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Detailed Investigation of Detached-Eddy Simulation for the Flow Past a Circular Cylinder at Re=3900

  • Rui ZhaoEmail author
  • Jia Liu
  • Chao Yan
Part of the Notes on Numerical Fluid Mechanics and Multidisciplinary Design book series (NNFM, volume 117)

Abstract

The flow past a circular cylinder at a subcritical Reynolds number of Re=3900 was simulated by the method of detached-eddy simulation (DES). The objective of this present work is not to investigate the physical phenomena of the flow in detail but to study modeling as well as numerical aspects which influence the quality of DES solutions. Firstly, four typical spanwise lengths (D, 2D, πD/2 and πD, D the diameter of the cylinder) are chosen and the results are systematically compared. The trend of DES results along the span increment is different from previous large-eddy simulation (LES) investigation. DES method is more sensitive to the spanwise length and a wider spanwise length does not necessary improve the results. Then, the factor of mesh resolution is studied. Three kinds of grids, namely coarse, medium and refined, are adopted and the results show that both too coarse and over refined grids will deteriorate the performance of DES. The reason lies in the construction of DES employing the function of the distance to walls and grid spacing. Finally, different orders of numerical schemes are applied in the inviscid fluxes and the viscous terms. The discrepancies among different schemes are found tiny. However, the instantaneous flow structures produced by 5th order WENO with 4th order central differencing scheme are much richer than the others. That is, for the time-averaged quantities, the second-order accurate schemes are effective enough, whereas the higher-order accurate methods are needed to resolve the transient characteristics of the flow.

Keywords

Circular Cylinder AIAA Paper Refined Grid Viscous Term WENO Scheme 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.National Laboratory for Computational Fluid DynamicsBeijing University of Aeronautics and AstronauticsBeijingP.R. China

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