Journal article
Dimension reduction method for reliability-based robust design optimization
Computers & structures, Vol.86(13), pp.1550-1562
2008
DOI: 10.1016/j.compstruc.2007.05.020
Abstract
In reliability-based robust design optimization (RBRDO) formulation, the product quality loss function is minimized subject to probabilistic constraints. Since the quality loss function is expressed in terms of the first two statistical moments, mean and variance, three methods have been recently proposed to accurately and efficiently estimate the moments: the univariate dimension reduction method (DRM), performance moment integration (PMI) method, and percentile difference method (PDM). In this paper, a reliability-based robust design optimization method is developed using DRM and compared to PMI and PDM for accuracy and efficiency. The numerical results show that DRM is effective when the number of random variables is small, whereas PMI is more effective when the number of random variables is relatively large.
Details
- Title: Subtitle
- Dimension reduction method for reliability-based robust design optimization
- Creators
- Ikjin Lee - Department of Mechanical and Industrial Engineering, College of Engineering, The University of Iowa, Iowa City, IA 52241, United StatesK.K Choi - Department of Mechanical and Industrial Engineering, College of Engineering, The University of Iowa, Iowa City, IA 52241, United StatesLiu Du - Department of Mechanical and Industrial Engineering, College of Engineering, The University of Iowa, Iowa City, IA 52241, United StatesDavid Gorsich - US Army RDECOM/TARDEC AMSRD-TAR-N, MS 157, 6501 East 11 Mile Road, Warren, MI 48397-5000, United States
- Resource Type
- Journal article
- Publication Details
- Computers & structures, Vol.86(13), pp.1550-1562
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/j.compstruc.2007.05.020
- ISSN
- 0045-7949
- eISSN
- 1879-2243
- Language
- English
- Date published
- 2008
- Academic Unit
- Mechanical Engineering
- Record Identifier
- 9984064231502771
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