4.5 Article

Effect of the spanwise computational domain size on the flow over a two-dimensional bluff body with spanwise periodic perturbations at low Reynolds number

Journal

COMPUTERS & FLUIDS
Volume 183, Issue -, Pages 102-106

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compfluid.2019.01.006

Keywords

Spanwise domain size; Bluff body; Spanwise perturbations; Drag; Lift

Funding

  1. National Research Foundation through the Ministry of Science and ICT [NRF-2017R1A4A1015523, NRF-2014M3C1B1033980]
  2. Ministry of Ocean and Fisheries, South Korea [PMS3740]
  3. National Research Foundation of Korea [2014M3C1B1033980] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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To effectively control the flow over a two-dimensional bluff body, three-dimensional perturbations including spanwise-varying shape modifications and surface actuations have been suggested by previous studies. One of the computational issues is how big the spanwise computational domain size (L-z) should be as compared to the wavelength of these spanwise-varying perturbations (lambda), to accurately estimate the effect of these perturbations. To investigate this issue, we consider three different two-dimensional bluff bodies with spanwise periodic perturbations: wavy square cylinder, wavy circular cylinder, and spanwisevarying blowing and suction on a circular cylinder at Re = 100. The spanwise length scales of largest vortical structures existing in the wake significantly depend on L-z, and they are larger than A, reaching 2 lambda, 3 lambda, and even bigger than or equal to 12 lambda for the cases considered. These largest structures are composed of multiple of elementary vortical structures whose length scales are smaller than or equal to L-z. The amounts of drag reduction by periodic perturbations at L-z > lambda are smaller than those at L-z = lambda, indicating that the computational domain size equal lambda overestimates their performances. (C) 2019 Elsevier Ltd. All rights reserved.

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