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Correlation and Joint Distribution of Spectral Accelerations of Vertical Ground Motions

  • Xiaolei Wang
  • , Zixu Zhao
  • , Weidong Yan
  • , Dagang Lu
  • , Fei Teng*
  • *Corresponding author for this work
  • Shenyang Jianzhu University
  • Institute of Disaster Prevention Science and Technology
  • School of Civil Engineering, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

This paper estimates a correlation model and joint distribution model of spectral accelerations of vertical ground motions based on the NGA-West2 ground motion database. The correlation model calculated via BC16 vertical GMPE in this study is compared with those published models via other vertical NGA-West2 GMPEs. It is verified that the calculated residuals of vertical ground motions at multiple periods follow the multivariate normal distributions via both a qualitative validation method and a set of quantitative validation methods. The correlation model and the joint distribution model of vertical spectral accelerations are the theoretical basis for research on the joint occurrence of spectral accelerations of vertical ground motions, and an example of applied research on joint occurrence of spectral accelerations of vertical ground motions is studied: the conditional mean spectrum of vertical ground motions. Finally, the effects of different vertical correlation models and ground motion prediction equations on vertical conditional spectra are investigated for wide application of the correlation model and the joint distribution model of spectral accelerations of vertical ground motions.

Original languageEnglish
Pages (from-to)1512-1531
Number of pages20
JournalJournal of Earthquake Engineering
Volume28
Issue number6
DOIs
StatePublished - 2024
Externally publishedYes

Keywords

  • Vertical ground motion
  • conditional mean spectrum
  • correlation coefficient
  • multivariate normal distribution
  • spectral acceleration

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