Hybrid Reynolds-Averaged/Large-Eddy Simulation Methodology from Symbolic Regression: Formulation and Application
Hybrid Reynolds-Averaged/Large-Eddy Simulation Methodology from Symbolic Regression: Formulation and Application
复制标题
符号回归的混合雷诺平均/大涡模拟方法：公式与应用
DOI：
10.2514/1.j055378
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发表时间：
2017
期刊：
影响因子：
2.5
通讯作者：
R. Sandberg
中科院分区：
文献类型：
--
作者：
Jack Weatheritt;R. Sandberg
提出了一种基于数据驱动方法构建的统一混合雷诺平均纳维 - 斯托克斯/大涡模拟封闭模型。这是一种构建此类模型的新方法，没有施加约束。对直接数值模拟数据进行滤波，并利用已解能量与未解能量之比来拟合统一框架的理想长度尺度阻尼函数。这项研究表明使用高保真数据的可行性，不仅用于先验测试，还用于完整创建低保真方法。除了物理模型外，还提出了一种与之匹配良好的对流方案。这种数值方案确保为阻尼湍流模型提供适当的稳定性与准确性之比。此外，一个附加函数保证大涡模拟模式仅在有旋流中起作用。然后将这种混合封闭模型应用于两个具有可靠参考数据且在工业上相关但非常不同的几何形状。周期性山丘测试……
A unified hybrid Reynolds-averaged Navier–Stokes/large-eddy simulation closure is presented that is built from data-driven methods. This is a novel way to construct such models that does not impose constraints. Direct numerical simulation data is filtered, and the ratio of resolved to unresolved energy is used to fit an ideal length scale damping function for the unified framework. This study shows the viability of using high-fidelity data, not just for a priori testing but for the complete creation of lower-fidelity methods. Alongside the physical model, a convection scheme is proposed that marries well to it. This numerical scheme ensures that the damped turbulence model is provided the appropriate ratio of stability to accuracy. Furthermore, an additional function guarantees that the large-eddy simulation mode is only active in vortical flow. This hybrid closure is then applied to two industrially relevant yet very different geometries for which reliable reference data exist. The periodic hills test ca...
影响因子：
4.6
作者：
Kaneda, Y;Ishihara, T;Uno, A
通讯作者：
Uno, A