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Multivariate Joint Probability Function of Earthquake Ground Motion Prediction Equations Based on Vine Copula Approach
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-14
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In the structural earthquake engineering, a single parameter is often not sufficient enough to depict the severity of ground motions, and it is thus necessary to use multiple ones.
In this sense, the correlation among multiple parameters is generally considered as an importance issue.
The conventional approach for developing the correlation is based on regression analysis, along with simple pair copula approaches proposed in recent years.
In this study, an innovative mathematical technique—vine copula—is firstly introduced to develop the empirical model for the multivariate dependence of pseudospectral accelerations (PSAs), which are the most commonly used earthquake ground motion parameters.
This advancement not only offers a more flexible way of describing nonlinear dependence among multivariate PSAs from the marginal distribution functions but also highlights the extreme dependence.
The results can be conventionally acquired in the ground motion selection and seismic risk and loss assessment based on multivariate parameters.
American Psychological Association (APA)
Cheng, Yin& Du, Jun& Ji, Hao. 2020. Multivariate Joint Probability Function of Earthquake Ground Motion Prediction Equations Based on Vine Copula Approach. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1193427
Modern Language Association (MLA)
Cheng, Yin…[et al.]. Multivariate Joint Probability Function of Earthquake Ground Motion Prediction Equations Based on Vine Copula Approach. Mathematical Problems in Engineering No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1193427
American Medical Association (AMA)
Cheng, Yin& Du, Jun& Ji, Hao. Multivariate Joint Probability Function of Earthquake Ground Motion Prediction Equations Based on Vine Copula Approach. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1193427
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193427