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Enhancement of Computational Efficiency of Reliability Optimization Method by Approximate Evaluation of Sub-Optimization Problem
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 Title & Authors
Enhancement of Computational Efficiency of Reliability Optimization Method by Approximate Evaluation of Sub-Optimization Problem
Jeong, Do-Hyeon; Lee, Byeong-Chae;
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Alternative computational scheme is presented fur reliability based optimal design using a modified advanced first order second moment (AFOSH) method. Both design variables and design parameters are considered as random variables about their nominal values. Each probability constraint is transformed into a sub -optimization problem and then is resolved with the modified Hasofer- Lind-Rackwitz-Fiessler (HL-RF) method for computational efficiency and convergence. A method of design sensitivity analysis for probability constraint is presented and tested through simple examples. The suggested method is examined by solving several examples and the results are compared with those of other methods.
Reliability Based Optimal Design;Probability Constraint;Sub-optimization Problem;Safely Index;
 Cited by
표준편차의 변동을 고려한 신뢰성 최적설계,임오강;김형욱;최은호;

한국전산구조공학회논문집, 2008. vol.21. 5, pp.413-419
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