Deep neural network‐based regional seismic loss assessment considering correlation between EDP residuals of building structures-Reference-Cited by-同舟云学术

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Deep neural network‐based regional seismic loss assessment considering correlation between EDP residuals of building structures

Published:2022-11-29 Issue: Volume: Page:
ISSN:0098-8847
Container-title:Earthquake Engineering & Structural Dynamics
language:en
Short-container-title:Earthq Engng Struct Dyn

Author:

Kang Chulyoung¹,Kim Taeyong²^ORCID,Kwon Oh‐Sung²^ORCID,Song Junho³^ORCID

Affiliation:

1. Advanced Structures and Seismic Safety Research Division Korea Atomic Energy Research Institute Daejeon Republic of Korea

2. Department of Civil & Mineral Engineering University of Toronto Toronto Canada

3. Department of Civil & Environmental Engineering Seoul National University Seoul Republic of Korea

Funder

Kementerian Pendidikan

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eqe.3775

Reference42 articles.

1. Uncertainty propagation in probabilistic seismic loss estimation;Baker JW;Struct Saf,2008

2. A critical examination of seismic response uncertainty analysis in earthquake engineering;Bradley BA;Earthquake Eng Struct Dyn,2013

3. BC Hydro Ground Motion Prediction Equations for Subduction Earthquakes;Abrahamson NA;Earthq Spectra,2016

4. Ground‐motion prediction equations for the average horizontal component of PGA, PGV and 5% damped SA at spectral periods between 0.1 s and 10s;Boore DM;Earthq Spectra,2008

5. NGA ground motion model for the geometric mean horizontal component of PGA, PGV, PGD and 5% damped linear elastic response spectra for periods ranging from 0.01 to 10 s;Campbell K;Earthq Spectra,2008

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