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contributor authorMeng, Debiao
contributor authorLi, Yan
contributor authorHuang, Hong
contributor authorWang, Zhonglai
contributor authorLiu, Yu
date accessioned2017-05-09T01:20:53Z
date available2017-05-09T01:20:53Z
date issued2015
identifier issn1050-0472
identifier othermd_137_05_051402.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/158820
description abstractThe Monte Carlo simulation (MCS) can provide high reliability evaluation accuracy. However, the efficiency of the crude MCS is quite low, in large part because it is computationally expensive to evaluate a very small failure probability. In this paper, a subset simulationbased reliability analysis (SSRA) approach is combined with multidisciplinary design optimization (MDO) to improve the computational efficiency in reliabilitybased MDO (RBMDO) problems. Furthermore, the sequential optimization and reliability assessment (SORA) approach is utilized to decouple an RBMDO problem into a sequential of deterministic MDO and reliability evaluation problems. The formula of MDO with SSRA within the framework of SORA is proposed to solve a design optimization problem of a hydraulic transmission mechanism.
publisherThe American Society of Mechanical Engineers (ASME)
titleReliability Based Multidisciplinary Design Optimization Using Subset Simulation Analysis and Its Application in the Hydraulic Transmission Mechanism Design
typeJournal Paper
journal volume137
journal issue5
journal titleJournal of Mechanical Design
identifier doi10.1115/1.4029756
journal fristpage51402
journal lastpage51402
identifier eissn1528-9001
treeJournal of Mechanical Design:;2015:;volume( 137 ):;issue: 005
contenttypeFulltext


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