Journal article
Reliability-based design optimization with confidence level under input model uncertainty due to limited test data
Structural and multidisciplinary optimization, Vol.43(4), pp.443-458
04/2011
DOI: 10.1007/s00158-011-0620-4
Abstract
For obtaining a correct reliability-based optimum design, the input statistical model, which includes marginal and joint distributions of input random variables, needs to be accurately estimated. However, in most engineering applications, only limited data on input variables are available due to expensive testing costs. The input statistical model estimated from the insufficient data will be inaccurate, which leads to an unreliable optimum design. In this paper, reliability-based design optimization (RBDO) with the confidence level for input normal random variables is proposed to offset the inaccurate estimation of the input statistical model by using adjusted standard deviation and correlation coefficient that include the effect of inaccurate estimation of mean, standard deviation, and correlation coefficient.
Details
- Title: Subtitle
- Reliability-based design optimization with confidence level under input model uncertainty due to limited test data
- Creators
- Yoojeong Noh - Department of Mechanical & Industrial Engineering, College of Engineering The University of Iowa Iowa City IA 52242 USAK Choi - Department of Mechanical & Industrial Engineering, College of Engineering The University of Iowa Iowa City IA 52242 USAIkjin Lee - Department of Mechanical & Industrial Engineering, College of Engineering The University of Iowa Iowa City IA 52242 USADavid Gorsich - US Army RDECOM/TARDEC Warren MI 48397-5000 USADavid Lamb - US Army RDECOM/TARDEC Warren MI 48397-5000 USA
- Resource Type
- Journal article
- Publication Details
- Structural and multidisciplinary optimization, Vol.43(4), pp.443-458
- Publisher
- Springer-Verlag; Berlin/Heidelberg
- DOI
- 10.1007/s00158-011-0620-4
- ISSN
- 1615-147X
- eISSN
- 1615-1488
- Language
- English
- Date published
- 04/2011
- Academic Unit
- Mechanical Engineering
- Record Identifier
- 9984064223002771
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