Abstract
Ground-motion amplification factors (GMAFs) are applied to characterize amplification of ground motions propagating from bedrock to ground surface, which are required to construct design response spectrum on ground surface in nuclear industry. To estimate GMAFs by ground response analysis (GRA), appropriate ground motions are required as input motions. This study investigates capabilities of amplitude-scaled and spectrum-matched ground motions to estimate mean GMAFs. It reports that amplitude-scaled motions lead to unbiased estimates of the mean GMAFs. Further investigation shows that, a suite of 5 spectrum-matched motions does not introduce significant bias of the mean GMAFs estimation if soil parameter variabilities are not considered in GRA; however, the bias will remarkably increase when soil parameter variabilities are considered. In addition, this study compares capabilities of spectrum-matched motions generated by different methods to estimate the mean GMAFs. Based on research findings in this study, issues concerning ground motions for GMAFs estimation are discussed.
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Acknowledgements
The research for this study was supported, in part, by the Fundamental Research Funds for the Central Universities (Grant Nos. YJ201824 and 19XJ0077), the Natural Sciences and Engineering Research Council of Canada (NSERC), and University Network of Excellence in Nuclear Engineering (UNENE). We are also very thankful to Dr. Mladen Vucetic from University of California, Los Angeles, for providing us with the results of soil parameters testing on the La Cienega site.
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Li, B., Lu, Y., Pandey, M.D. et al. Evaluation of amplitude-scaled and spectrum-matched motions to estimate ground-motion amplification factors. Bull Earthquake Eng 18, 4659–4679 (2020). https://doi.org/10.1007/s10518-020-00884-2
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DOI: https://doi.org/10.1007/s10518-020-00884-2