Abstract：In practical aerospace engineering, due to the high reliability and low failure probability, using the traditional Monte Carlo method to obtain accurate solution needs huge computation. The paper combines Latin Hypercube Sampling and Kriging surrogate model to get the minimum fitting error model by using the EFF learning mechanism for active learning INITIAL Kriging model, then uses Monte Carlo Method for reliability calculation, which greatly reduces the computation. At last, the method is verified by three numerical examples.
翟玮昊, 龚敏浩, 林名润, 匡婷玉, 文珊珊. 基于主动学习的Kriging模型的可靠性分析[J]. 空天防御, 2023, 6(1): 1-5.
ZHAI Weihao, GONG Minhao, LIN Mingrun, KUANG Tingyu, WEN Shanshan. Reliability Analysis Based on Active Learning Kriging Model. Air & Space Defense, 2023, 6(1): 1-5.
