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An Efficient Reliability Analysis Method Combining Improved EIF Active Learning Mechanism and Kriging Metamodel
Joint Authors
Li, Weilin
Zhang, Dawei
Wu, Xiaohua
Lv, Xiaofeng
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-08
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Complex implicit performance functions widely exist in many engineering problems.
The reliability analysis of these problems has always been a challenge.
Using surrogate model instead of real performance function is one of the methods to solve this kind of problem.
Kriging is one of the surrogate models with precise interpolation technique.
In order to make the kriging model achieve higher accuracy using a small number of samples, i.e., improve its practicability and feasibility in practical engineering problems, some active learning equations are wildly studied.
Expected improvement function (EIF) is one of them.
However, the EIF has a great disadvantage in selecting the added sample point.
Therefore, a joint active learning mechanism, J-EIF, is proposed to obtain the ideal added point.
The J-EIF active learning mechanism combines the two active learning mechanisms and makes full use of the characters of kriging model.
It overcomes the shortcoming of EIF active learning mechanism in the selection of added sample points.
Then, using Monte Carlo Simulation (MCS) results as a reference, the reliability of two examples is estimated.
The results are discussed showing that the learning efficiency and accuracy of the improved EIF are both higher than those of the traditional EIF.
American Psychological Association (APA)
Zhang, Dawei& Wu, Xiaohua& Li, Weilin& Lv, Xiaofeng. 2018. An Efficient Reliability Analysis Method Combining Improved EIF Active Learning Mechanism and Kriging Metamodel. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1208010
Modern Language Association (MLA)
Zhang, Dawei…[et al.]. An Efficient Reliability Analysis Method Combining Improved EIF Active Learning Mechanism and Kriging Metamodel. Mathematical Problems in Engineering No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1208010
American Medical Association (AMA)
Zhang, Dawei& Wu, Xiaohua& Li, Weilin& Lv, Xiaofeng. An Efficient Reliability Analysis Method Combining Improved EIF Active Learning Mechanism and Kriging Metamodel. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1208010
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208010