A GENERATION METHOD FOR TURBULENT FLUCTUATION OF WIND VELOCITY AND SCALAR BASED ON CHOLESKY DECOMPOSITION OF TURBULENT FLUXES

  • OKAZE Tsubasa
    Assist. Prof., Dept. of Architecture and Building Science, Graduate School of Engineering, Tohoku University, Ph. D. (Eng.)
  • MOCHIDA Akashi
    Prof., Dept. of Architecture and Building Science, Graduate School of Engineering, Tohoku University, Dr. Eng.

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Other Title
  • 乱流フラックスのコレスキー分解によるスカラー変動を含む変動風生成法の開発
  • 乱流フラックスのコレスキー分解によるスカラー変動を含む変動風生成法の開発 : スカラー変動を考慮したLESのための流入変動風の生成(その1)
  • ランリュウ フラックス ノ コレスキー ブンカイ ニ ヨル スカラー ヘンドウ オ フクム ヘンドウフウ セイセイホウ ノ カイハツ : スカラー ヘンドウ オ コウリョ シタ LES ノ タメ ノ リュウニュウ ヘンドウフウ ノ セイセイ(ソノ 1)
  • Generation of inflow turbulence including scalar fluctuation for LES Part 1
  • スカラー変動を考慮したLESのための流入変動風の生成 その1

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Abstract

This paper aims to propose a new method to generate turbulent fluctuations of wind velocity and scalar such as temperature and pollutant based on the Cholesky decomposition of time-averaged turbulent fluxes tensor of momentum and scalar. The artificially generated turbulent fluctuations satisfy not only the prescribed profiles of turbulent fluxes of wind and scalar but also the prescribed spatial and time correlations. Following the method proposed by Xie and Castro (2008), two-dimensional random data are filtered to generate a set of two-dimensional data with the prescribed spatial correlation. Then, these data are combined with those from previous time step by using two weighting factors based on an exponential function. The method was validated by applying it to a LES computation of contaminant dispersion in a half channel flow.

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