Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/90159
Title: A procedure to select ground-motion time histories for deterministic seismic hazard analysis from the Next Generation Attenuation (NGA) database
Authors: Huang, Duruo
Du, Wenqi
Zhu, Hong
Keywords: DRNTU::Science::Geology
Ground Motion
Seismic Hazard
Issue Date: 2017
Source: Huang, D., Du, W., & Zhu, H. (2017). A procedure to select ground-motion time histories for deterministic seismic hazard analysis from the Next Generation Attenuation (NGA) database. Natural Hazards and Earth System Sciences, 17(10), 1725-1739. doi:10.5194/nhess-17-1725-2017
Series/Report no.: Natural Hazards and Earth System Sciences
Abstract: In performance-based seismic design, ground-motion time histories are needed for analyzing dynamic responses of nonlinear structural systems. However, the number of ground-motion data at design level is often limited. In order to analyze seismic performance of structures, ground-motion time histories need to be either selected from recorded strong-motion database or numerically simulated using stochastic approaches. In this paper, a detailed procedure to select proper acceleration time histories from the Next Generation Attenuation (NGA) database for several cities in Taiwan is presented. Target response spectra are initially determined based on a local ground-motion prediction equation under representative deterministic seismic hazard analyses. Then several suites of ground motions are selected for these cities using the Design Ground Motion Library (DGML), a recently proposed interactive ground-motion selection tool. The selected time histories are representatives of the regional seismic hazard and should be beneficial to earthquake studies when comprehensive seismic hazard assessments and site investigations are unavailable. Note that this method is also applicable to site-specific motion selections with the target spectra near the ground surface considering the site effect.
URI: https://hdl.handle.net/10356/90159
http://hdl.handle.net/10220/47236
ISSN: 1561-8633
DOI: 10.5194/nhess-17-1725-2017
Rights: © 2017 Author(s). This work is distributed under the Creative Commons Attribution 3.0 License.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ICRM Journal Articles

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