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A priori tests of large eddy simulation of the compressible plane mixing layer

机译:可压缩平面混合层大涡模拟的先验检验

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摘要

Three important aspects for the assessment of the possibilities of Large Eddy Simulation (LES) of compressible flow are investigated. In particular the magnitude of all subgrid-terms, the role of the discretization errors and the correlation of the turbulent stress tensor with several subgrid-models are studied. The basis of the investigation is a Direct Numerical Simulation (DNS) of the two- and three-dimensional compressible mixing layer, using a finite volume method on a sufficiently fine grid. With respect to the first aspect, the exact filtered Navier-Stokes equations are derived and all terms are classified according to their order of magnitude. It is found that the pressure dilatation subgrid-term in the filtered energy equation, which is usually neglected in the modelling-practice, is as large as e.g. the pressure velocity subgrid-term, which in general is modelled. The second aspect yields the result that second- and fourth-order accurate spatial discretization methods give rise to discretization errors which are larger than the corresponding subgrid-terms, if the ratio between the filter width and the grid-spacing is close to one. Even if an exact representation for the subgrid-scale contributions is assumed, LES performed on a (considerably) coarser grid than required for a DNS, is accurate only if this ratio is sufficiently larger than one. Finally the well-known turbulent stress tensor is investigated in more detail. A priori tests of subgrid-models for this tensor yield poor correlations for Smagorinsky's model, which is purely dissipative, while the non-eddy viscosity models considered here correlate considerably better.
机译:研究了评估可压缩流大涡模拟(LES)可能性的三个重要方面。特别是研究了所有子网格项的大小,离散化误差的作用以及湍流应力张量与几种子网格模型的相关性。研究的基础是二维和三维可压缩混合层的直接数值模拟(DNS),在足够细的网格上使用有限体积方法。关于第一方面,导出了精确的滤波后的Navier-Stokes方程,并且根据项的量级对所有项进行分类。已经发现,通常在建模实践中被忽略的滤波能量方程中的压力膨胀子网格项例如与图2一样大。压力速度子网格项,通常对其建模。第二方面产生的结果是,如果滤波器宽度和网格间距的比率接近于一,则二阶和四阶精确空间离散化方法会引起离散误差,该误差大于相应的子网格项。即使假定精确表示次网格规模的贡献,在比DNS所需的(相当大)粗网格上执行的LES仅在该比率足够大时才是准确的。最后,更详细地研究了众所周知的湍流应力张量。对于该张量的子网格模型的先验测试得出的Smagorinsky模型的相关性很差,这纯粹是耗散的,而此处考虑的非涡流粘度模型的相关性则更好。

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