Deep long short-term memory networks for nonlinear structural seismic response prediction R Zhang, Z Chen, S Chen, J Zheng, O Büyüköztürk, H Sun Computers & Structures 220, 55-68, 2019 | 431 | 2019 |
Physics-guided convolutional neural network (PhyCNN) for data-driven seismic response modeling R Zhang, Y Liu, H Sun Engineering Structures 215, 110704, 2020 | 375 | 2020 |
Physics-informed multi-LSTM networks for metamodeling of nonlinear structures R Zhang, Y Liu, H Sun Computer Methods in Applied Mechanics and Engineering 369, 113226, 2020 | 366 | 2020 |
Shake table real‐time hybrid simulation techniques for the performance evaluation of buildings with inter‐story isolation R Zhang, BM Phillips, S Taniguchi, M Ikenaga, K Ikago Structural Control and Health Monitoring 24 (10), e1971, 2017 | 74 | 2017 |
Attention-based LSTM (AttLSTM) neural network for seismic response modeling of bridges Y Liao, R Lin, R Zhang, G Wu Computers & Structures 275, 106915, 2023 | 65 | 2023 |
Performance and protection of base-isolated structures under blast loading R Zhang, BM Phillips Journal of Engineering Mechanics 142 (1), 04015063, 2016 | 65 | 2016 |
Sparse Bayesian learning for structural damage identification Z Chen, R Zhang, J Zheng, H Sun Mechanical systems and signal processing 140, 106689, 2020 | 48 | 2020 |
Real-time hybrid simulation of a shear building with a uni-axial shake table R Zhang, PV Lauenstein, BM Phillips Engineering Structures 119, 217-229, 2016 | 31 | 2016 |
Spatiotemporal deep learning for bridge response forecasting R Zhang, L Meng, Z Mao, H Sun Journal of Structural Engineering 147 (6), 04021070, 2021 | 30 | 2021 |
Machine learning approach for sequence clustering with applications to ground-motion selection R Zhang, J Hajjar, H Sun Journal of Engineering Mechanics 146 (6), 04020040, 2020 | 30 | 2020 |
Rate-independent linear damping for the improved seismic performance of inter-story isolated structures A Keivan, R Zhang, D Keivan, BM Phillips, M Ikenaga, K Ikago Journal of Earthquake Engineering 26 (2), 793-816, 2022 | 22 | 2022 |
Attention mechanism based neural networks for structural post-earthquake damage state prediction and rapid fragility analysis Y Chen, Z Sun, R Zhang, L Yao, G Wu Computers & Structures 281, 107038, 2023 | 18 | 2023 |
Cyber-physical structural optimization using real-time hybrid simulation R Zhang, BM Phillips, PL Fernández-Cabán, FJ Masters Engineering Structures 195, 113-124, 2019 | 14 | 2019 |
Cyber‐physical approach to the optimization of semiactive structural control under multiple earthquake ground motions R Zhang, BM Phillips Computer‐Aided Civil and Infrastructure Engineering 34 (5), 402-414, 2019 | 11 | 2019 |
Numerical study on the benefits of base isolation for blast loading R Zhang, BM Phillips 6th international conference on advances in experimental structural …, 2015 | 7 | 2015 |
A frequency-based ground motion clustering approach for data-driven surrogate modeling of bridges Y Liao, R Zhang, G Wu, H Sun Journal of Engineering Mechanics 149 (9), 04023069, 2023 | 5 | 2023 |
Structural seismic resilience evaluation through real-time hybrid simulation with online learning neural networks J Wu, R Zhang, BM Phillips International Journal of Lifecycle Performance Engineering 4 (1-3), 184-214, 2020 | 4 | 2020 |
Artificial Specimen Damping for Substructure Real-Time Hybrid Simulation R Zhang, B Phillips Journal of Engineering Mechanics, 2017 | 4 | 2017 |
Deep learning enabled seismic fragility evaluation of structures subjected to mainshock-aftershock earthquakes S He, Y Liao, PP Sun, R Zhang Urban Lifeline 2 (1), 2, 2024 | 3 | 2024 |
A stacked residual LSTM network for nonlinear seismic response prediction of bridges L Yu-chen, Z Rui-yang, LIN Rong, Z Zhou-hong, WU Gang 工程力学 39, 1-12, 2022 | 3 | 2022 |