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Earthquake Spectra 27, pp. 797-815 (2011); doi:http://dx.doi.org/10.1193/1.3608002

A Computationally Efficient Ground-Motion Selection Algorithm for Matching a Target Response Spectrum Mean and Variance

Nirmal Jayaram, Ting Lin, and Jack W. Baker

Dept. of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305-4020, USA

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Dynamic structural analysis often requires the selection of input ground motions with a target mean response spectrum. The variance of the target response spectrum is usually ignored or accounted for in an ad hoc manner, which can bias the structural response estimates. This manuscript proposes a computationally efficient and theoretically consistent algorithm to select ground motions that match the target response spectrum mean and variance. The selection algorithm probabilistically generates multiple response spectra from a target distribution, and then selects recorded ground motions whose response spectra individually match the simulated response spectra. A greedy optimization technique further improves the match between the target and the sample means and variances. The proposed algorithm is used to select ground motions for the analysis of sample structures in order to assess the impact of considering ground-motion variance on the structural response estimates. The implications for code-based design and performance-based earthquake engineering are discussed.

© 2011 Earthquake Engineering Research Institute

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Received 21 April 2010
Accepted 16 July 2010

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8755-2930 (print)  

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