The well-trained Kriging model can efficiently and accurately recognize the failure samples in the sample pool, on which the augmented failure probability and ...
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An efficient method based on AK-MCS for estimating failure probability function ; Journal: Reliability Engineering & System Safety, 2020, p. 106975.
Efficient computational method based on AK-MCS and Bayes formula for time-dependent failure probability function. Language: English; Authors: Feng, Kaixuan1 ( ...
To estimate the failure probability, Echard et al. [23] developed an adaptive learning method based on Kriging and MCS (named AK-MCS). This approach uses the U- ...
Jan 13, 2023 · An efficient method for estimating failure possibility function by combining adaptive Kriging model with augmented fuzzy simulation.
Efficient computational method based on AK-MCS and Bayes formula for time-dependent failure probability function · Engineering, Computer Science. Structural and ...
The proposed method greatly reduces the computational cost while ensuring the accuracy. Finally, four examples are given to validate the proposed AK-MCS + GPF.
Dec 8, 2020 · In this paper, we propose an extreme version of AK-MCS [1], called eAK-. MCS, in order to evaluate very small failure probabilities. It consists ...
An efficient method based on AK-MCS for estimating failure probability function ... An efficient method for estimating fuzzy failure probability-based global ...
We propose a method able to deal with cases characterized by multiple failure regions, possibly very small failure probability pf (say ∼10âˆ'6âˆ'10âˆ'9), and ...