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A new methodology for assessment of the stability of ground-motion prediction equations

Alireza Azarbakht, Sahar Rahpeyma and Mehdi Mousavi
A new methodology for assessment of the stability of ground-motion prediction equations
Bulletin of the Seismological Society of America (June 2014) 104 (3): 1447-1457

Abstract

Selection of an appropriate ground-motion prediction equation (GMPE) is a key element within seismic-hazard analysis (SHA). A new methodology is introduced in this paper in order to assess the stability of GMPEs. The proposed methodology, resampling analysis (RSA), evaluates the sensitivity of GMPEs under a given subset of resampled data. The model bias is calculated in the proposed methodology on the basis of the statistical hypothesis tests for different residual components. Four Next Generation Attenuation models were evaluated in order to investigate their stability by means of statistical RSA within their own databases. The case study results show that some of the considered GMPEs are quite sensitive to their own databases. Hence, the RSA methodology, as a stability criterion, is proposed as a practical tool within the GMPE development and also as an effective and complementary tool for selection of the most appropriate GMPE within an SHA.


ISSN: 0037-1106
EISSN: 1943-3573
Coden: BSSAAP
Serial Title: Bulletin of the Seismological Society of America
Serial Volume: 104
Serial Issue: 3
Title: A new methodology for assessment of the stability of ground-motion prediction equations
Affiliation: Arak University, Department of Civil Engineering, Arak, Iran
Pages: 1447-1457
Published: 201406
Text Language: English
Publisher: Seismological Society of America, Berkeley, CA, United States
References: 36
Accession Number: 2014-051944
Categories: Seismology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 2 tables
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Abstract, Copyright, Seismological Society of America. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 201428
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