Structural reliability analysis using a hybrid HDMR-ANN method

• Published in: Journal of Central South University Vol. 24; no. 11; pp. 2532 - 2541
• Main Authors: Jha, Bhaw Nath, Li, Hong-shuang
• Format: Journal Article
• Language: English
• Published: Changsha Central South University 01.11.2017; Springer Nature B.V
• Subjects: Approximation; Artificial neural networks; Computer simulation; Engineering; Failure; Limit states; Mathematical models; Metallic Materials; Monte Carlo simulation; Neural networks; Random variables; Reliability analysis; Reliability engineering; Sampling; Structural reliability; structural reliability; artificial neural network; failure probability; high dimensional model representation

A new hybrid method is proposed to estimate the failure probability of a structure subject to random parameters. The high dimensional model representation (HDMR) combined with artificial neural network (ANN) is used to approximate implicit limit state functions in structural reliability analysis. HD...