LIF: A new Kriging based learning function and its application to structural reliability analysis

• Published in: Reliability engineering & system safety Vol. 157; pp. 152 - 165
• Main Authors: Sun, Zhili, Wang, Jian, Li, Rui, Tong, Cao
• Format: Journal Article
• Language: English
• Published: Barking Elsevier Ltd 01.01.2017; Elsevier BV
• Subjects: Computer simulation; Design of experiment; Failure; Failure analysis; Kriging interpolation; Kriging meta-model; Learning; Learning function; Least improvement function; Markov analysis; Markov chains; Mathematical models; Monte Carlo simulation; Probability density functions; Reliability; Reliability analysis; Reliability engineering; Structural behavior; Structural reliability; Least improvement function; Structural reliability; Learning function; Kriging meta-model; Design of experiment

The main task of structural reliability analysis is to estimate failure probability of a studied structure taking randomness of input variables into account. To consider structural behavior practically, numerical models become more and more complicated and time-consuming, which increases the difficu...