Investigation of Turbulence Closure Models for Challenging Aerodynamic Flows

该项目的主要目标是调查和解决MAYA的挑战，以模拟复杂的 湍流空气动力学流动。为了解决这一挑战，任务将是调查他们的现状， 缺点，然后实施，验证，并验证必要的算法的k-神经网络，Wilcox K-omega和Mentor K-omega SST湍流模型， 空气动力学流MAYA的商用计算流体动力学求解器在 一系列应用，包括但不限于电子冷却、过程分析和汽车散热 转移然而，他们有一个直接的市场需求，即扩展他们的空气动力学分析软件， 计算车辆和工程结构的升力和阻力。研究型计算 Nadarajah教授的小组正在开发的流体动力学求解器包含许多尖端技术， 空气动力学流分析技术，因此，这个短期项目可能是一个起点， 长期的研究合作。该项目的重点是制定最先进的建议， 这些技术可以应用于MAYA的跨音速空气动力流解算器。我们尤其 希望集中讨论关于进一步发展双方程湍流模型的建议。的 该项目的重点是将MAYA的并行计算流体动力学解算器与美国宇航局的一些基准案例进行比较， 其实验或数值结果是可用的。基准案例的结果将是 与已发表的结果以及Nadarajah教授的求解器的结果进行比较。

The primary objective of the project is to investigate and resolve MAYA's challenge to simulate complex turbulent aerodynamic flows. To solve this challenge, the task would be to investigate their present shortcomings and then implement, validate, and verify the necessary algorithms for the k-epsilon, Wilcox k-omega, and the Mentor k-omega SST turbulence models within MAYA's Code-base for external aerodynamic flows. MAYA's commercial computational fluid dynamics solvers have a widespread usage over a range of applications including but not limited to electronics cooling, process analysis and automotive heat transfer. However, they have an immediate market need to extend their software for aerodynamic analysis, i.e., computation of lift and drag forces on vehicles and engineering structures. The research-oriented computational fluid dynamics solvers that are being developed in Professor Nadarajah's group contain many cutting-edge technologies for the analysis of aerodynamic flows and hence this short term project may be a starting point for a longer term research collaboration. This project focuses on developing recommendations of state-of-the-art technologies which could be applied to MAYA's solvers for transonic aerodynamic flows. In particular, we wish to focus on recommendations regarding the further development of two-equation turbulence models. The project will focus on comparing MAYA's parallel CFD solver with a number of NASA benchmark cases for which either experimental or numerical results are available. The results of the benchmark cases will be compared with published results, and those from Professor Nadarajah's solver.