Large-Eddy Simulation of Turbulent Scalar Transport Processes in Smooth and Rough Wall Boundary Layers

光滑和粗糙壁边界层中湍流标量输运过程的大涡模拟

• 批准号: 357453-2013
• 负责人: Wang, BingChen
• 金额: $ 2.33万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=572770
• 关键词: Large; Eddy; Simulation; Turbulent; Scalar

In mechanical, environmental and chemical engineering, turbulent transport of active and passive scalars in a boundary layer is a frequently encountered phenomenon, which has important applications for the engine industry, power plants, building environment, and prediction of air pollution in the atmospheric boundary layer. By their nature, turbulent convective flows driven by shear stresses, pressure gradients and scalar gradients are unsteady, and exhibit coherent flow structures that are highly interactive with the scalar transport processes. The proposed research aims at obtaining a deeper understanding of the interaction between dynamically evolving flow structures and scalar transport processes in both smooth and rough-wall boundary layers using the method of large-eddy simulation (LES), as well as development of new physics-based subgrid-scale scalar-flux models for improved LES of turbulent scalar transport in both low- and high-Reynolds number flows. In order to achieve these goals, both a priori and a posteriori LES methods will be employed for testing the model performance in contexts of smooth-wall boundary-layer flows and turbulent boundary-layer flows over obstacle arrays. The obtained LES results will be validated against direct numerical simulation (DNS) data and two sets of comprehensive water-channel and wind-tunnel experimental data. It is anticipated that the proposed research will provide an excellent opportunity for the applicant and his team to conduct innovative research on development of a high-fidelity predictive tool that can be used by both academics and engineers for assessing active and passive scalar transport in different types of boundary-layer flows. It is also anticipated that the proposed research will provide an opportunity to train highly qualified personnel in areas related to computational fluid dynamics, turbulent heat and mass transfer, environmental dispersion, and high-performance scientific computing based on in-house codes and supercomputers.

在机械，环境和化学工程中，边界层中主动和被动标量的湍流运输是一种经常遇到的现象，它在发动机工业，发电厂，建筑环境以及在大气边界层中对空气污染的预测具有重要应用。从本质上讲，由剪切应力，压力梯度和标量梯度驱动的湍流对流流不稳，并且表现出与标量传输过程高度相互作用的相干流量结构。 拟议的研究旨在通过大型模拟（LES）的方法（LES）的方法以及开发基于新型物理学的量表标量表模型，从而在平稳和粗糙的边界层中更深入地了解平稳和粗糙的边界层中的标量传输过程之间的相互作用。为了实现这些目标，将采用先验和后验方法来测试模型性能，以平滑壁边界层流和湍流边界层流在障碍物阵列上。获得的LES结果将通过直接的数值模拟（DNS）数据以及两组综合水道和风能隧道实验数据进行验证。 预计拟议的研究将为申请人及其团队提供一个极好的机会，以开发有关高保真预测工具的开发研究，学者和工程师都可以使用，以评估不同类型的边界层流中的主动和被动标量运输。还可以预料，拟议的研究将为培训与计算流体动力学，湍流热和传质，环境分散体以及基于内部代码和超级计算机的高性能科学计算的领域相关领域的高素质人员。