Real-Time Seismic Damage Prediction and Comparison of Various Ground Motion Intensity Measures Based on Machine Learning-Reference-Cited by-同舟云学术

Real-Time Seismic Damage Prediction and Comparison of Various Ground Motion Intensity Measures Based on Machine Learning

Published:2020-10-05 Issue: Volume: Page:1-21
ISSN:1363-2469
Container-title:Journal of Earthquake Engineering
language:en
Short-container-title:Journal of Earthquake Engineering

Author:

Xu Yongjia¹^ORCID,Lu Xinzheng²^ORCID,Tian Yuan²^ORCID,Huang Yuli²^ORCID

Affiliation:

1. Beijing Engineering Research Center of Steel and Concrete Composite Structures, Tsinghua University, Beijing, China

2. Department of Civil Engineering, Tsinghua University, Beijing, China

Funder

National Key R&D Program

Beijing Natural Science Foundation

Shandong Co-Innovation Center for Disaster Prevention and Mitigation of Civil Structures

Tencent Foundation through the Xplorer Prize

Tsinghua Scholarship for Overseas Graduate Studies

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/13632469.2020.1826371

Reference81 articles.

1. American Society of Civil Engineers (ASCE). 2013. Seismic evaluation and retrofit of existing buildings. ASCE 41-13, Reston, Virginia.

2. American Society of Civil Engineers/Structural Engineering Institute (ASCE/SEI). 2016. Minimum design loads for buildings and other structures. ASCE/SEI 7–16, Reston, Virginia.

3. THE LARGE AREA TELESCOPE ON THEFERMI GAMMA-RAY SPACE TELESCOPEMISSION

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