Reliability-based robust geotechnical design of braced excavations considering multiple failure modes

作     者：Li Hong Xiangyu Wang Wengang Zhang 

作者机构：School of Civil EngineeringChongqing UniversityChongqing 400045China Key Laboratory of New Technology for Construction of Cities in Mountain AreaChongqing UniversityChongqing 400045China National Joint Engineering Research Center of Geohazards Prevention in the Reservoir AreasChongqing 400045China School of Design and the Built EnvironmentCurtin UniversityBentley 6102Western AustraliaAustralia 

出 版 物：《Underground Space》 (地下空间（英文）)

年 卷 期：2023年第9卷第2期

页      面：43-52页

核心收录：

学科分类：08[工学] 080104[工学-工程力学] 0714[理学-统计学（可授理学、经济学学位）] 0701[理学-数学] 0801[工学-力学（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(Grant No.52078086) Program of Distinguished Young Scholars,Natural Science Foundation of Chongqing,China(Grant No.cstc2020jcyj-jq0087). 

主　　题：Robust geotechnical design Multi-objective optimization Multiple failure modes Genetic algorithm Statistical uncertainty 

摘      要：Reliability design of braced excavation is still a challenge for geotechnical community.Optimization design is a normal method to control the safety and cost of braced excavations.This study presents an advanced reliability-based robust geotechnical design method,which can consider multiple failures and uncertainty of statistical information.A universal design sample was conducted to verify the necessity of considering the uncertainty of statistical information.Ultimate limit state and serviceability limit state of braced excavations were defined,and point estimating method was used to evaluate the standard deviation of failure probabilities.Two-objective and three-objective optimization models were developed to illustrate the application of proposed methods in detail.In addition,the performance of optimization algorithms and further application of multiple-objective models were discussed.The results from this study indicate that the proposed method has a good performance in determining the optimal design with reasonable robustness and cost.New algorithms have higher efficiency in solving nonlinear and multiple-objective optimization problems than the 2nd Non-dominated sorting genetic algo-rithm.This study can guide the design of retaining systems of braced excavations in clay.