A Prediction Method of Ground Motion for Regions without Available Observation Data (LGB-FS) and Its Application to both Yangbi and Maduo Earthquakes in 2021-Reference-Cited by-同舟云学术

A Prediction Method of Ground Motion for Regions without Available Observation Data (LGB-FS) and Its Application to both Yangbi and Maduo Earthquakes in 2021

Published:2022-08 Issue:4 Volume:33 Page:869-884
ISSN:1674-487X
Container-title:Journal of Earth Science
language:en
Short-container-title:J. Earth Sci.

Author:

Chen Jin^ORCID,Tang Hong^ORCID,Chen Wenkai,Yang Naisen

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

https://link.springer.com/content/pdf/10.1007/s12583-021-1560-6.pdf

Reference43 articles.

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2. Abrahamson, N., Silva, W., 2008. Summary of the Abrahamson & Silva NGA Ground-Motion Relations. Earthquake Spectra, 24(1): 67–97. https://doi.org/10.1193/L2924360

3. Akkar, S., Sandıkkaya, M. A., Bommer, J. J., 2014. Empirical Ground-Motion Models for Point- and Extended-Source Crustal Earthquake Scenarios in Europe and the Middle East. Bulletin of Earthquake Engineering, 12(1): 359–387. https://doi.org/10.1007/s10518-013-9461-4

4. Alavi, A. H., Gandomi, A. H., 2011. Prediction of Principal Ground-Motion Parameters Using a Hybrid Method Coupling Artificial Neural Networks and Simulated Annealing. Computers & Structures, 89(23/24): 2176–2194. https://doi.org/10.1016/j.compstruc.2011.08.019

5. Alavi, A. H., Gandomi, A. H., Modaresnezhad, M., et al., 2011. New Ground-Motion Prediction Equations Using Multi Expression Programing. Journal of Earthquake Engineering, 15(4): 511–536. https://doi.org/10.1080/13632469.2010.526752

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