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In turbulent channel flows, traditional Detached Eddy Simulation (DES) methods suffer from significant deficiencies in capturing detailed turbulent structures due to the improper allocation of modeling scales. DDES models fail to accurately predict the streamwise mean velocity and are prone to the problem of logarithmic layer mismatch. Although IDDES provides some improvements, it still shows considerable discrepancies in the prediction of second-order statistical quantities. As an improved hybrid approach, the Wall-Modelled Hybrid RANS-LES (WM-HRL) framework addresses this limitation by employing a predefined partitioning strategy to rationally allocate modeling scales between RANS and LES regions. This study systematically investigates the performance of the WM-HRL model in turbulent channel flow and compares its results with those obtained from DDES, IDDES, and direct numerical simulation (DNS) data. The findings demonstrate that the WM-HRL model can more accurately predict near-wall turbulent structures and Reynolds stress distributions, effectively overcoming the limitations of traditional DES methods in the near-wall region.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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