RBMDO Using Gaussian Mixture Model-Based Second-Order Mean-Value Saddlepoint Approximation
نویسندگان
چکیده
Actual engineering systems will be inevitably affected by uncertain factors. Thus, the Reliability-Based Multidisciplinary Design Optimization (RBMDO) has become a hotspot for recent research and application in complex system design. The Second-Order/First-Order Mean-Value Saddlepoint Approximate (SOMVSA/FOMVSA) are two popular reliability analysis strategies that widely used RBMDO. However, SOMVSA method can only efficiently when distribution of input variables is Gaussian distribution, which significantly limits its application. In this study, Mixture Model-based Second-Order Approximation (GMM-SOMVSA) introduced to tackle above problem. It integrated with Collaborative (CO) solve RBMDO problems. Furthermore, formula procedure using GMM-SOMVSA-Based CO(GMM-SOMVSA-CO) proposed. Finally, an example given show GMM-SOMVSA-CO method.
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ژورنال
عنوان ژورنال: Cmes-computer Modeling in Engineering & Sciences
سال: 2022
ISSN: ['1526-1492', '1526-1506']
DOI: https://doi.org/10.32604/cmes.2022.020756