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Cited 12 time in webofscience Cited 13 time in scopus
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Nonparametric approach for uncertainty-based multidisciplinary design optimization considering limited data

Authors
Cho, Su-gilJang, JunyongKim, ShinyuPark, SanghyunLee, Tae HeeLee, MinukChoi, Jong-SuKim, Hyung-WooHong, Sup
Issue Date
12월-2016
Publisher
SPRINGER
Keywords
Akaike information criterion; Kolmogorov-Smirnov test; Limited data; Nonparametric approach; Reliability-based design optimization; Uncertainty-based multidisciplinary design optimization
Citation
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.54, no.6, pp 1671 - 1688
Pages
18
Journal Title
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
Volume
54
Number
6
Start Page
1671
End Page
1688
URI
https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/643
DOI
10.1007/s00158-016-1540-0
ISSN
1615-147X
1615-1488
Abstract
Uncertainty-based multidisciplinary design optimization (UMDO) has been widely acknowledged as an advanced methodology to address competing objectives and reliable constraints of complex systems by coupling relationship of disciplines involved in the system. UMDO process consists of three parts. Two parts are to define the system with uncertainty and to formulate the design optimization problem. The third part is to quantitatively analyze the uncertainty of the system output considering the uncertainty propagation in the multidiscipline analysis. One of the major issues in the UMDO research is that the uncertainty propagation makes uncertainty analysis difficult in the complex system. The conventional methods are based on the parametric approach could possibly cause the error when the parametric approach has ill-estimated distribution because data is often insufficient or limited. Therefore, it is required to develop a nonparametric approach to directly use data. In this work, the nonparametric approach for uncertainty-based multidisciplinary design optimization considering limited data is proposed. To handle limited data, three processes are also adopted. To verify the performance of the proposed method, mathematical and engineering examples are illustrated.
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