicationTags":1042,"standard":20},[],{"EN":51,"VI":51},{"EN":51,"VI":53},[56],[60],{"id":63,"indexDatabase":1045,"url":76,"indexYears":20,"academicFieldIds":1050,"indexDatabaseRanking":20},{"id":65,"createTime":20,"updateTime":20,"relativeEntities":1046,"label":1047,"description":1048,"key":72,"publicationTags":1049,"standard":20},[],{"EN":68,"VI":68},{"EN":70,"VI":71},[74,75],[78],{"impactFactor":21,"impactFactorByYear":1052,"i10Index":92,"i10IndexLast5Year":93,"totalPublication":94,"totalPublicationByYear":1053,"totalCitation":122,"totalCitationByYear":1054,"totalCitationPerPublication":146,"totalCitationPerPublicationByYear":1055,"hindexLast5Year":102,"hindex":102},{"2012":82,"2013":83,"2014":84,"2015":83,"2016":85,"2017":86,"2018":87,"2019":88,"2020":89,"2021":90,"2022":91,"2023":89},{"1997":96,"1998":97,"1999":98,"2000":99,"2001":100,"2002":101,"2003":102,"2004":103,"2005":104,"2006":101,"2007":101,"2008":105,"2009":106,"2010":107,"2011":108,"2012":109,"2013":110,"2014":111,"2015":112,"2016":113,"2017":114,"2018":115,"2019":116,"2020":117,"2021":118,"2022":119,"2023":120,"2024":121},{"1998":124,"2000":125,"2001":104,"2002":126,"2003":127,"2004":128,"2005":105,"2006":126,"2007":105,"2008":129,"2009":130,"2010":131,"2011":132,"2012":133,"2013":134,"2014":135,"2015":136,"2016":137,"2017":138,"2018":139,"2019":140,"2020":141,"2021":142,"2022":143,"2023":144,"2024":145},{"1998":148,"2000":149,"2001":150,"2002":151,"2003":152,"2004":153,"2005":154,"2006":151,"2007":155,"2008":156,"2009":157,"2010":158,"2011":159,"2012":160,"2013":161,"2014":162,"2015":163,"2016":164,"2017":165,"2018":156,"2019":166,"2020":167,"2021":168,"2022":169,"2023":170,"2024":171},{"pages":1057,"volume":1059},{"VOID":1058},"565-578",{"VOID":1060},"21",{"total":21,"publishYear":1062,"statisticByYear":1063},2016,{},"2016-08-30","2026-07-29T00:17:04.453+00:00",[61,74],{"id":1068,"createTime":1069,"updateTime":1070,"relativeEntities":1071,"slug":1072,"properties":1073,"entityType":193,"verifyStatus":194,"verifyTime":1084,"verifyNote":196,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":1085,"fullTextUrl":20,"authors":1086,"publicationType":232,"publisherRelationship":1132,"citationCount":1180,"citationInfo":1181,"publishDate":1184,"publishYear":838,"citationAnalyzeStatus":839,"lastCitationAnalyze":1185,"indexDatabases":1186,"openAccess":20,"references":20,"isForceReanalyzing":284},"ecfbcb9d-72a1-47f8-8098-87f776e247b4","2024-02-06T22:02:18.513+00:00","2026-07-28T12:01:59.494+00:00",[],"Seismic-Stability-of-3D-Tunnel-Face-considering-Tensile-Strength-Cut-Off",{"abstract":1074,"title":1076,"gsPaper":1078,"references":1080,"doi":1082},{"EN":1075},"Earthquakes can have a very adverse effect on tunnel excavation. The Mohr-Coulomb failure criterion is modified by introducing tensile strength cut-off, which allows nonlinear strength reduction of soil under tensile conditions, and kinematic analysis of tunnel face subjected to the earthquake is carried out. The pseudo-dynamic method is adopted to simulate the earthquake with the acceleration varying with time and space, improving the accuracy of the simulation. The external power and internal energy dissipation rate are equal to obtain the expression of tunnel face support pressure under the limit analysis framework. And the most unfavorable tunnel face support pressure is optimized by using the method of exhaustion. Compared with other research results, the validity of this method is proved. The influence of soil parameters and pseudo-dynamic parameters on the critical support pressure is revealed by further parameter analysis. Finally, this study provides an effective reference for seismic design of tunnel engineering construction.",{"EN":1077},"Seismic Stability of 3D Tunnel Face considering Tensile Strength Cut-Off",{"VOID":1079},"[\"17115379207696882285\",\"4079085614344639662\"]",{"VOID":1081},"Anagnostou G, Kovári K (1996) Face stability conditions with earth pressure balanced shields. Tunnelling and Underground Space Technology 11(2):165–173, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002F0886-7798(96)00017-X\nAusilio E, Conte E, Dente G (2000) Seismic stability analysis of reinforced slopes. Soil Dynamics and Earthquake Engineering 19(3):159–172, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0267-7261(00)00005-1\nGui YL, Bui HH, Kodikara J, Zhang QB, Zhao J, Rabczuk T (2016) Modelling the dynamic failure of brittle rocks using a hybrid continuum-discrete element method with a mixed-mode cohesive fracture model. International Journal of Impact Engineering 87:146–155, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijimpeng.2015.04.010\nKarray M, Hussien MN, Delisle MC, Ledoux C (2018) Framework to assess pseudostatic approach for seismic stability of clayey slopes. Canadian Geotechnical Journal 55(12):1860–1876, DOI: https:\u002F\u002Fdoi.org\u002F10.1139\u002Fcgj-2017-0383\nLeca E, Dormieux L (1990) Upper and lower bound solutions for the face stability of shallow circular tunnels in frictional material. Geotechnique 40(4):581–606, DOI: https:\u002F\u002Fdoi.org\u002F10.1680\u002Fgeot.1990.40.4.581\nLi TZ, Li YX, Yang XL (2017) Rock burst prediction based on genetic algorithms and extreme learning machine. Journal of Central South University 24(9):2105–2113, DOI: https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11771-017-3619-1\nLi TZ, Yang XL (2018a) Probabilistic stability analysis of subway tunnels combining multiple failure mechanisms and response surface method. International Journal of Geomechanics 18(12):04018167, DOI: https:\u002F\u002Fdoi.org\u002F10.1061\u002F(ASCE)GM.1943-5622.0001315\nLi TZ, Yang XL (2018b) Risk assessment model for water and mud inrush in deep and long tunnels based on normal grey cloud clustering method. KSCE Journal of Civil Engineering 22(5):1991–2001, DOI: https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs12205-017-0553-6\nLi TZ, Yang XL (2019) An efficient uniform design for Kriging-based response surface method and its application. Computers and Geotechnics 109:12–22, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.compgeo.2019.01.009\nLiu B, Vu-Bac N, Rabczuk T (2021) A stochastic multiscale method for the prediction of the thermal conductivity of Polymer nanocomposites through hybrid machine learning algorithms. Composite Structures 273:114269, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.compstruct.2021.114269\nLiu B, Vu-Bac N, Zhuang XY, Rabczuk T (2020) Stochastic multiscale modeling of heat conductivity of Polymeric clay nanocomposites. Mechanics of Materials 142:103280, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.mechmat.2019.103280\nMichalowski RL, Drescher A (2009) Three-dimensional stability of slopes and excavations. Géotechnique 59(10):839–850, DOI: https:\u002F\u002Fdoi.org\u002F10.1680\u002Fgeot.8.P.136\nMollon G, Dias D, Soubra AH (2009) Probabilistic analysis and design of circular tunnels against face stability. International Journal of Geomechanics 9(6):237–249\nMollon G, Dias D, Soubra AH (2011) Rotational failure mechanisms for the face stability analysis of tunnels driven by a pressurized shield. International Journal for Numerical Analytical Methods in Geomechanics 35(12):1363–1388, DOI: https:\u002F\u002Fdoi.org\u002F10.1002\u002Fnag.962\nNimbalkar SS, Choudhury D, Mandal JN (2006) Seismic stability of reinforced soil-wall by pseudo-dynamic method. Geosynthetics International 13(3):111–119, DOI: https:\u002F\u002Fdoi.org\u002F10.1680\u002Fgein.2006.13.3.111\nNouri H, Fakher A, Jones C (2008) Evaluating the effects of the magnitude and amplification of pseudo-static acceleration on reinforced soil slopes and walls using the limit equilibrium horizontal slices method. Geotextiles and Geomembranes 26(3):263–278, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.geotexmem.2007.09.002\nPerazzelli P, Anagnostou G (2013) Stress analysis of reinforced tunnel faces and comparison with the limit equilibrium method. Tunnelling and Underground Space Technology 38:87–98, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.tust.2013.05.008\nQin CB, Chian SC (2018) Kinematic analysis of seismic slope stability with a discretisation technique and pseudo-dynamic approach: A new perspective. Géotechnique 68(6):492–503, DOI: https:\u002F\u002Fdoi.org\u002F10.1680\u002Fjgeot.16.P.200\nRabczuk T, Areias PMA (2006) A new approach for modelling slip lines in geological materials with cohesive models. International Journal for Numerical Analytical Methods in Geomechanics 30(11): 1159–1172, DOI: https:\u002F\u002Fdoi.org\u002F10.1002\u002Fnag.522\nRabczuk T, Belytschko T (2004) Cracking particles: A simplified meshfree method for arbitrary evolving cracks. International Journal for Numerical Methods in Engineering 61(13):2316–2343, DOI: https:\u002F\u002Fdoi.org\u002F10.1002\u002Fnme.1151\nRabczuk T, Belytschko T (2007) A three-dimensional large deformation meshfree method for arbitrary evolving cracks. Computer Methods in Applied Mechanics and Engineering 196(29–30):2777–2799, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.cma.2006.06.020\nRabczuk T, Ren H (2017) A peridynamics formulation for quasi-static fracture and contact in rock. Engineering Geology 225:42–48, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.enggeo.2017.05.001\nRabczuk T, Zi G, Bordas S, Nguyen-Xuan H (2010) A simple and robust three-dimensional cracking-particle method without enrichment. Computer Methods in Applied Mechanics and Engineering 199(37–40):2437–2455, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.cma.2010.03.031\nRen H, Zhuang X, Cai Y, Rabczuk T (2016) Dual-horizon peridynamics. International Journal for Numerical Methods in Engineering 108(12): 1451–1476, DOI: https:\u002F\u002Fdoi.org\u002F10.1002\u002Fnme.5257\nRen H, Zhuang X, Rabczuk T (2017) Dual-horizon peridynamics: A stable solution to varying horizons. Computer Methods in Applied Mechanics and Engineering 318:762–782, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.cma.2016.12.031\nSaada Z, Maghous S, Garnier D (2013) Pseudo-static analysis of tunnel face stability using the generalized hoek-brown strength criterion. International Journal for Numerical Analytical Methods in Geomechanics 37(18):3194–3212, DOI: https:\u002F\u002Fdoi.org\u002F10.1002\u002Fnag.2185\nSahoo JP, Kumar J (2014) Stability of a circular tunnel in presence of pseudostatic seismic body forces. Tunnelling and Underground Space Technology 42:264–276, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.tust.2014.03.003\nSoubra AH, Dias D Emeriault F, Kastner R (2008) Three-dimensional face stability analysis of circular tunnels by a kinematical approach. GeoCongress 2008, March 9–12, New Orleans, LA, USA, 894–901, DOI: https:\u002F\u002Fdoi.org\u002F10.1061\u002F40972(311)112\nSubrin D, Wong H (2002) Stability of the front of a tunnel in a rubbing environment: A new 3D break mechanism. Rendus Mécanique 330(7):513–9, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002FS1631-0721(02)01491-2\nVu-Bac N, Lahmer T, Zhuang X, Nguyen-Thoi T, Rabczuk T (2016) A software framework for probabilistic sensitivity analysis for computationally expensive models. Advances in Engineering Software 100:19–31, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.advengsoft.2016.06.005\nYang XL, Huang F (2011) Collapse mechanism of shallow tunnel based on nonlinear Hoek-Brown failure criterion. Tunnelling and Underground Space Technology 26(6):686–691, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.tust.2011.05.008\nYang XL, Wang JM (2011) Ground movement prediction for tunnels using simplified procedure. Tunnelling and Underground Space Technology 26(3):462–471, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.tust.2011.01.002\nYang XL, Yin JH (2004) Slope stability analysis with nonlinear failure criterion. Journal of Engineering Mechanics 130(3):267–273, DOI: https:\u002F\u002Fdoi.org\u002F10.1061\u002F(ASCE)0733-9399(2004)130:3(267)\nYang XL, Yin JH (2005) Upper bound solution for ultimate bearing capacity with a modified Hoek-Brown failure criterion. International Journal of Rock Mechanics and Mining Sciences 42(4):550–560, DOI: https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijrmms.2005.03.002\nZhong JH, Yang XL (2022) Pseudo-dynamic stability of rock slope considering Hoek-Brown strength criterion. 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reliable and consistent method of computing total sediment discharge within a river system is one of the most important practical objectives of research in fluvial processes. Modified Einstein Procedure (MEP) and Series Expansion Modified Einstein Procedure (SEMEP) methods were used to determine total sediment load on the basis of the data collected from a depth-integrated sediment. On the basis of Fifty nine data sets measured from 5 rivers including a sand bed river and four garvel bed rivers, the accuracy of sediment discharge calculations were examined. In a sand bed river the results of SEMEP method was remarkably better than MEP method. In SEMEP method, calculated and measured total load are almost equal (Mean discrepancy ratio is 1.27) while MEP model compute total load discharge approximately 3 times greater than averaged measured values (Mean discrepancy ratio is 2.9). In all gravel bed rivers, except one, SEMEP method was better in predicting total load than MEP method. 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(2011). “Total sediment load from SEMEP using depth integrated concentration measurements.” Journal of Hydraulic Engineering, Vol. 137, No. 12, pp. 1606–1614.",{"doi":527},{"id":20,"text":1386,"url":20,"identifiers":1387},"Shah-Fairbank, S. C., Julien, P. Y., and Guo, J. (2008). Applicability of the modified einstein procedure, Hydrology Days, Colorado State University.",{},{"id":523,"text":1389,"url":525,"identifiers":1390},"Yang, C. T. (1996). Sediment transport theory and practice, The McGraw-Hill Companies, Inc., New York.",{"doi":527},{"id":1392,"text":1393,"url":1394,"identifiers":1395},"1df1478d-50f7-492e-bccc-e2e134b853ef","Yang, C. T., Marsooli, R., and Aalami, M. T. (2009). “Evaluation of total load sediment transport formulas using ANN.” International Journal of Sediment Research, Vol. 24, No. 3, pp. 274–286.","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS1001627910600030",{"doi":1396},"10.1016\u002Fs1001-6279(10)60003-0",{"id":523,"text":1398,"url":525,"identifiers":1399},"Zhu, Y.-M., Lu, X. X., and Zhou, Y. (2007). “Suspended sediment flux modeling with artificial neural network: An example of the ongchuanjiang River in the Upper Yangtze Catchment, China.” Geomorphology, Vol. 84, Nos. 1–2, pp. 111–125.",{"doi":527},{"id":1401,"createTime":1402,"updateTime":1403,"relativeEntities":1404,"slug":1405,"properties":1406,"entityType":193,"verifyStatus":194,"verifyTime":1417,"verifyNote":196,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":1418,"fullTextUrl":20,"authors":1419,"publicationType":232,"publisherRelationship":1499,"citationCount":20,"citationInfo":20,"publishDate":1546,"publishYear":515,"citationAnalyzeStatus":19,"lastCitationAnalyze":1547,"indexDatabases":1548,"openAccess":20,"references":20,"isForceReanalyzing":284},"4eeef92f-3eba-4fed-8157-4b849f9feb25","2024-01-10T18:05:07.418+00:00","2026-07-27T08:43:59.405+00:00",[],"Dual-layered-CNT-structure-air-cathode-for-power-generation-from-microbial-fuel-cells",{"abstract":1407,"title":1409,"gsPaper":1411,"references":1413,"doi":1415},{"EN":1408},"A new cathode, layered with hydrophilic and hydrophobic structures using multiwall carbon nanotubes treated with nitric acid, was developed. The performance of the new cathode for the production of power from a microbial fuel cell was tested and compared to a commercial carbon cloth cathode, with Platinum as a catalyst, for the reduction of oxygen. The maximum power density of a hydrophobic layered only CNT (Carbon Nanotube) cathode, using a polytetrafluroethylene binder, was as low as 81–85 mW\u002Fm2, which was only 58.2% that of the MFC (Microbial Fuel Cell) with the graphite cloth cathode containing Pt. The performance of the MFC with the cathode was also limited by the reduction of oxygen. The cathodic potential obtained from the MFC installed with hydrophilic (Nafion binder) and hydrophobic (PTFE binder) dual layered CNT cathodes, using MWCNT (Multiwall Carbon Nanotube) pretreated with nitric, acid was reasonably high, and its maximum power density was 40% higher than that of the MFC with a commercial graphite cloth containing Pt for the reduction of oxygen.",{"EN":1410},"Dual layered CNT structure air cathode for power generation from microbial fuel cells",{"VOID":1412},"[\"8217464963541006559\"]",{"VOID":1414},"Clauwaert, P., Aelterman, P., Pham, T. H., Schamphelaire, L. D., Carballa, M., Rabaey, K., and Verstraete, W. (2008). “Minimizing losses in bio-electrochemical systems: The road to applications.” Appl. Microbiol. Biotechnol., Vol, 79, No. 6, pp. 901–913.\nDuteanu, N., Erable, B., Senthil Kumar, S. M., Ghangrekar, M. M., and Scott, K. (2010). “Effect of chemically modified Vulcan XC-72R on the performance of air-breathing cathode in a single-chamber microbial fuel cell.” Bioresource Technology, Vol. 101, No. 14, pp. 5250–5255.\nErable, B., Duteanu, N., SenthilKumar, S. M., Feng, Y., Makarand, M., and Ghangrekar, S. K. (2009). “Nitric acid activation of graphite granules to increase the performance of the non-catalyzed Oxygen Reduction Reaction (ORR) for MFC applications.” Electrochem. Comm., Vol. 11, No. 2, pp. 1547–1549.\nHaji, S. (2011). “Analytical modeling of PEM fuel cell i-V curve.” Renewable Energy, Vol. 36, No. 2, pp. 451–458.\nHamelers, H. V. M., Heijne, A. T., Sleutels, T. H. J. A., Jeremiasse, A. W., Strik, D. P. B. T. B., and Buisman, C. J. N. (2010). “New applications and performance of bioelectrochemical systems.” Appl. Microbiol. Biotechnol., Vol. 85, No. 6, pp. 1673–1685.\nLiu, H., Chang, S., and Logan, B. (2005). “Production of electricity from acetate or butyrate using a single-chamber microbial fuel cell.” Environ. Sci. Technol., Vol. 39, No. 2, pp. 658–662.\nLogan, B. E., Hamelers, B, Rozendal, R., Schroder, U., Keller, J., Freguia, S., Alterman, P., Verstraete, W., and Rabaey, K. (2006). “Microbial fuel cells: Methodology and technology.” Environ. Sci. Technol., Vol. 40, No. 17, pp. 5181–5192.\nRabaey, K. and Verstraete, W. (2005). “Microbial fuel cells: Novel biotechnology for energy generation.” TRENDS in Biotech., Vol. 23, No. 6, pp. 291–298.\nSong, Y. C., Yoo, K. S., and Lee, S. K. (2010). “Surface floating air cathode microbial fuel cell with horizontal flow for continuous power production from wastewater.” Journal Power Sources, Vol. 195, No. 19, pp. 6478–6482.\nYou, S., Zhao, Q., Zhang, J., Liu, H. J., Jiang, J., and Zhao, S. (2008). “Increased sustainable electricity generation in up-flow air-cathode microbial fuel cells.” Biosensors and Bioelectronics, Vol. 23, No. 7, pp. 1157–1160.\nZhang, X. and Shi, P. (2006). “Dual-bonded catalyst layer structure cathode for PEMFC.” Electrochem. 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