Aftershock hazard assessment based on utilization of observed main shock demand

Ziya Muderrisoglu, Ufuk Yazgan

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

This paper presents an aftershock hazard assessment method that is based on taking into account the macroseismic indicators of the main shock observed at the site. The proposed method is referred to as conditional aftershock hazard assessment (CAHA). The essence of the CAHA method is to estimate the aftershock hazard at the site conditioned on the main shock intensity exhibited at that location. This is achieved by exploiting the correlation between the ground motion intensities exhibited during the main shock and the aftershock events. Specifically, the correlation of the epsilons registered for the two events, is utilized. Investigation of the epsilon correlation indicates that highest correlation occurs at the range of periods between 0.8 and 1.0 s. Based on the estimated epsilon correlation, the mean and the dispersion of the aftershock ground motion intensity, are estimated. An application of the proposed method to a set of sites affected by the 2011 Van (Turkey) Mw7.2 earthquake sequence is illustrated. The performance of the method is assessed in comparison with the conventional approaches. For the considered example application, the hazard estimated using the proposed method shows a better agreement with the actual aftershock recordings, compared to the existing approaches.

Original languageEnglish
Pages (from-to)569-586
Number of pages18
JournalEarthquake Spectra
Volume34
Issue number2
DOIs
Publication statusPublished - May 2018

Bibliographical note

Publisher Copyright:
© 2018, Earthquake Engineering Research Institute

Funding

This research is supported and funded by the Scientific and Technological Research Council of Turkey (TUBITAK) for the project Risk of Collapse Based Rating of Damaged Low Rise Reinforced Concrete Frame Buildings Subjected to Aftershock Hazard with project number 213M454. This support is greatly acknowledged. We also would like to thank the reviewers for their helpful and constructive comments.

FundersFunder number
TUBITAK213M454
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

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