Earthq Eng Struct Dyn 人工智能特刊提供免费下载

Part 1

https://onlinelibrary.wiley.com/toc/10969845/2023/52/8

Part 2

https://onlinelibrary.wiley.com/toc/10969845/2023/52/11

为更好的分享和传播地震工程领域与AI交叉的最新学科成果，EESD主编Masayoshi Nakashima教授与Wiley出版社商议后，本次特刊到2023年11月中旬前提供免费下载服务，欢迎大家阅读和交流。

A hybrid non-parametric ground motion model for shallow crustal earthquakes in Europe. Vemula Sreenath, Bhargavi Podili, S. T. G. Raghukanth

Site classification using deep-learning-based image recognition techniques. Kun Ji, Chuanbin Zhu, Saman Yaghmaei-Sabegh, Jianqi Lu, Yefei Ren, Ruizhi Wen

Assessment of ground motion amplitude scaling using interpretable Gaussian process regression: Application to steel moment frames. Jawad Fayaz, Pablo Torres-Rodas, Miguel Medalla, Farzad Naeim

An unsupervised machine learning based ground motion selection method for computationally efficient estimation of seismic fragility. Jinjun Hu, Bali Liu, Lili Xie

Deep learning based seismic response prediction of hysteretic systems having degradation and pinching. Taeyong Kim, Oh-Sung Kwon, Junho Song

Surrogate modeling of structural seismic response using probabilistic learning on manifolds. Kuanshi Zhong, Javier G. Navarro, Sanjay Govindjee, Gregory G. Deierlein

Combination of physics-based and data-driven modeling for nonlinear structural seismic response prediction through deep residual learning. Jia Guo, Ryuta Enokida, Dawei Li, Kohju Ikago

The automated collapse data constructor technique and the data-driven methodology for seismic collapse risk assessment. Nenad Bijelić, Dimitrios G. Lignos, Alexandre Alahi

Reliability analysis of structures using probability density evolution method and stochastic spectral embedding surrogate model. Sourav Das, Solomon Tesfamariam

Deep learning-based evaluation for mechanical property degradation of seismically damaged RC columns. Zenghui Miao, Xiaodong Ji, Minghui Wu, Xiang Gao

Instance segmentation of soft-story buildings from street-view images with semiautomatic annotation. Chaofeng Wang, Sascha Hornauer, Stella X. Yu, Frank McKenna, Kincho H. Law

Three-dimensional fragility surface for reinforced concrete shear walls using image-based damage features. Amir Hossein Asjodi, Kiarash M. Dolatshahi, Henry V. Burton

Story drift and damage level estimation of buildings using relative acceleration responses with multi-target deep learning models under seismic excitation. Jau-Yu Chou, Chieh-Yu Liu, Chia-Ming Chang

Unsupervised machine learning for detecting soil layer boundaries from cone penetration test data. Kenneth S. Hudson, Kristin J. Ulmer, Paolo Zimmaro, Steven L. Kramer, Jonathan P. Stewart, Scott J. Brandenberg

A continuous Bayesian network regression model for estimating seismic liquefaction-induced settlement of the free-field ground. Jilei Hu, Bin Xiong, Zheng Zhang, Jing Wang

Machine learning-based prediction of the seismic response of fault-crossing natural gas pipelines. Wenyang Zhang, Francois Ayello, Doug Honegger, Yousef Bozorgnia, Ertugrul Taciroglu

Machine-learning-based optimization framework to support recovery-based design. Omar Issa, Rodrigo Silva-Lopez, Jack W. Baker, Henry V. Burton

Base-isolation design of shear wall structures using physics-rule-co-guided self-supervised generative adversarial networks. Wenjie Liao, Xinyu Wang, Yifan Fei, Yuli Huang, Linlin Xie, Xinzheng Lu

A deep learning method to monitor axial pressure and shear deformation of rubber bearings under coupled compression and shear loading. Yi Zeng, Zhizhou He, Peng Pan

Collaborative filtering-based collapse fragility assessment. Xingquan Guan, Henry V. Burton

Uncertainty-aware structural damage warning system using deep variational composite neural networks. Kareem A. Eltouny, Xiao Liang

Multi-channel response reconstruction using transformer based generative adversarial network. Wenhao Zheng, Jun Li, Qilin Li, Hong Hao

Geometry-guided semantic segmentation for post-earthquake buildings using optical remote sensing images. Yu Wang, Xin Jing, Yang Xu, Liangyi Cui, Qiangqiang Zhang, Hui Li

Deep neural network-based regional seismic loss assessment considering correlation between EDP residuals of building structures. Chulyoung Kang, Taeyong Kim, Oh-Sung Kwon, Junho Song

Efficient regional seismic risk assessment via deep generative learning of surrogate models. Shanwu Li, Charles Farrar, Yongchao Yang. 

Simulation-based methodology to identify damage indicators and safety thresholds for post-earthquake evaluation of structures. Francisco A. Galvis, Anne M. Hulsey, Jack W. Baker, Gregory G. Deierlein

Generalized stacked LSTM for the seismic damage evaluation of ductile reinforced concrete buildings. Bilal Ahmed, Sujith Mangalathu, Jong-Su Jeon

Seismic damage prediction of RC buildings using machine learning. Sanjeev Bhatta, Ji Dang

陆新征

清华大学土木工程系教授

Henry Burton

加州大学洛杉矶分校（UCLA）

土木与环境工程学院副教授