Efficient slope reliability and sensitivity analysis using quantile-based first-order second-moment method

作     者：Zhiyong Yang Chengchuan Yin Xueyou Li Shuihua Jiang Dianqing Li Zhiyong Yang;Chengchuan Yin;Xueyou Li;Shuihua Jiang;Dianqing Li

作者机构：School of Civil EngineeringSun Yat-Sen UniversityZhuhaiChina Southern Marine Science and Engineering Guangdong LaboratoryZhuhaiChina School of Infrastructure EngineeringNanchang UniversityNanchang330031China State Key Laboratory of Water Resources and Hydropower Engineering ScienceInstitute of Engineering Risk and Disaster PreventionWuhan UniversityWuhan430072China 

出 版 物：《Journal of Rock Mechanics and Geotechnical Engineering》 (岩石力学与岩土工程学报（英文）)

年 卷 期：2024年第16卷第10期

页      面：4192-4203页

核心收录：

学科分类：08[工学] 080104[工学-工程力学] 0815[工学-水利工程] 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 Nos.52109144 52025094 and 52222905) 

主　　题：Slope reliability Sensitivity analysis Quantile First-order second-moment method(FOSM) First-order reliability method(FORM) 

摘      要：This paper introduces a novel approach for parameter sensitivity evaluation and efficient slope reliability analysis based on quantile-based first-order second-moment method(QFOSM).The core principles of the QFOSM are elucidated geometrically from the perspective of expanding *** on this geometric interpretation,the QFOSM is further extended to estimate sensitivity indices and assess the significance of various uncertain parameters involved in the slope *** proposed method has the advantage of computational simplicity,akin to the conventional first-order second-moment method(FOSM),while providing estimation accuracy close to that of the first-order reliability method(FORM).Its performance is demonstrated with a numerical example and three slope *** results show that the proposed method can efficiently estimate the slope reliability and simultaneously evaluate the sensitivity of the uncertain *** proposed method does not involve complex optimization or iteration required by the *** can provide a valuable complement to the existing approximate reliability analysis methods,offering rapid sensitivity evaluation and slope reliability analysis.