Turbulent Transport in Wall Turbulence

PI将进行标量输运的计算研究（例如，污染物或热能）以及普朗特（或施密特）数对近壁和弥散行为的影响。 这项研究的核心将是直接数值模拟（DNS）的发展与拉格朗日标量跟踪（LST）生成的数值数据和描述性模型的发展。 该计划将结合高性能计算的进步，以允许各种流体系统的湍流传热和传质的详细调查。 主要关注的问题是湍流输运性质的空间变化的预测，分子普朗特数对湍流输运的影响和边界条件对标量性质输运的影响。 本工作的创新之处是：（a）使用直接数值模拟（DNS）产生的流体动力学产生的拉格朗日数据的湍流扩散;（B）的平面Couette流模拟的发展，在恒定应力区的运输研究;和（c）在拉格朗日框架中的湍流化学反应的研究。如果成功的话，这些结果将对各种实际的传热和传质问题（热交换、混合、反应器流动、涡轮机叶片冷却、大气中的污染物扩散）产生影响。 这项工作还将促进HPC技术的应用，使DNS更具可评估性和成本效益，并可能导致研究其他重要物理问题中的标量传输的能力，例如非常小规模流中的传输。 已经制定了具体计划，将HPC介绍给将在工作的不同阶段参与研究的本科生，并将HPC引入俄克拉荷马州大学的化学工程课程。

The PI will undertake a computational study of scalar transport (e.g., contaminants or thermal energy) in wall turbulence and the influence of Prandtl (or Schmidt) number on near-wall and dispersion behavior. Central to this study will be the development of Direct Numerical Simulation (DNS) in conjunction with Langrangian Scalar Tracking (LST) for the generation of numerical data and the development of descriptive models. The program will incorporate advances in High Performance Computing to allow the detailed investigation of heat and mass transfer in turbulent flow for a variety of fluid systems. Central concerns are the prediction of the spatial variation of turbulent transport properties, the effect of molecular Prandtl number on turbulent transport and the effect of boundary conditions on the scalar property transport. The innovations of the present work are (a) the use of hydrodynamics generated by a Direct Numerical Simulation (DNS) to generate Lagrangian data for turbulent dispersion; (b) the development of plane Couette flow simulations for the study of transport in the constant stress region; and (c) the study of chemical reaction in turbulence in the Lagrangian framework. The results, if successful, will have impact on a variety of practical heat and mass transfer problems (heat exchange, mixing, reactor flows, turbine blade cooling, pollutant dispersion in the atmosphere). The work will also foster the application of HPC technology in ways that will make DNS more assessable and cost effective, and potentially will lead to the ability to study scalar transport in other important physical problems, such as transport in very small-scale flows. Specific plans have been laid out to introduce HPC to undergraduate students who will participate in the research at different stages of the work and through the introduction of HPC into the curriculum of Chemical Engineering at the University of Oklahoma.