Gradient-based design robustness measure for robust geotechnical design

NCUIR > Engineering College > Department of Civil Engineering > journal & Dissertation > Item 987654321/99922

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/99922

Title:	Gradient-based design robustness measure for robust geotechnical design
Authors:	莊長賢;Gong, Wenping;Khoshnevisan, Sara;Juang, C. Hsein
Contributors:	工學院土木工程學系
Keywords:	analyse de fiabilit�;Byproducts;concept robuste;Design engineering;Design factors;Design optimization;Earth sciences;Earth, ocean, space;Engineering and environment geology. Geothermics;Engineering design;Engineering geology;Engineering research;Exact sciences and technology;fondation peu profonde;Geotechnics;Geotechnology;gradient;indice de sensibilit�;Measuring instruments;Noise;Noise factor;optimisation;optimization;Pareto front;Performance evaluation;principe de Pareto;reliability analysis;robust design;Robustness;Safety;Safety engineering;sensitivity index;shallow foundation;Tradeoff analysis
Date:	2014-01-01
Issue Date:	2026-04-21 13:41:23 (UTC+8)
Publisher:	National Research Council of Canada;Ottawa, ON: NRC Research Press
Abstract:	摘要： This paper presents a gradient-based robustness measure for robust geotechnical design (RGD) that considers safety, design robustness, and cost efficiency simultaneously. In the context of robust design, a design is deemed robust if the system response of concern is insensitive, to a certain degree, to the variation of noise factors (i.e., uncertain geotechnical parameters, loading parameters, construction variation, and model biases or errors). The key to a robust design is a quantifiable robustness measure with which the robust design optimization can be effectively and efficiently implemented. Based on the developed gradient-based robustness measure, a robust design optimization framework is proposed. In this framework, the design (safety) constraint is analyzed using advanced first-order second-moment (AFOSM) method, considering the variation in the noise factors. The design robustness, in terms of sensitivity index (SI), is evaluated using the normalized gradient of the system response to the noise factors, which can be efficiently computed from the by-product of AFOSM analysis. Within the proposed framework, robust design optimization is performed with two objectives, design robustness and cost efficiency, while the design (safety) constraint is satisfied by meeting a target reliability index. Generally, cost efficiency and design robustness are conflicting objectives and the robust design optimization yields a Pareto front, which reveals a tradeoff between the two objectives. Through an illustrative example of a shallow foundation design, the effectiveness and significance of this new robust design approach is demonstrated. 出版者： Ottawa, ON: NRC Research Press 出版日期： 2014-11-01 出處： Canadian geotechnical journal, 2014-11, Vol.51 (11), p.1331-1342 版權： 2015 INIST-CNRS 版權： COPYRIGHT 2014 NRC Research Press 版權： Copyright Canadian Science Publishing NRC Research Press Nov 2014 識別號： ISSN: 0008-3674 識別號： EISSN: 1208-6010 識別號： DOI: 10.1139/cgj-2013-0428 識別號： CODEN: CGJOAH
Appears in Collections:	[Department of Civil Engineering] journal & Dissertation

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