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基于LHS抽样RSM数据表的边坡可靠度研究

孙开畅 尹志伟 李权 刘林锋

长江科学院院报2018,Vol.35Issue(2):84-88,5.
长江科学院院报2018,Vol.35Issue(2):84-88,5.DOI:10.11988/ckyyb.20161106

基于LHS抽样RSM数据表的边坡可靠度研究

Slope Reliability Research Based on Response Surface Method with Spreadsheeet of Latin Hypercube Sampling

孙开畅 1尹志伟 1李权 1刘林锋1

作者信息

  • 1. 三峡大学水利与环境学院,湖北宜昌443002
  • 折叠

摘要

Abstract

A slope reliability calculation model combining spreadsheet method and Response Surface Method (RSM) based on Latin Hypercube Sampling (LHS) is presented to solve slope reliability issue effectively.In consideration of the uncertainties of strength parameters cohesion c and friction angle Ψ which have significant impact on slope stability,LHS sampling is used to establish random sample points of RSM,and the response values of sample points are obtained based on slide program.By combining the spreadsheet method with the RSM,the reliability index and failure probabilities are solved.With Monte Carlo results as a benchmark reference,a comparison of calculation results for basic two-layer slope model and Tuoba 110 kV substation slope show that the proposed method is of high accuracy,less computational efforts,and higher efficiency,and is of guiding importance for the reliability analysis of practical engineering slope.

关键词

边坡工程/不确定性/可靠指标/LHS/RSM/数据表法

Key words

slope engineering/uncertainty/reliability index/Latin Hypercube Sampling/Response Surface Method/spreadsheet method

分类

建筑与水利

引用本文复制引用

孙开畅,尹志伟,李权,刘林锋..基于LHS抽样RSM数据表的边坡可靠度研究[J].长江科学院院报,2018,35(2):84-88,5.

基金项目

湖北省自然科学基金项目(2012FFA087) (2012FFA087)

长江科学院开放研究基金项目(CKWV2013208/KY) (CKWV2013208/KY)

三峡大学学位论文培优基金项目(2017YPY013) (2017YPY013)

长江科学院院报

OA北大核心CSCDCSTPCD

1001-5485

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