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A stochastic model for simulating vertical pulseless near-fault seismic ground motions

Xi Zhong Cui, Yong Xu Liu and Han Ping Hong
A stochastic model for simulating vertical pulseless near-fault seismic ground motions
Bulletin of the Seismological Society of America (December 2021) 112 (2): 961-977

Abstract

The vertical near-fault seismic ground-motion component can cause significant structural deformation and damage, which can be evaluated from time history analysis using actual or synthetic ground-motion records. In this study, we propose a new stochastic model for the vertical pulseless near-fault ground motions that depends on earthquake magnitude, rupture distance, and site condition. The proposed model is developed based on the time-frequency characteristics of 606 selected actual vertical record components in strike-slip earthquakes. The use and validation of the model are presented using simulated records obtained by two simulation techniques. For the validation, the statistics of time-frequency-dependent power spectral acceleration estimated from the simulated records using the proposed stochastic model are compared with those from the actual records and the ground-motion models available in the literature.


ISSN: 0037-1106
EISSN: 1943-3573
Coden: BSSAAP
Serial Title: Bulletin of the Seismological Society of America
Serial Volume: 112
Serial Issue: 2
Title: A stochastic model for simulating vertical pulseless near-fault seismic ground motions
Affiliation: University of Western Ontario, Department of Civil and Environmental Engineering, London, ON, Canada
Pages: 961-977
Published: 20211207
Text Language: English
Publisher: Seismological Society of America, Berkeley, CA, United States
References: 49
Accession Number: 2022-004532
Categories: Seismology
Document Type: Serial
Bibliographic Level: Analytic
Annotation: Includes appendices
Illustration Description: illus. incl. 3 tables
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2022, American Geosciences Institute. Abstract, Copyright, Seismological Society of America. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 202205
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