Numerical integration method for computing reliability index of geotechnical system

NCUIR > Engineering College > Department of Civil Engineering > journal & Dissertation > Item 987654321/100484

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/100484

Title:	Numerical integration method for computing reliability index of geotechnical system
Authors:	莊長賢;Gong, Wenping;Juang, C. Hsein;Martin, James R.
Contributors:	工學院土木工程學系
Keywords:	Computation;Cumulative distribution function;Design analysis;Design engineering;drilled shaft;Geotechnics;Mathematical analysis;Mathematical models;Monte Carlo simulation;Numerical integration;reliability index;retaining wall;Sand
Date:	2016-04-02
Issue Date:	2026-04-21 14:04:14 (UTC+8)
Publisher:	Taylor and Francis Ltd.;Taylor & Francis
Abstract:	摘要： To account for the uncertainties in the design of a geotechnical system, reliability-based design approach is often adopted, in which the main task is to evaluate reliability index of the system based on a performance function (or limit state function). In this paper, we propose a new method for computing the reliability index, based upon the numerical integration of the cumulative distribution function (CDF) of the performance function. This numerical integration method requires only a deterministic evaluation of the system performance and the joint probability of the uncertain input parameters. The effectiveness and the efficiency of the proposed method, measured in terms of the accuracy and the computational effort, respectively, are demonstrated with two geotechnical problems: a drilled shaft in sand and a semi-gravity retaining wall. The new method is found valid regardless of the type of distribution of uncertain input parameters, whether the correlations exist among these input parameters, whether the system involves single or multiple failure modes, and how the performance function is formulated. 出版者： Taylor & Francis 出版日期： 2016-04-02 出處： Georisk, 2016-04, Vol.10 (2), p.109-120 版權： 2015 Taylor & Francis 2015 識別號： ISSN: 1749-9518 識別號： EISSN: 1749-9526 識別號： DOI: 10.1080/17499518.2015.1102292
Appears in Collections:	[Department of Civil Engineering] journal & Dissertation

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