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Reliability-based design optimization of an automotive structure using a variable uncertainty

Title
Reliability-based design optimization of an automotive structure using a variable uncertainty
Author
이태희
Keywords
Akaike information criterion; body-in-white; engine cradle; reliability-based design optimization; tolerance guide; variable uncertainty
Issue Date
2015-10
Publisher
SAGE PUBLICATIONS LTD
Citation
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, v. 230, NO 10, Page. 1314-1323
Abstract
Reliability-based design optimization is an optimization technique based on the stochastic approach. Many studies using this approach assume the uncertainty in the design variable to be constant. However, when the uncertainty depends on the values of the design variable, this assumption results in the wrong conclusions. Therefore, the uncertainty should be considered as a variable in reliability-based design optimization. The uncertainty in the thickness during optimization, such as the tolerance, had been assumed to be a constant in automotive structures. However, in practice, the tolerance of the thickness depends on the nominal thickness. Hence, in this paper, reliability-based design optimization of an automotive structure such as an engine cradle and a body-in-white with a variable uncertainty is carried out. General Motors Korea provides the tolerance guide which defines the dependence between the nominal thickness and the tolerance. The information is adopted to define the variable uncertainty. Thus, the variable uncertainty can modify the uncertainty with respect to the design point, resulting in an accurate reliability estimation. Finally, reliability-based design optimization with a variable uncertainty is performed using the Akaike information criterion method which determines the fittest distribution of the performance based on the maximum likelihood estimation of the candidate distributions. Consequently, the automotive structures are optimized to reduce the mass while still satisfying the target reliabilities of the performances when considering a variable uncertainty.
URI
http://journals.sagepub.com/doi/10.1177/0954407015606825http://hdl.handle.net/20.500.11754/28257
ISSN
0954-4070; 2041-2991
DOI
10.1177/0954407015606825
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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