Optimization of Parameter Values in the Turbulence Model Aided by Data Assimilation
Optimization of Parameter Values in the Turbulence Model Aided by Data Assimilation
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DOI:
10.2514/1.j054109
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发表时间:
2016-03
期刊:
影响因子:
2.5
通讯作者:
H. Kato;Keiichi Ishiko;A. Yoshizawa
中科院分区:
文献类型:
--
作者:
H. Kato;Keiichi Ishiko;A. Yoshizawa
This study proposes a data assimilation methodology for estimating the optimal parameter values of turbulence models. The proposed methodology was applied to the estimation of the parameter a1 in the modified Menter k-ω shear-stress transport turbulence model. For this purpose, a fundamental turbulent flow, namely, the flow over a two-dimensional backward-facing step, was employed. The estimated value of a1 (1.0) differed from its original value (i.e., 0.31). The modified Menter k-ω shear-stress transport turbulence model with a1=1.0 was validated on several turbulent flow calculations; flows over a two-dimensional backward-facing step and a two-dimensional flat-plate boundary layer, two-dimensional transonic flows around the RAE 2822 airfoil, and three-dimensional transonic flows around the ONERA M6 wing. In simulations, the modified Menter k-ω shear-stress transport turbulence model with a1=1.0 better modeled the separated and adverse pressure gradient flows than the original modified Menter k-ω shear-s...