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Analysis of Empirical Constant of Eddy Viscosity by Zero- and One-Equation Turbulence Model in Wake Simulation

  • Park, Il Heum (School of Marine Technology, Chonnam National University) ;
  • Cho, Young Jun (School of Marine Technology, Chonnam National University) ;
  • Kim, Tae Yun (Office of Environment Assessment, Korea Environment Institute) ;
  • Lee, Moon Ock (School of Marine Technology, Chonnam National University) ;
  • Hwang, Sung Su (School of Marine Technology, Chonnam National University)
  • 투고 : 2014.05.02
  • 심사 : 2014.06.25
  • 발행 : 2014.06.30

초록

In this paper, the wakes behind a square cylinder were simulated using two kinds of different turbulence models for the eddy viscosity concept such as the zero- and the one-equation model in which the former is the mixing length model and the latter is the k-equation model. For comparison between numerical and analytical solutions, we employed three skill assessments: the correlation coefficient(r) for the similarity of the wake shape, the error of maximum velocity difference(EMVD) for the accuracy of wake velocity and the ratio of drag coefficient(RDC) for the pressure distribution around the structure. On the basis of the numerical results, the feasibility of each model for wake simulation was discussed and a suitable value for the empirical constant was suggested in these turbulence models. The zero-equation model, known as the simplest turbulence model, overestimated the EMVD and its absolute mean error(AME) for r, EMVD and RDC was ranging from 20.3 % to 56.3 % for all test. But the AME by the one-equation model was ranging from 3.4 % to 19.9 %. The predicted values of the one-equation model substantially agreed with the analytical solutions at the empirical mixing length scale $L=0.6b_{1/2}$ with the AME of 3.4 %. Therefore it was concluded that the one-equation model was suitable for the wake simulation behind a square cylinder when the empirical constant for eddy viscosity would be properly chosen.

키워드

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피인용 문헌

  1. Analysis of Empirical Constant of Eddy Viscosity by k-ε and RNG k-ε Turbulence Model in Wake Simulation vol.25, pp.3, 2014, https://doi.org/10.7837/kosomes.2019.25.3.344