The subgrid-scale (SGS) modeling environment provided by the Adaptive Local Deconvolution Method (ALDM) has been recently extended to Large-Eddy Simulations (LES) of passive-scalar transport. The resulting adaptive advection algorithm has been described and discussed with respect to its numerical and turbulence-theoretical background in Ref. [1]. Results demonstrate that this method allows for reliable predictions of the turbulent transport of passive-scalars in isotropic turbulence and in turbulent channel flow from small to moderate Schmidt numbers. Due to the strong influence of the Schmidt number Sc on the Batchelor characteristic scales, difficulties in the modeling of the passive-scalar transport arise when the diffusive structures are several order of magnitude smaller than the viscous scales (Sc 1). In this paper, we present the results from implicit LES of the flow in a confined rectangular-jet reactor and an analysis of the mixing of a high Schmidt number scalar: Sc = 1,250. The numerical study is carried out in collaboration with experimentalists from Iowa State University.
展开▼
机译：自适应局部解卷积法（ALDM）提供的子级级（SGS）建模环境已被延伸到无源标量传输的大涡模拟（LES）。已经描述了所得到的自适应平流算法，并讨论了REF中的数值和湍流 - 理论背景。 [1]。结果表明，该方法允许对各向同性湍流中的被动标量的湍流传输以及从小到中等施密特数的湍流通道流动的可靠预测。由于Schmidt Number SC对Batchelor特征尺度的强烈影响，当漫射结构的几个数量级小于粘度尺度时，出现了被动标量传输的建模的困难。在本文中，我们介绍了狭窄的矩形反应器中流动的隐式LES的结果，以及高施密特数标量的混合分析：SC = 1,250。与爱荷华州立大学的实验主义者合作进行了数值研究。
展开▼
