A combined Importance Sampling and active learning Kriging reliability method for small failure probability with random and correlated interval variables

Volume: 82, Pages: 101875 - 101875
Published: Jan 1, 2020
Abstract
The existing hybrid reliability analysis (HRA) method (Yang et al., 2015; Zhang et al., 2015; Yang et al., 2015) is found not suitable for estimating small failure probabilities. Meanwhile, the previous ALK-HRA algorithm (ALK-HRA: an active learning HRA method combining Kriging and Monte Carlo simulation) reduces its numerical efficiency when number of uncertain variables increases. Furthermore, the ALK-HRA approach with both random and...
Paper Details
Title
A combined Importance Sampling and active learning Kriging reliability method for small failure probability with random and correlated interval variables
Published Date
Jan 1, 2020
Volume
82
Pages
101875 - 101875
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