Computational Wake Prediction

Computational Wake Prediction is a computational method that models and forecasts the evolution of turbulent wake flows generated by bluff bodies or lifting surfaces in fluid dynamics, distinguishing itself by its reliance on numerical simulations to capture unsteady, three-dimensional vortical structures in contrast to empirical or analytical approaches.

144

Publications

6.1K

Citations

416

Authors

169

Institutions

Publications per year

2017–2026

67

Authors

416

  1. RJ
    R. J. Barthelmie

    Indiana University Bloomington, United States

    4 publications · 114 citations

    4

    h-index

  2. KT
    Kenji Takizawa

    Rice University, United States

    3 publications · 79 citations

    3

    h-index

  3. EY
    E. Y. K. Ng

    Nanyang Technological University, Singapore

    3 publications · 107 citations

    3

    h-index

  4. FP
    Fernando Porté‐Agel

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 299 citations

    3

    h-index

  5. WZ
    Wen Zhong Shen

    Technical University of Denmark, Denmark

    3 publications · 203 citations

    3

    h-index

1–5 of 416

Venues

  1. Renewable Energy

    14 publications · 979 citations

    13

    h-index

  2. 7

    h-index

  3. Energy

    7 publications · 291 citations

    7

    h-index

  4. Journal of Physics Conference Series

    6 publications · 269 citations

    6

    h-index

  5. AIAA Journal

    6 publications · 330 citations

    6

    h-index

1–5