4.7 Article

A reliability analysis method based on analytical expressions of the first four moments of the surrogate model of the performance function

Journal

MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 111, Issue -, Pages 47-67

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2018.03.060

Keywords

Analytical solution of failure probability; Bayesian Monte Carlo; First four moments; Fourth-moment method; Gaussian processes

Funding

  1. Natural Science Foundation of China [51475370, 51775439]

Ask authors/readers for more resources

For efficiently and accurately analyzing the reliability of structure, the analytical expressions of the first four moments of output are deduced by the Bayesian Monte Carlo method, on which the analytical failure probability can be directly obtained by employing the existing high-order moment standardization technique and the Edgeworth expansion. By use of the proposed procedure, the failure probability of structure can be estimated by an analytical expression without introducing additional errors. Also, only the training points are needed to gain the analytical expressions of the first four moments. Several examples involving numerical test and engineering application are introduced to illustrate the accuracy and the efficiency of the proposed method for reliability analysis of structure. (C) 2018 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available