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contributor authorHong-Zhong Huang
contributor authorXudong Zhang
date accessioned2017-05-09T00:34:27Z
date available2017-05-09T00:34:27Z
date copyrightMarch, 2009
date issued2009
identifier issn1050-0472
identifier otherJMDEDB-27894#031006_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/141418
description abstractReliability based design optimization has received increasing attention for satisfying high requirements on reliability and safety in structure design. However, in practical engineering design, there are both continuous and discrete design variables. Moreover, both aleatory uncertainty and epistemic uncertainty may associate with design variables. This paper proposes the formulation of random/fuzzy continuous/discrete variables design optimization (RFCDV-DO) and two different approaches for uncertainty analysis (probability/possibility analysis). A method named random/fuzzy sequential optimization and reliability assessment is proposed based on the idea of sequential optimization and reliability assessment to improve efficiency in solving RFCDV-DO problems. An engineering design problem is utilized to demonstrate the approaches and the efficiency of the proposed method.
publisherThe American Society of Mechanical Engineers (ASME)
titleDesign Optimization With Discrete and Continuous Variables of Aleatory and Epistemic Uncertainties
typeJournal Paper
journal volume131
journal issue3
journal titleJournal of Mechanical Design
identifier doi10.1115/1.3066712
journal fristpage31006
identifier eissn1528-9001
keywordsDesign
keywordsOptimization
keywordsCycles
keywordsProbability
keywordsUncertainty
keywordsFailure AND Reliability
treeJournal of Mechanical Design:;2009:;volume( 131 ):;issue: 003
contenttypeFulltext


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