Journal article
Design potential method for robust system parameter design
AIAA journal, Vol.39(4), pp.667-677
2001
DOI: 10.2514/2.1360
Abstract
A novel design potential method that integrates the probabilistic constraint evaluation closely into the design optimization process is presented for robust system parameter design. From a broader perspective, it is shown that the probabilistic constraints can be evaluated using either the conventional reliability index approach or the proposed performance measure approach. The performance measure approach is inherently robust and is more effective when the probabilistic constraint is inactive. The reliability index approach is more effective for the violated probabilistic constraint, but it could yield singularity when the probabilistic constraint is inactive. Moreover, the close coupling of performance probability analysis and design optimization is illustrated in a proposed unified system space. The design potential method, which is developed to take full advantage of the important design information obtained from the previous probabilistic constraint evaluation, can signicantly accelerate the convergence of the reliability-based design optimization process.
Details
- Title: Subtitle
- Design potential method for robust system parameter design
- Creators
- Jian Tu - General Motors Research and Development Center, Warren, Michigan 48090, United StatesKyung K CHOI - University of Iowa, Iowa City, Iowa 52242, United StatesYoung H PARK - New Mexico State University, Las Cruces, New Mexico 88003, United States
- Resource Type
- Journal article
- Publication Details
- AIAA journal, Vol.39(4), pp.667-677
- Publisher
- American Institute of Aeronautics and Astronautics; Reston, VA
- DOI
- 10.2514/2.1360
- ISSN
- 0001-1452
- eISSN
- 1533-385X
- Language
- English
- Date published
- 2001
- Academic Unit
- Mechanical Engineering
- Record Identifier
- 9984064233902771
Metrics
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