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Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Wu, Teng / Snaiki, Reda (2022): Applications of Machine Learning to Wind Engineering. In: Frontiers in Built Environment, v. 8 (Februar 2022).

    https://doi.org/10.3389/fbuil.2022.811460

  2. Snaiki, Reda / Wu, Teng (2021): Hurricane risk assessment of offshore wind turbines under changing climate. Vorgetragen bei: IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021.

    https://doi.org/10.2749/ghent.2021.0241

  3. Li, Shaopeng / Snaiki, Reda / Wu, Teng (2021): Active Simulation of Transient Wind Field in a Multiple-Fan Wind Tunnel via Deep Reinforcement Learning. In: Journal of Engineering Mechanics (ASCE), v. 147, n. 9 (September 2021).

    https://doi.org/10.1061/(asce)em.1943-7889.0001967

  4. Li, Shaopeng / Snaiki, Reda / Wu, Teng (2021): A knowledge‐enhanced deep reinforcement learning‐based shape optimizer for aerodynamic mitigation of wind‐sensitive structures. In: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 6 (27 Mai 2021).

    https://doi.org/10.1111/mice.12655

  5. Snaiki, Reda / Wu, Teng (2020): Hurricane Hazard Assessment Along the United States Northeastern Coast: Surface Wind and Rain Fields Under Changing Climate. In: Frontiers in Built Environment, v. 6 (Januar 2020).

    https://doi.org/10.3389/fbuil.2020.573054

  6. Kijewski-Correa, Tracy / Taflanidis, Alexandros / Vardeman, Charles / Sweet, James / Zhang, Jize / Snaiki, Reda / Wu, Teng / Silver, Zachariah / Kennedy, Andrew (2020): Geospatial Environments for Hurricane Risk Assessment: Applications to Situational Awareness and Resilience Planning in New Jersey. In: Frontiers in Built Environment, v. 6 (Januar 2020).

    https://doi.org/10.3389/fbuil.2020.549106

  7. Snaiki, Reda / Wu, Teng (2020): Revisiting hurricane track model for wind risk assessment. In: Structural Safety, v. 87 (November 2020).

    https://doi.org/10.1016/j.strusafe.2020.102003

  8. Snaiki, Reda / Wu, Teng (2020): An analytical model for rapid estimation of hurricane supergradient winds. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 201 (Juni 2020).

    https://doi.org/10.1016/j.jweia.2020.104175

  9. Snaiki, Reda / Wu, Teng (2019): Modeling rain-induced effects on boundary-layer wind field of tropical cyclones. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 194 (November 2019).

    https://doi.org/10.1016/j.jweia.2019.103986

  10. Snaiki, Reda / Wu, Teng (2019): Knowledge-enhanced deep learning for simulation of tropical cyclone boundary-layer winds. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 194 (November 2019).

    https://doi.org/10.1016/j.jweia.2019.103983

  11. Snaiki, Reda / Wu, Teng (2018): A semi-empirical model for mean wind velocity profile of landfalling hurricane boundary layers. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 180 (September 2018).

    https://doi.org/10.1016/j.jweia.2018.08.004

  12. Snaiki, Reda / Wu, Teng (2018): An analytical framework for rapid estimate of rain rate during tropical cyclones. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 174 (März 2018).

    https://doi.org/10.1016/j.jweia.2017.12.014

  13. Snaiki, Reda / Wu, Teng (2017): A linear height-resolving wind field model for tropical cyclone boundary layer. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 171 (Dezember 2017).

    https://doi.org/10.1016/j.jweia.2017.10.008

  14. Snaiki, Reda / Wu, Teng (2017): Modeling tropical cyclone boundary layer: Height-resolving pressure and wind fields. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 170 (November 2017).

    https://doi.org/10.1016/j.jweia.2017.08.005

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