中大學術數位典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/100584
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 94201/94201 (100%)
Visitors : 81575942      Online Users : 3782
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/100584


    Title: Copula-based joint probability function for PGA and CAV: a case study from Taiwan
    Authors: 王瑞斌;Xu, Yun;Tang, Xiao-Song;Wang, J. P.;Kuo-Chen, H.
    Contributors: 工學院土木工程學系
    Keywords: CAV;copulas;Correlation;Earthquake engineering;Earthquakes;Gaussian;Ground motion;Instrumentation;joint probability function;Mathematical analysis;Mathematical models;PGA
    Date: 2016-10-25
    Issue Date: 2026-04-21 14:07:37 (UTC+8)
    Publisher: John Wiley and Sons Ltd;Bognor Regis: Blackwell Publishing Ltd
    Abstract: 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
    Appears in Collections:[Department of Civil Engineering] journal & Dissertation

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML29View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明