An approximate deconvolution model for large-eddy simulation with application to incompressible wall-bounded flows
An approximate deconvolution model for large-eddy simulation with application to incompressible wall-bounded flows
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DOI：
10.1063/1.1350896
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发表时间：
2001-03
影响因子：
4.6
通讯作者：
S. Stolz;N. Adams;L. Kleiser
中科院分区：
文献类型：
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作者：
S. Stolz;N. Adams;L. Kleiser
本文详细介绍了不可压流动大涡模拟的近似解卷积模型（ADM），并将其应用于槽道湍流。利用这种方法，通过重复滤波获得未滤波解的近似。如果对非滤波解有一个很好的近似，则滤波Navier-Stokes方程的非线性项可以直接计算。非代表尺度的影响是由松弛正则化涉及二次滤波器操作建模。在雷诺数Reτ=180和Reτ=590的条件下，对不可压槽道流动进行了大涡模拟。这两种模拟比较以及与直接数值模拟（DNS）的数据，并显示出显着的改善与经典的亚网格尺度模型，如标准或动态Smagorinsky模型得到的结果。ADM的计算成本低于动态模型或速度估计模型。
The approximate deconvolution model (ADM) for the large-eddy simulation of incompressible flows is detailed and applied to turbulent channel flow. With this approach an approximation of the unfiltered solution is obtained by repeated filtering. Given a good approximation of the unfiltered solution, the nonlinear terms of the filtered Navier–Stokes equations can be computed directly. The effect of nonrepresented scales is modeled by a relaxation regularization involving a secondary filter operation. Large-eddy simulations are performed for incompressible channel flow at Reynolds numbers based on the friction velocity and the channel half-width of Reτ=180 and Reτ=590. Both simulations compare well with direct numerical simulation (DNS) data and show a significant improvement over results obtained with classical subgrid scale models such as the standard or the dynamic Smagorinsky model. The computational cost of ADM is lower than that of dynamic models or the velocity estimation model.