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Multi-level conditional spectrum-based record selection for IDA

Mohsen Kohrangi, Dimitrios Vamvatsikos and Paolo Bazzurro
Multi-level conditional spectrum-based record selection for IDA
Earthquake Spectra (November 2020) 36 (4): 1976-1994

Abstract

Incremental dynamic analysis (IDA) is widespread to evaluate the seismic response of structures. It employs one records set scaled to multiple intensity levels (IMLs) to estimate the structural response distribution. However, the dominating earthquake scenarios differ with the intensity, and a single set introduces bias that increases with scaling. The response is, however, better estimated using multiple stripe analysis (MSA) by selecting multiple hazard consistent record sets at different IMLs via, for example, conditional spectrum (CS) method. Still, IDA remains a popular tool, and would benefit from a single "good" set that would be more amenable to scaling with minimal bias. We explore alternatives of a "multi-level" CS (CSML) scheme, whereby the seismic properties of multiple IMLs are combined to derive a single set. Combined with advanced IMs, CSML provides a viable trade-off between the more accurate and complex method of CS-MSA versus the conceptually and practically simpler IDA.


ISSN: 8755-2930
EISSN: 1944-8201
Serial Title: Earthquake Spectra
Serial Volume: 36
Serial Issue: 4
Title: Multi-level conditional spectrum-based record selection for IDA
Affiliation: Risk Engineering & Development, Pavia, Italy
Pages: 1976-1994
Published: 202011
Text Language: English
Publisher: Earthquake Engineering Research Institute, Berkeley, CA, United States
References: 42
Accession Number: 2021-010087
Categories: SeismologyEngineering geology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 1 table
Secondary Affiliation: National Technical University of Athens, GRC, GreeceScuola Universitaria Superiore IUSS Pavia, ITA, Italy
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2021, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 202103
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