Chapter
Jun 20, 2012

Assessment of Ground Motion Selection and Modification (GMSM) Methods for Non-Linear Dynamic Analyses of Structures

Publication: Geotechnical Earthquake Engineering and Soil Dynamics IV

Abstract

As non-linear response history analyses are becoming more prevalent in practice, there is a need to better understand how the selection and modification (e.g., amplitude scaling or spectrum matching) of records will influence the resulting structural response predictions. There are currently many methods of ground motion selection and modification available, but little guidance is available to engineers on which methods are appropriate for their specific application. The Ground Motion Selection and Modification Program was formed within the Pacific Earthquake Engineering Research (PEER) Center to address this issue. This paper presents the current methodology developed by the Program as well as sample results from the first pilot study completed in 2006. Preliminary results show that for a first-mode-dominated structure, one can improve the prediction of its response by taking into account record properties that are important to the non-linear response of the building when selecting and scaling ground motion records.

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Go to Geotechnical Earthquake Engineering and Soil Dynamics IV
Geotechnical Earthquake Engineering and Soil Dynamics IV
Pages: 1 - 10

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Published online: Jun 20, 2012

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Christine A. Goulet [email protected]
Ph.D. Candidate, Department of Civil and Environmental Engineering, University of California, Los Angeles, CA, 90095. E-mail: [email protected]
Jennie Watson-Lamprey [email protected]
President, Watson-Lamprey Consulting, 1212 32nd St., Oakland, CA 94608. E-mail: [email protected]
Assistant Professor, Stanford University, Stanford, CA, 94305. E-mail: [email protected]
Curt Haselton [email protected]
Assistant Professor, Department of Civil Engineering, California State University Chico, Chico, CA, 95929-0930. E-mail: [email protected]
Research Structural Engineer, United States Geological Survey, PO Box 25046, MS 966, Denver, CO 80225. E-mail: [email protected]

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