基于自助抽样法与少量试验数据的边坡可靠性分析  

Reliability Analysis for Slope with Bootstrap and limited Data

作　　者：王栋 WANG Dong(Shaanxi Railway and Underground Traffic Engineering Key Laboratory(FSDI),Xi’an 710043,China)

机构地区：[1]陕西省铁道及地下交通工程重点实验室(中铁一院),西安710043

出　　处：《铁道建筑》2020年第8期106-110,共5页Railway Engineering

基　　金：国家重点研发计划(2018YFC1504904)。

摘　　要：针对岩土参数数据有限导致边坡可靠度分析结果不准确这一问题,本文提出利用自助抽样法量化小样本数据导致的参数估计不确定性,并结合蒙特卡洛方法量化岩土参数小样本数据下边坡可靠度评估的准确性。结果表明,当岩土参数试验数据大于等于5个时,所提方法可以有效解决上述问题。Aiming at the problem of inaccurate slope reliability analysis results due to limited geotechnical parameterdata,this paper proposed to use bootstrapping method to quantify the uncertainty of parameter estimation caused bysmall sample data,and combined Monte Carlo method to quantify the accuracy of slope reliability evaluation undersmall sample data of geotechnical parameters.The results show that the proposed method can effectively solve the aboveproblems,when the test data of geotechnical parameters is greater than or equal to five.

关 键 词：边坡 统计不确定性 模型试验 边坡稳定性 可靠度分析 

分 类 号：U212.13[交通运输工程—道路与铁道工程]