A deep learning approach to rapid regional post‐event seismic damage assessment using time‐frequency distributions of ground motions-Reference-Cited by-同舟云学术

A deep learning approach to rapid regional post‐event seismic damage assessment using time‐frequency distributions of ground motions

Published:2021-01-05 Issue:6 Volume:50 Page:1612-1627
ISSN:0098-8847
Container-title:Earthquake Engineering & Structural Dynamics
language:en
Short-container-title:Earthquake Engng Struct Dyn.

Author:

Lu Xinzheng¹^ORCID,Xu Yongjia¹^ORCID,Tian Yuan¹^ORCID,Cetiner Barbaros²,Taciroglu Ertugrul²

Affiliation:

1. Key Laboratory of Civil Engineering Safety and Durability of Ministry of Education, Department of Civil Engineering Tsinghua University Beijing P.R. China

2. Department of Civil and Environmental Engineering University of California Los Angeles California USA

Publisher

Wiley

Subject

Earth and Planetary Sciences (miscellaneous),Geotechnical Engineering and Engineering Geology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eqe.3415

Reference77 articles.

1. China News Service.The number of deaths in Mianyang city due to the earthquake was nearly 16 000.2020.http://www.chinanews.com/gn/news/2008/05-21/1256776.shtml. Accessed April 1 2020.

2. Improving the Accuracy of near Real-Time Seismic Loss Estimation using Post-Earthquake Remote Sensing Images

3. PAGER ‐ rapid assessment of an earthquake's impact;Wald DJ;Fact Sheet,2010

4. European Commission.Global disaster alert and coordination system (GDACS).2020.http://www.gdacs.org/. Accessed December 22 2020.

5. DemirciogluMB ErdikM HancilarU et al.ELER v3.0: Technical Manual and Users Guide.2020.https://eqe.boun.edu.tr/en/eler-tool. Accessed August 1 2020.

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