论文标题
分辨率不均匀性在大涡模拟中的影响
Effects of resolution inhomogeneity in large-eddy simulation
论文作者
论文摘要
复杂几何形状中湍流的大型涡流模拟通常是使用强烈不均匀分辨率进行的。与分辨率不均匀性相关的问题与过滤和分化运算符的非交通性有关,该操作员将换向术语引入了管理方程。忽略此换向期限会导致换向错误。虽然换向错误是众所周知的,但在实践中通常会忽略它。此外,尚未对过滤器的隐式部分(即对基本离散化的投影)产生的换向误差。在数值投影和分化之间对换向器进行建模对于纠正实际LES设置中的分辨率不均匀引起的误差至关重要,该误差通常仅依赖于隐式过滤。在这里,我们采用多尺度渐近分析来研究换向器的特征。这提供了对换向器的统计描述,该描述可以作为换向器模型的统计特征的目标。此外,我们研究了换向误差如何在模拟中表现出来,并证明了其对通过不均匀网格的一包同质各向同性湍流的对流的影响。在换向误差与基础数字的传播属性之间建立了连接。提出了一种适用于带有过滤器的LE的换向器的建模方法,其中包括对离散解决方案空间的预测,并尊重LES Evolution方程的数值属性。它在解决其他LES建模问题(例如离散误差)方面也可能很有用。
Large Eddy Simulation (LES) of turbulence in complex geometries is often conducted using strongly inhomogeneous resolution. The issues associated with resolution inhomogeneity are related to the noncommutativity of the filtering and differentiation operators, which introduces a commutation term into the governing equations. Neglect of this commutation term gives rise to commutation error. While the commutation error is well recognized, it is often ignored in practice. Moreover, the commutation error arising from the implicit part of the filter (i.e., projection onto the underlying discretization) has not been well investigated. Modeling the commutator between numerical projection and differentiation is crucial for correcting errors induced by resolution inhomogeneity in practical LES settings, which typically rely solely on implicit filtering. Here, we employ a multiscale asymptotic analysis to investigate the characteristics of the commutator. This provides a statistical description of the commutator, which can serve as a target for the statistical characteristics of a commutator model. Further, we investigate how commutation error manifests in simulation and demonstrate its impact on the convection of a packet of homogeneous isotropic turbulence through an inhomogeneous grid. A connection is made between the commutation error and the propagation properties of the underlying numerics. A modeling approach for the commutator is proposed that is applicable to LES with filters that include projections to the discrete solution space and that respects the numerical properties of the LES evolution equation. It may also be useful in addressing other LES modeling issues such as discretization error.