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A consistent mapping method for turbulence from precursor simulations

delete2026-07-01
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PRE
AI
Y
Yan, Bowen
Y
Yuan, Yangjin
X
Xuhong Zhou
杨
杨青山 (Qingshan Yang) *
J
Jiawei Wan
L
Luca Patruno
D
Danyu Li
DOI:10.1016/j.jweia.2026.106573delete
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Abstract

Abstract

En 中文
Large-eddy simulation (LES) of flow problems subjected to turbulent inflow requires the specification of time-varying velocity fields and other relevant flow variables at the inlet. Precursor simulations are widely used to provide such unsteady inflow data. This study proposes a consistent mapping method (CPSM) for transferring turbulence data from precursor simulations to successor LES on collocated finite-volume grids. The method reconstructs the discretized system coefficients at a virtual interface between the precursor and successor domains, thereby improving the consistency of turbulence propagation. The proposed method was validated using two representative cases: fully developed channel flow and atmospheric boundary layer (ABL) wind-field simulations. The results showed that CPSM preserved turbulence statistics and coherent flow structures more accurately than the traditional direct mapping approach. In the ABL case, the longitudinal turbulence-intensity error associate with the traditional method increased from approximately 23% near the inlet to 38% at x = 0.8L, whereas the error obtained using CPSM remained negligible. In the channel-flow case, the maximum relative errors of fluctuating pressure and vorticity were reduced from approximately 30% and 60% to below 1% and approximately 1.2%, respectively. These results demonstrate that CPSM provides a more consistent and quantitatively accurate turbulence-transfer strategy for successor LES simulations.
Keywords:
Inflow turbulence generation
Mapping method
Large-eddy simulation
Atmospheric boundary layer
Horizontal homogeneity

Journal

Journal of Wind Engineering and Industrial Aerodynamics cover
Journal of Wind Engineering and Industrial Aerodynamics
IF:
4.9
Papers:
5.2K
Citations:
2.2W

Organization

C
chongqing university
Scholars:
2.9K
Papers: 872
Citations: 0
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