Recent developments of high-speed railway bridges in China X He, T Wu, Y Zou, YF Chen, H Guo, Z Yu Structure and Infrastructure Engineering 13 (12), 1584-1595, 2017 | 214 | 2017 |
Modeling hysteretic nonlinear behavior of bridge aerodynamics via cellular automata nested neural network T Wu, A Kareem Journal of Wind Engineering and Industrial Aerodynamics 99 (4), 378-388, 2011 | 155 | 2011 |
Wind-induced effects on bluff bodies in turbulent flows: nonstationary, non-Gaussian and nonlinear features A Kareem, T Wu Journal of Wind Engineering and Industrial Aerodynamics 122, 21-37, 2013 | 109 | 2013 |
An overview of vortex-induced vibration (VIV) of bridge decks T Wu, A Kareem Frontiers of Structural and Civil Engineering 6, 335-347, 2012 | 108 | 2012 |
Measurements and analysis of non-stationary wind characteristics at Sutong Bridge in Typhoon Damrey H Wang, T Wu, T Tao, A Li, A Kareem Journal of Wind Engineering and Industrial Aerodynamics 151, 100-106, 2016 | 105 | 2016 |
Bridge aerodynamics and aeroelasticity: A comparison of modeling schemes T Wu, A Kareem Journal of Fluids and Structures 43, 347-370, 2013 | 95 | 2013 |
Comparative study of the wind characteristics of a strong wind event based on stationary and nonstationary models T Tao, H Wang, T Wu Journal of Structural Engineering 143 (5), 04016230, 2017 | 90 | 2017 |
Vortex-induced vibration of bridge decks: a Volterra series based model T Wu, A Kareem Journal of Engineering Mechanics 139 (12), 1831-1843, 2013 | 90 | 2013 |
Linear and nonlinear aeroelastic analysis frameworks for cable-supported bridges T Wu, A Kareem, Y Ge Nonlinear Dynamics 74, 487-516, 2013 | 66 | 2013 |
Nonlinear unsteady bridge aerodynamics: Reduced-order modeling based on deep LSTM networks T Li, T Wu, Z Liu Journal of Wind Engineering and Industrial Aerodynamics 198, 104116, 2020 | 65 | 2020 |
Aerodynamic Stabilization Mechanism of a Twin Box Girder with Various Slot Widths Y Yang, T Wu, Y Ge, A Kareem Journal of Bridge Engineering 20 (3), 04014067, 2014 | 64 | 2014 |
A knowledge‐enhanced deep reinforcement learning‐based shape optimizer for aerodynamic mitigation of wind‐sensitive structures S Li, R Snaiki, T Wu Computer‐Aided Civil and Infrastructure Engineering 36 (6), 733-746, 2021 | 61 | 2021 |
Knowledge-enhanced deep learning for wind-induced nonlinear structural dynamic analysis H Wang, T Wu Journal of Structural Engineering 146 (11), 04020235, 2020 | 59 | 2020 |
Knowledge-enhanced deep learning for simulation of tropical cyclone boundary-layer winds R Snaiki, T Wu Journal of Wind Engineering and Industrial Aerodynamics 194, 103983, 2019 | 54 | 2019 |
A nonlinear convolution scheme to simulate bridge aerodynamics T Wu, A Kareem Computers & Structures 128, 259-271, 2013 | 50 | 2013 |
An efficient analysis framework for high-speed train-bridge coupled vibration under non-stationary winds X He, K Shi, T Wu Structure and Infrastructure Engineering 16 (9), 1326-1346, 2020 | 48 | 2020 |
A linear height-resolving wind field model for tropical cyclone boundary layer R Snaiki, T Wu Journal of Wind Engineering and Industrial Aerodynamics 171, 248-260, 2017 | 47 | 2017 |
Applications of machine learning to wind engineering T Wu, R Snaiki Frontiers in Built Environment 8, 811460, 2022 | 46 | 2022 |
Effect of wind barriers on the flow field and aerodynamic forces of a train–bridge system X He, L Zhou, Z Chen, H Jing, Y Zou, T Wu Proceedings of the Institution of Mechanical Engineers, Part F: Journal of …, 2019 | 46 | 2019 |
On the rain-wind induced in-plane and out-of-plane vibrations of stay cables S Li, Z Chen, T Wu, A Kareem Journal of Engineering Mechanics 139 (12), 1688-1698, 2013 | 46 | 2013 |