Copula-based joint probability function for PGA and CAV: a case study from Taiwan

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題名:	Copula-based joint probability function for PGA and CAV: a case study from Taiwan
作者:	王瑞斌;Xu, Yun;Tang, Xiao-Song;Wang, J. P.;Kuo-Chen, H.
貢獻者:	工學院土木工程學系
關鍵詞:	CAV;copulas;Correlation;Earthquake engineering;Earthquakes;Gaussian;Ground motion;Instrumentation;joint probability function;Mathematical analysis;Mathematical models;PGA
日期:	2016-10-25
上傳時間:	2026-04-21 14:07:37 (UTC+8)
出版者:	John Wiley and Sons Ltd;Bognor Regis: Blackwell Publishing Ltd
摘要:	摘要： Summary This study aims to develop a joint probability function of peak ground acceleration (PGA) and cumulative absolute velocity (CAV) for the strong ground motion data from Taiwan. First, a total of 40,385 earthquake time histories are collected from the Taiwan Strong Motion Instrumentation Program. Then, the copula approach is introduced and applied to model the joint probability distribution of PGA and CAV. Finally, the correlation results using the PGA‐CAV empirical data and the normalized residuals are compared. The results indicate that there exists a strong positive correlation between PGA and CAV. For both the PGA and CAV empirical data and the normalized residuals, the multivariate lognormal distribution composed of two lognormal marginal distributions and the Gaussian copula provides adequate characterization of the PGA‐CAV joint distribution observed in Taiwan. This finding demonstrates the validity of the conventional two‐step approach for developing empirical ground motion prediction equations (GMPEs) of multiple ground motion parameters from the copula viewpoint. Copyright © 2016 John Wiley & Sons, Ltd. 其他題名： Earthquake Engng Struct. Dyn 出版者： Bognor Regis: Blackwell Publishing Ltd 出版日期： 2016-10-25 出處： Earthquake engineering & structural dynamics, 2016-10, Vol.45 (13), p.2123-2136 資源來源： Wiley Online Library 版權： Copyright © 2016 John Wiley & Sons, Ltd. 識別號： ISSN: 0098-8847 識別號： EISSN: 1096-9845 識別號： DOI: 10.1002/eqe.2748 識別號： CODEN: IJEEBG
顯示於類別:	[土木工程學系 ] 期刊論文

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