American Society of Civil Engineers (ASCE);Reston, VA: American Society of Civil Engineers
摘要:
摘要： AbstractA Bayesian framework using field observations for back-analysis and updating of soil parameters in a multistage braced excavation is presented. Because of the uncertainties originating from the poorly known soil parameters, the imperfect analysis model, and other factors such as construction variability, the soil parameters can only be inferred as probability distributions. In this paper, these posterior distributions are derived using the Markov chain Monte Carlo (MCMC) sampling method implemented with the Metropolis-Hastings algorithm. In the proposed framework, Bayesian updating is first realized with one type of response observation (maximum wall deflection or maximum settlement), and then this Bayesian framework is extended to allow for simultaneous use of two types of response observations in the updating. The proposed framework is illustrated with a quality excavation case and shown effective regardless of the prior knowledge of soil parameters and type of response observations adopted. 出版者： Reston, VA: American Society of Civil Engineers 出版日期： 2013-03-01 出處： Journal of Geotechnical and Geoenvironmental Engineering, 2013-03, Vol.139 (3), p.395-406 資源來源： EBSCOhost Academic Search Premier 版權： 2013 American Society of Civil Engineers. 版權： 2014 INIST-CNRS 識別號： ISSN: 1090-0241 識別號： EISSN: 1943-5606 識別號： DOI: 10.1061/(ASCE)GT.1943-5606.0000782
