Skip to main navigation Skip to search Skip to main content

基于Copula函数的主余震地震动强度参数相关性分析

Translated title of the contribution: Copula-Based Correlation Analysis of Intensity Measures of Mainshock-Aftershock Ground Motions
  • Rui Guang Zhu
  • , Da Gang Lü*
  • *Corresponding author for this work
  • Yanshan University
  • School of Civil Engineering, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

This study selects 662 mainshock-aftershock (MS-AS) ground motions from PEER NGA-West2 ground motion database, to analyze the correlation of the intensity measures (IMs) among the MS-AS ground motions. The correlation coefficients of these IMs among the MS-AS ground motions are calculated, and their optimal probability models are determined according to the K-S test, the AIC criterion and the BIC criterion. Meanwhile, the AIC criterion and the BIC criterion are used to determine the optimal copula functions among the MS-AS ground motion IMs, and their joint distributions are built based on the copula functions. On this basis, the conditional distribution and the conditional mean of the aftershock ground motion IMs are obtained, given those of the mainshock. The results show that: the significant duration has the highest correlation amongst the 34 selected IMs, the joint distributions can be built using the Copula function with reasonable accuracy, and the Copula conditional mean can be used to predict the IMs of the aftershock ground motions, given the IMs of the mainshock ground motions.

Translated title of the contributionCopula-Based Correlation Analysis of Intensity Measures of Mainshock-Aftershock Ground Motions
Original languageChinese (Traditional)
Pages (from-to)114-123
Number of pages10
JournalGongcheng Lixue/Engineering Mechanics
Volume36
Issue number2
DOIs
StatePublished - Feb 2019
Externally publishedYes

Fingerprint

Dive into the research topics of 'Copula-Based Correlation Analysis of Intensity Measures of Mainshock-Aftershock Ground Motions'. Together they form a unique fingerprint.

Cite this