Towards systematic grid selection in LES: Identifying the optimal spatial resolution by minimizing the solution sensitivity
Towards systematic grid selection in LES: Identifying the optimal spatial resolution by minimizing the solution sensitivity
复制标题
LES 中的系统网格选择:通过最小化解灵敏度来确定最佳空间分辨率
DOI:
10.1016/j.compfluid.2020.104488
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发表时间:
2020
影响因子:
2.8
通讯作者:
Larsson, Johan
中科院分区:
文献类型:
--
作者:
Toosi, Siavash;Larsson, Johan
A method for finding a nearly optimal computational grid or, more generally, filter-width distribution for a large eddy simulation is proposed and assessed. The core idea is that the optimal resolution (or coarse-graining length scale, or filter-width, or grid spacing) for LES is the coarsest resolution for which the LES solution is sufficiently accurate and exhibits minimal sensitivity to the resolution. This idea is formulated based on an error indicator that measures the dependence of the solution on the grid/filter as a residual term in the governing equation and a criterion that determines how that error indicator should vary in space and direction to minimize the overall sensitivity of the solution. The final definition of the error indicator becomes very similar to the divergence of the error in the Germano identity, with its derivation offering an alternative explanation for the success of the dynamic procedure. Furthermore, the solution to the optimization problem of grid/filter-width adaptation is that the cell-integrated error indicator should be equi-distributed; a corollary is that one cannot link the accuracy in LES to quantities that are not cell-integrated, including the common belief that LES is accurate whenever 80-90% of the energy is resolved. The full method is tested on wall-resolved LES of turbulent channel flow and the flow over a backward-facing step, with final length scale fields (or filter-width fields, or grids) that are close to what is considered “best practice” in the LES literature.
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影响因子:
2.5
作者:
T. Brandt
通讯作者:
T. Brandt
DOI:
10.1007/978-1-4020-8578-9_11
发表时间:
2008
期刊:
Tellus A: Dynamic Meteorology and Oceanography
影响因子:
--
作者:
M. Klein;J. Meyers;B. Geurts
通讯作者:
B. Geurts
影响因子:
3.7
作者:
J. Gullbrand;F. Chow
通讯作者:
F. Chow
DOI:
10.1007/978-3-030-04915-7_20
发表时间:
2019
期刊:
Direct and Large-Eddy Simulation XI
影响因子:
--
作者:
M. Klein;G. Scovazzi;M. Germano
通讯作者:
M. Germano
DOI:
10.1063/1.857955
发表时间:
1991-07-01
期刊:
PHYSICS OF FLUIDS A-FLUID DYNAMICS
影响因子:
--
作者:
GERMANO, M;PIOMELLI, U;CABOT, WH
通讯作者:
CABOT, WH