一种面向多保真Kriging模型结构可靠性分析的主动学习方法OA

A structural reliability method was proposed based on multi-fidelity Kriging modeling with active learning,which determined the computational and spatial locations of sample points during each itera-tion through a three-stage selection.Firstly,the optimal set of sample points was determined by ensemble multiple learning functions.Secondly,the computational locations of the sample points were determined by the proposed BES(beneficial effect strategy).Finally,the spatial locations of the sample points were deter-mined from the optimal set of sample points by applying Bootstrap sampling method.The effectiveness and efficiency of the method was demonstrated by two numerical examples and one practical engineering ex-ample.Compared with the current advanced multi-fidelity model structure reliability method,when the fi-delity of the model is lower,the computational failure may be effectively avoided,which shows the ad-vanced and better applicability of the method.