Title :
Product design optimization with simulation-based reliability analysis
Author :
Pan, Rong ; Zhuang, Xiaotian ; Sun, Qing
Author_Institution :
Sch. of Comput., Inf., & Decision Syst. Eng., Arizona State Univ., Tempe, AZ, USA
Abstract :
Evaluating probabilistic constraints plays a very important role in the reliability-based design optimization (RBDO). Traditional Monte Carlo simulation-based approach can provide a high accuracy but with low efficiency. In this paper, a subset simulation-based reliability analysis approach is provided to address the efficiency problem. The method is also compared with the typical MPP-based method.
Keywords :
Monte Carlo methods; optimisation; probability; product design; reliability; simulation; MPP-based method; Monte Carlo simulation-based approach; RBDO; most probable point; probabilistic constraints evaluation; product design optimization; reliability-based design optimization; simulation-based reliability analysis approach; Computational modeling; Design optimization; Probabilistic logic; Reliability; Uncertainty; Vectors; most probable point; reliability-based design optimization; subset simulation;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0786-4
DOI :
10.1109/ICQR2MSE.2012.6246398
