Reliability analysis and design considering disjointed active failure regions
Wang, Pingfeng Cui, Xiao-Long
Wang, Pingfeng
Cui, Xiao-Long
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2016
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Conference paper
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Keywords
Polynomial chaos expansion,Dimension-reduction method,Multidimensional integration,Stochastic mechanics,EDR method,Decomposition
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Citation
Wang, Pingfeng; Cui, Xiaolong. 2016. Reliability analysis and design considering disjointed active failure regions. ASME 2015 International Mechanical Engineering Congress and Exposition, vol. 11: Systems, Design, and Complexity Houston, Texas, USA, November 13–19, 2015
Abstract
Failure of practical engineering systems could be induced by several correlated failure modes, and consequently reliability analysis are conducted with multiple disjointed failure regions in the system random input space. Problems with disjointed failure regions create a great challenge for existing reliability analysis approaches due to the discontinuity of the system performance function between these regions. This paper presents a new enhanced Monte Carlo simulation (EMCS) approach for reliability analysis and design considering disjointed failure regions. The ordinary Kriging method is adopted to construct surrogate model for the performance function so that Monte Carlo simulation (MCS) can be used to estimate the reliability. A maximum failure potential based sampling scheme is developed to iteratively search failure samples and update the Kriging model. Two case studies are used to demonstrate the efficacy of the proposed methodology.
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Publisher
American Society of Mechanical Engineers
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ASME 2015 International Mechanical Engineering Congress and Exposition;vol.11