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Based on M-Copula Reliability Analysis of Random Load Correlation
Joint Authors
Bin, Huang
Mingdong, Yan
Xiaogang, Liu
Mao, Xiao
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-05
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Load is one of the main causes of structural failure, and the correlation among loads would affect the evaluation results of structural performance.
The purpose of this paper is to analyze the influence of the correlation among multiple loads on the structural reliability.
In this paper, the nonparametric kernel density estimation (NKDE) method is used to estimate the probability density function (PDF) of related loads.
In addition, the mixed copula (M-Copula) model is proposed, which combines Gumbel copula, Frank copula, Clayton copula, and weight coefficient, and the model parameters are fitted by MATLAB software to get the correlation of related loads.
The reliability based on the related load combination is calculated according to the constructed model.
After analyzing three numerical cases, the results show that the probability characteristics of NKDE estimation are very close to the actual conditions, and the reliability calculated by the M-Copula model is larger than those calculated by JCSS, Turkstra, and Gong methods.
Using the M-Copula model for load correlation would avoid underestimating the reliability of the structure, which is conducive to structural economic development.
American Psychological Association (APA)
Bin, Huang& Mingdong, Yan& Xiaogang, Liu& Mao, Xiao. 2020. Based on M-Copula Reliability Analysis of Random Load Correlation. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1193096
Modern Language Association (MLA)
Bin, Huang…[et al.]. Based on M-Copula Reliability Analysis of Random Load Correlation. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1193096
American Medical Association (AMA)
Bin, Huang& Mingdong, Yan& Xiaogang, Liu& Mao, Xiao. Based on M-Copula Reliability Analysis of Random Load Correlation. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1193096
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193096