An Updated Corner-Frequency Model for Stochastic Finite-Fault Ground-Motion Simulation
KAUST DepartmentPSE Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Embargo End Date2023-01-18
Permanent link to this recordhttp://hdl.handle.net/10754/675039
MetadataShow full item record
AbstractABSTRACT Stochastic finite-fault ground-motion simulation is widely used in various scientific and engineering applications. However, the current theoretical modeling of the corner frequency used in the source spectrum model is problematic as it does not consider the impact of rupture velocity. This article provides a modification of the current corner-frequency modeling and establishes a correlation between corner frequency and rupture velocity, making the source spectrum model more theoretically consistent. An additional inspection of the source-duration model is provided, and the appropriateness of the application of the widely used 1/f0 source-duration model is discussed. A detailed comparison between the updated corner-frequency model and the currently used model (embodied in EXSIM) is provided for various magnitudes. For validation purposes, the updated corner-frequency and source-duration model is applied to predict the ground motions on rock sites during the 2012 ML 5.4 Moe earthquake that occurred in southeastern Australia and the 2014 Ms 6.5 Ludian earthquake that occurred in southwestern China. The results show that the updated model is reliable for providing more accurate estimates of corner frequency, source duration, and ground-motion amplitudes with smaller average residuals than the currently used model.
CitationTang, Y. (2022). An Updated Corner-Frequency Model for Stochastic Finite-Fault Ground-Motion Simulation. Bulletin of the Seismological Society of America. doi:10.1785/0120210205
SponsorsThe author greatly appreciates the guidance and suggestions provided by David Boore for using EXSIM_DMB. The author thanks Trevor Allen from Geoscience Australia, Adam Pascale from Seismology Research Center in Australia, and Ryan Hoult from Université Catholique de Louvain in Belgium for providing the 2012 Moe earthquake recording data, and the Institute of Engineering Mechanics (IEM) in China Earthquake Administration (CEA) for providing the 2014 Ludian earthquake recording data. The author benefits from the communications between Januka Attanayake from The University of Melbourne in Australia to define the Moe earthquake’s source parameters. The author also thanks Chuanbin Zhu from GFZ German Research Centre for Geosciences Potsdam in Germany for sharing his experiences in determining the local site amplification factors. Haifeng Zhao from The University of Melbourne in Australia is acknowledged for his help in preparing Figure 5. The Editor-in-Chief Martin Mai and Associate Editor Arben Pitarka are sincerely acknowledged for taking care of this article during the review process. The two anonymous reviewers are thanked for their thoughtful and constructive comments to improve the quality of this article. This work is supported by the Postdoctoral Office of Guangzhou City, China (Grant Number 62104343).
PublisherSeismological Society of America (SSA)