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An efficient probabilistic back-analysis method for braced excavations using wall deflection data at multiple points
Institution:1. Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau, China;2. UMacau Research Institute, Zhuhai, Guangdong, China;1. ESET, Universidad CEU Cardenal Herrera, Spain;2. ICITECH, Universitat Politècnica de València, Spain;1. Key Laboratory of New Technology for Construction of Cities in Mountain Area, Chongqing University, Ministry of Education, Chongqing 400045, China;2. School of Civil Engineering, Chongqing University, Chongqing 400045, China;3. School of Civil and Environmental Engineering, Nanyang Technological University, 639798, Singapore;4. IIIBIT-Sydney, Federation University, NSW 2000, Australia;5. Geotechnical and Tunnels Division, Land Transport Authority, 219428, Singapore;1. Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China;2. State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, China;1. Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634, USA;2. National Central University, Jhongli City, Taoyuan County 32001, Taiwan, ROC;3. Trinity Foundation Engineering Consultants, Co., Ltd., Taipei, Taiwan, ROC;1. Key Laboratory of New Technology for Construction of Cities in Mountain Area, Chongqing University, Ministry of Education, Chongqing 400045, China;2. School of Civil Engineering, Chongqing University, Chongqing 400045, China;3. School of Civil and Environmental Engineering, Nanyang Technological University, 639798, Singapore;4. School of Mechanical and Aerospace Engineering, Nanyang Technological University, 639798, Singapore;5. IIIBIT-Sydney, Federation University, NSW 2000, Australia;1. Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau, China;2. School of Civil Engineering, Shandong Jianzhu University, Jinan City, Shandong, China
Abstract:This paper presents an efficient Bayesian back-analysis procedure for braced excavations using wall deflection data at multiple points. Response surfaces obtained from finite element analyses are adopted to efficiently evaluate the wall responses. Deflection data for 49 wall sections from 11 case histories are collected to characterize the model error of the finite element method for evaluating the deflections at various points. A braced excavation project in Hang Zhou, China is chosen to illustrate the effectiveness of the proposed procedure. The results indicate that the soil parameters could be updated more significantly for the updating that uses the deflection data at multiple points than that only uses the maximum deflection data. The predicted deflections from the updated parameters agree fairly well with the field observations. The main significance of the proposed procedure is that it improves the updating efficiency of the soil parameters without adding monitoring effort compared with the traditional method that uses the maximum deflection data.
Keywords:Bayesian updating  Braced excavation  Response surface method  Wall deflection data  Markov chain Monte Carlo method  Finite element analysis
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