A Multifaceted Approach for Safety Design and Probabilistic Optimization

作者：Lin Po Ting^*; Manuel Mark Christian E; Liu Yi Hung; Chou Yu Cheng; Ting Yung; Shyu Shian Shing; Chen Chang Kuo; Lee Chun Lin

来源：Mathematical Problems in Engineering, 2015, 2015: 817820.

DOI：10.1155/2015/817820

Safety design and probabilistic optimization are fields that are widely subject to uncertainty, thus making traditional deterministic methods highly unreliable for these two fields. Popular design optimizations methodswidely used for safety design and probabilistic optimization are the performance measure approach (PMA) and the performance measure approach (RIA). In a problem where the analysis is performed from an infeasible design space, a modified reliability index approach (MRIA) is employed to address some inefficiency of the traditional RIA to be able to find the optimal solutions. The PMA uses an inverse reliability analysis, which is more computationally efficient at finding the most probable design points but has been reported to have numerical instabilities on some cases. In this paper, three benchmark examples were thoroughly studied with various initial points to examine the stability and efficiency of MRIAand PMA. Ahybrid reliability approach (HRA) was then presented after determining a selection factor from the optimum conditions. The proposed HRA aims to determine which of the two optimization methods would be more appropriate during the optimization processes.

• 出版日期2015
• 单位中山大学