Optimization of a turbulence model by using data assimilation

Hiroshi Kato, Shigeru Obayashi

研究成果: Conference contribution

抜粋

This research investigates the effectiveness of optimization of the parameter values in the Spalart-Allmaras (SA) turbulence model applied to transonic flows. In the optimization, the ensemble Kalman filter which is one of data assimilation methods was employed. The optimization result showed the followings. The parameter values were estimated to weaken the production term and to enhance the collapse and diffusion terms compared to those of the original values. The simulation with the optimized values predicted the smaller turbulent eddy viscosity, and thus the friction drag was smaller than that with the original values. The computed pressure coefficients with the optimized values were agreed with experiment better than those with the original values.

元の言語English
ホスト出版物のタイトルECCOMAS 2012 - European Congress on Computational Methods in Applied Sciences and Engineering, e-Book Full Papers
ページ1542-1555
ページ数14
出版物ステータスPublished - 2012 12 1
イベント6th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2012 - Vienna, Austria
継続期間: 2012 9 102012 9 14

Other

Other6th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2012
Austria
Vienna
期間12/9/1012/9/14

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Applied Mathematics

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  • これを引用

    Kato, H., & Obayashi, S. (2012). Optimization of a turbulence model by using data assimilation. : ECCOMAS 2012 - European Congress on Computational Methods in Applied Sciences and Engineering, e-Book Full Papers (pp. 1542-1555)