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http://dx.doi.org/10.3795/KSME-A.2014.38.6.649

Reliability-Based Design Optimization Considering Variable Uncertainty  

Lim, Woochul (Dept. of Automotive Engineering, College of Engineering, Hanyang Univ.)
Jang, Junyong (Dept. of Automotive Engineering, College of Engineering, Hanyang Univ.)
Kim, Jungho (Technical Center, GM Korea)
Na, Jongho (Technical Center, GM Korea)
Lee, Changkun (Technical Center, GM Korea)
Kim, Yongsuk (Technical Center, GM Korea)
Lee, Tae Hee (Dept. of Automotive Engineering, College of Engineering, Hanyang Univ.)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.38, no.6, 2014 , pp. 649-653 More about this Journal
Abstract
Although many reliability analysis and reliability-based design optimization (RBDO) methods have been developed to estimate system reliability, many studies assume the uncertainty of the design variable to be constant. In practice, because uncertainty varies with the design variable's value, this assumption results in inaccurate conclusions about the reliability of the optimum design. Therefore, uncertainty should be considered variable in RBDO. In this paper, we propose an RBDO method considering variable uncertainty. Variable uncertainty can modify uncertainty for each design point, resulting in accurate reliability estimation. Finally, a notable optimum design is obtained using the proposed method with variable uncertainty. A mathematical example and an engine cradle design are illustrated to verify the proposed method.
Keywords
Variable Uncertainty; Tolerance Information; Akaike Information Criterion; Reliability-Based Design Optimization; Engine Cradle;
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