0

DE
EN
FR
Base de données et galerie internationale d'ouvrages d'art et du génie civil

Publicité

Earthquake Engineering and Structural Dynamics - v. 52, n. 11 (juin 2023)

Publié:	juin 2023

Articles dans ce numéro

Auteur(s)	Titre	Page(s)
Lu, Xinzheng / Burton, Henry	AI and data‐driven methods in earthquake engineering – (Part 2)	3197-3200
Liao, Wenjie / Wang, Xinyu / Fei, Yifan / Huang, Yuli / Xie, Linlin / Lu, Xinzheng	Base‐isolation design of shear wall structures using physics‐rule‐co‐guided self‐supervised generative adversarial networks	3281-3303
Guan, Xingquan / Burton, Henry V.	Collaborative filtering‐based collapse fragility assessment	3322-3344
Hu, Jilei / Xiong, Bin / Zhang, Zheng / Wang, Jing	A continuous Bayesian network regression model for estimating seismic liquefaction‐induced settlement of the free‐field ground	3216-3237
Zeng, Yi / He, Zhizhou / Pan, Peng	A deep learning method to monitor axial pressure and shear deformation of rubber bearings under coupled compression and shear loading	3304-3321
Kang, Chulyoung / Kim, Taeyong / Kwon, Oh‐Sung / Song, Junho	Deep neural network‐based regional seismic loss assessment considering correlation between EDP residuals of building structures	3414-3434
Li, Shanwu / Farrar, Charles / Yang, Yongchao	Efficient regional seismic risk assessment via deep generative learning of surrogate models	3435-3454
Ahmed, Bilal / Mangalathu, Sujith / Jeon, Jong‐Su	Generalized stacked LSTM for the seismic damage evaluation of ductile reinforced concrete buildings	3477-3503
Wang, Yu / Jing, Xin / Xu, Yang / Cui, Liangyi / Zhang, Qiangqiang / Li, Hui	Geometry‐guided semantic segmentation for post‐earthquake buildings using optical remote sensing images	3392-3413
Zhang, Wenyang / Ayello, Francois / Honegger, Doug / Bozorgnia, Yousef / Taciroglu, Ertugrul	Machine learning‐based prediction of the seismic response of fault‐crossing natural gas pipelines	3238-3255
Issa, Omar / Silva‐Lopez, Rodrigo / Baker, Jack W. / Burton, Henry V.	Machine‐learning‐based optimization framework to support recovery‐based design	3256-3280
Zheng, Wenhao / Li, Jun / Li, Qilin / Hao, Hong	Multi‐channel response reconstruction using transformer based generative adversarial network	3369-3391
Bhatta, Sanjeev / Dang, Ji	Seismic damage prediction of RC buildings using machine learning	3504-3527
Galvis, Francisco A. / Hulsey, Anne M. / Baker, Jack W. / Deierlein, Gregory G.	Simulation‐based methodology to identify damage indicators and safety thresholds for post‐earthquake evaluation of structures	3455-3476
Eltouny, Kareem A. / Liang, Xiao	Uncertainty‐aware structural damage warning system using deep variational composite neural networks	3345-3368
Hudson, Kenneth S. / Ulmer, Kristin J. / Zimmaro, Paolo / Kramer, Steven L. / Stewart, Jonathan P. / Brandenberg, Scott J.	Unsupervised machine learning for detecting soil layer boundaries from cone penetration test data	3201-3215

Informations
sur cette fiche
IssueID
70278
Publié(e) le:
21.08.2023
Modifié(e) le:
21.08.2023

Publicité

Publicité

Structurae coopère avec

International Association for Bridge and Structural Engineering (IABSE)

e-mosty Magazine

e-BrIM Magazine

Publicité