An efficient adaptive-loop method for non-probabilistic reliability-based design optimization

摘要: Abstract For non-probabilistic reliability-based design optimization (NRBDO), existing methods cannot satisfy both efficiency and robustness requirements, especially for complex engineering problems. In this study, an efficient adaptive-loop (EAL) method NRBDO is proposed based on improved single loop enhanced chaos control method, aiming to enhance the without sacrifice of numerical stability. The constraint function reconstructed improve reliability analysis. Moreover, a criteria condition defined guarantee rationality rough optimum eliminate redundant constraints. EAL can adaptively switch proper thus high be guaranteed. Nonlinear examples problems are utilized demonstrate effectiveness by comparison with other methods.