土木与环境工程学报（中英文）2024，Vol.46Issue(3)：52-60,9.DOI:10.11835/j.issn.2096-6717.2023.043
基于贝叶斯方法的软土深基坑不确定性位移反演分析
Probabilistic method for displacement back analysis of deep excavations in soft soil based on Bayesian method
摘要
Abstract
In deep foundation excavation projects,using reasonable soil mechanical parameters to calculate the lateral deformation of diaphragm wall is essential to optimize the support design and reduce engineering risks.However,the soil parameters are generally affected by the uneven distribution and geotechnical testing errors,which often show obvious uncertainties and reduce the credibility of the lateral deformation calculated of diaphragm walls.In view of the considerations above,this paper proposes a back analysis method of soil parameters based on Bayesian parameter updating framework and site monitoring data.This method uses GA-BP neural network to establish the implicit function relationship between the soil parameters and the diaphragm wall lateral displacement in the numerical model,and combines the site monitoring data to establish the Bayesian back analysis model of the soil parameters.This method was used to analyze a deep excavation project,and the feasibility of the method was verified.The maximum lateral displacement and multi-point displacement value of the diaphragm wall were used as indicators to invert the soil mechanical parameters,and the updated soil parameters were used to predict the final lateral displacement.The results show that compared with the non-updating soil parameters,the variation coefficient of soil parameters decreases after updating,and the obtained results fit with the monitoring results better in the subsequent construction steps;the prediction effect of using multi-point observations for soil parameter updating is significantly better than that when only the maximum displacement value is used.关键词
深基坑/土体参数/位移反分析/贝叶斯方法/马尔科夫链蒙特卡罗模拟Key words
deep foundation excavation/soil paraneter/displacement back analysis/Bayesian method/Markov Chain Monte Carlo Simulation(MCMCS)分类
建筑与水利引用本文复制引用
林东,郑俊杰,薛鹏鹏,李子骞,彭荣华..基于贝叶斯方法的软土深基坑不确定性位移反演分析[J].土木与环境工程学报（中英文）,2024,46(3):52-60,9.基金项目
中铁第四勘察设计院集团有限公司科研课题(2020K144) Scientific Research Items of China Railway SiYuan Group(No.2020K144) （2020K144）
