Evaluation of ground motion selection and modification procedures using synthetic ground motions |
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Authors: | N. Simon Kwong Anil K. Chopra Robin K. McGuire |
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Affiliation: | 1. Department of Civil and Environmental Engineering, University of California Berkeley, Berkeley, CA, U.S.A.;2. Lettis Consultants International, Inc., Boulder, CO, U.S.A. |
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Abstract: | This study presents a novel approach for evaluating ground motion selection and modification (GMSM) procedures in the context of probabilistic seismic demand analysis. In essence, synthetic ground motions are employed to derive the benchmark seismic demand hazard curve (SDHC), for any structure and response quantity of interest, and to establish the causal relationship between a GMSM procedure and the bias in its resulting estimate of the SDHC. An example is presented to illustrate how GMSM procedures may be evaluated using synthetic motions. To demonstrate the robustness of the proposed approach, two significantly different stochastic models for simulating ground motions are considered. By quantifying the bias in any estimate of the SDHC, the proposed approach enables the analyst to rank GMSM procedures in their ability to accurately estimate the SDHC, examine the sufficiency of intensity measures employed in ground motion selection, and assess the significance of the conditioning intensity measure in probabilistic seismic demand analysis. Copyright © 2015 John Wiley & Sons, Ltd. |
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Keywords: | ground motion selection evaluation of GMSM procedures synthetic ground motions nonlinear response history analysis seismic demand hazard curve benchmark probabilistic seismic demand analysis |
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