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Simulation of near-fault ground motions for randomized directivity parameters

Yara Daoud, Mayssa Dabaghi and Armen Der Kiureghian
Simulation of near-fault ground motions for randomized directivity parameters
Earthquake Spectra (February 2022) 38 (1): 432-455

Abstract

The Dabaghi and Der Kiureghian stochastic near-fault ground motion model requires information about the source, site, and source-to-site geometry, including directivity parameters. Directivity parameters entail often unavailable knowledge of the rupture geometry and hypocenter location. This article presents methods to randomize the directivity parameters required to simulate near-fault ground motions. A first procedure is proposed where only the contributing fault, earthquake magnitude, and site location are known. Possible rupture directivity conditions are accounted for by randomizing the rupture geometry and hypocenter location. For this purpose, new predictive models of the rupture geometry parameters are developed for shallow crustal earthquakes with magnitudes between 5.2 and 7.9. To allow validation of synthetic motions with NGA-West2 models, a second procedure randomizes the rupture geometry and both hypocenter and site locations. Results show a general agreement between the two methods.


ISSN: 8755-2930
EISSN: 1944-8201
Serial Title: Earthquake Spectra
Serial Volume: 38
Serial Issue: 1
Title: Simulation of near-fault ground motions for randomized directivity parameters
Affiliation: American University of Beirut, Beirut, Lebanon
Pages: 432-455
Published: 202202
Text Language: English
Publisher: Earthquake Engineering Research Institute, Berkeley, CA, United States
References: 44
Accession Number: 2022-015277
Categories: Seismology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 2 tables
Secondary Affiliation: American University of Armenia, ARM, Armenia
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2022, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 202206
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