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Risk-based seismic design for optimal structural and nonstructural system performance

Hugo A. Rojas, Christopher Foley and Shahram Pezeshk
Risk-based seismic design for optimal structural and nonstructural system performance
Earthquake Spectra (August 2011) 27 (3): 857-880

Abstract

An automated performance-based design methodology to optimize structural and nonstructural system performance is outlined and it is shown that it can be used to enhance understanding of structural steel system design for minimum life-cycle costs. Performance is assessed using loss probability with direct economic loss expressed as a percentage of the building replacement cost. Time-based performance assessment is used to compute the expected annual loss of a given steel framing system assuming exposure to three seismic hazard levels. Damage to the structural system, nonstructural displacement-sensitive components, and nonstructural acceleration-sensitive components is characterized using fragility functions. A steel building with three-story, four-bay topology taken from the literature is used to demonstrate application of the algorithm with subsequent comparison of designs obtained using the proposed methodology and others found in the literature.


ISSN: 8755-2930
EISSN: 1944-8201
Serial Title: Earthquake Spectra
Serial Volume: 27
Serial Issue: 3
Title: Risk-based seismic design for optimal structural and nonstructural system performance
Affiliation: CH2M Hill, Englewood, CO, United States
Pages: 857-880
Published: 201108
Text Language: English
Publisher: Earthquake Engineering Research Institute, Berkeley, CA, United States
References: 50
Accession Number: 2021-008191
Categories: SeismologyEngineering geology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 4 tables
Secondary Affiliation: Marquette University, USA, United StatesUniversity of Memphis, USA, United States
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2021, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 2021
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