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contributor authorWu, Hao
contributor authorDu, Xiaoping
date accessioned2022-02-04T22:19:03Z
date available2022-02-04T22:19:03Z
date copyright6/8/2020 12:00:00 AM
date issued2020
identifier issn2332-9017
identifier otherrisk_006_04_041001.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4275326
description abstractThe second-order saddlepoint approximation (SOSPA) has been used for component reliability analysis for higher accuracy than the traditional second-order reliability method (SORM). This work extends the second-order saddlepoint approximation (SPA) to system reliability analysis. The joint distribution of all the component responses is approximated by a multivariate normal distribution. To maintain high accuracy of the approximation, the proposed method employs the second-order SPA to accurately generate the marginal distributions of the component responses; to simplify computations and achieve high efficiency, the proposed method estimates the covariance matrix of the multivariate normal distribution with the first-order approximation to the component responses. Examples demonstrate the high effectiveness of the second-order SPA method for system reliability analysis.
publisherThe American Society of Mechanical Engineers (ASME)
titleSystem Reliability Analysis With Second-Order Saddlepoint Approximation
typeJournal Paper
journal volume6
journal issue4
journal titleASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
identifier doi10.1115/1.4047217
journal fristpage041001-1
journal lastpage041001-8
page8
treeASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2020:;volume( 006 ):;issue: 004
contenttypeFulltext


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