Teng Wu

PhD

Teng Wu.

Teng Wu

PhD

Teng Wu

PhD

Research Topics

Wind Engineering; Hurricane Engineering; Structural Engineering; Bridge Engineering; Nonlinear/Transient Aerodynamics; Performance-Based Wind Design; Community Resilience; Climate Change; Computational Fluid Dynamics; Reduced-Order Modeling; Knowledge-Enhanced Machine Learning.

Biography Publications Teaching Research Awards
  • Li, S. and Wu, T.*, 2023. A Risk-Informed Decision-Support Framework for Optimal Operation of Hurricane-Impacted Transportation Networks. ASCE Natural Hazards Review, 24(3), 04023018.
  • Li, T. and Wu, T.*, 2023. Modeling Nonlinear Flutter Behavior of Long-Span Bridges using Knowledge-Enhanced Long Short-Term Memory Network. Computer-Aided Civil and Infrastructure Engineering, 38(11), 1504-1519.
  • Li, S. and Wu, T.*, 2022. Deep Reinforcement Learning-Based Decision Support System for Transportation Infrastructure Management under Hurricane Events. Structural Safety, 99, 102254.
  • Wu, T.* and Snaiki, R., 2022. Applications of Machine Learning to Wind Engineering. Frontiers in Built Environment-Wind Engineering and Science, 8, 811460. (Invited Paper)
  • Wang, H. and Wu, T.*, 2022. Statistical Investigation of Wind Duration using a Refined Hurricane Track Model. Journal of Wind Engineering and Industrial Aerodynamics, 221, 104908.
  • Li, S., Snaiki, R. and Wu, T.*, 2021. Active Simulation of Transient Wind Field in a Multiple-Fan Wind Tunnel via Deep Reinforcement Learning. ASCE Journal of Engineering Mechanics, 147(9), 04021056.
  • Li, S., Snaiki, R. and Wu, T.*, 2021. A Knowledge-Enhanced Deep Reinforcement Learning-Based Shape Optimizer for Aerodynamic Mitigation of Wind-Sensitive Structures. Computer-Aided Civil and Infrastructure Engineering, 36, 733-746.
  • Wang, H. and Wu, T.*, 2021. Fast Hilbert-Wavelet-based Simulation of Nonstationary Wind Field using Non-Iterative Simultaneous Matrix Diagonalization. ASCE Journal of Engineering Mechanics, 147(3), 04020153.
  • Snaiki, R. and Wu, T.*, 2020. Hurricane Hazard Assessment along the U.S. Northeastern Coast: Surface Wind and Rain Fields under Changing Climate. Frontiers in Built Environment-Wind Engineering and Science, 6, 573054.
  • Snaiki, R. and Wu, T.*, 2020. Revisiting Hurricane Track Model for Wind Risk Assessment. Structural Safety, 87, 102003.