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Fei Ding

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Kim, Sejin / Ding, Fei / Spence, Seymour M. J. (2024): AI-enabled damage estimation of hurricane-impacted residential communities through CFD simulations and stratified sampling. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 251 (August 2024).

    https://doi.org/10.1016/j.jweia.2024.105806

  2. Zhao, Yue / Liu, Jie / He, Zhelong / Ding, Fei (2023): Rapid dynamic analysis for structures with variable system parameters through multi-fidelity model. In: Computers & Structures, v. 285 (September 2023).

    https://doi.org/10.1016/j.compstruc.2023.107072

  3. Lin, Pengfei / Ding, Fei / Hu, Gang / Li, Chao / Xiao, Yiqing / Tse, K. T. / Kwok, K. C. S. / Kareem, Ahsan (2022): Machine learning-enabled estimation of crosswind load effect on tall buildings. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 220 (January 2022).

    https://doi.org/10.1016/j.jweia.2021.104860

  4. Kareem, Ahsan / Ding, Fei / Wan, Jiawei (2019): Aerodynamic Shape Tailoring of Buildings: A Fusion of CFD, Stochastics, Machine Learning and Beyond. Presented at: IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019.

    https://doi.org/10.2749/newyork.2019.0345

  5. Cid Montoya, Miguel / Nieto, Felix / Hernández, Santiago / Kareem, Ahsan / Ding, Fei (2020): Computational Techniques for Novel Design of Long-Span Bridges Considering Aeroelastic Phenomena. Presented at: Structures Congress 2020, St. Louis, Missouri, USA, 5–8 April 2020 (Conference Cancelled).

    https://doi.org/10.1061/9780784482896.070

  6. Ding, Fei / Kareem, Ahsan (2018): A multi-fidelity shape optimization via surrogate modeling for civil structures. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 178 (July 2018).

    https://doi.org/10.1016/j.jweia.2018.04.022

  7. Ding, Fei / Kareem, Ahsan / Wan, Jiawei (2019): Aerodynamic Tailoring of Structures Using Computational Fluid Dynamics. In: Structural Engineering International, v. 29, n. 1 (January 2019).

    https://doi.org/10.1080/10168664.2018.1522936

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