Canada Research Chair in Computational Materials Science

虽然数值方法和CFD在过去的二十年中取得了巨大的进步，但它们对高度复杂的工业问题的适用性仍然受到工程师精确建模和离散计算域所需的努力和时间的限制。拟议的研究旨在通过开发创新的几何形状和网格操作方法来解决模拟需求，从而帮助减少工程师准备模型所需的时间。该研究计划还旨在提高高雷诺数湍流计算流体动力学（CFD）分析的准确性和精度，用于设计复杂的三维机械设备，特别是液压泵。 该提案将研究1）几何建模，2）网格生成和3）在使用有限体积求解器的粘性湍流不可压缩流的CFD模拟背景下的后验网格自适应的创新方法。几何建模的研究旨在提高计算域的表示和操作。本研究将探讨结合隐式和标准的参数化边界表示的计算域，以受益于互补的优势，每个表示域离散化和形状操作。表面重新参数化技术将特别调查，通过使用替代表示，以支持后续域离散化操作的代理表面的建设。网格生成的研究将集中在先验构造足够的单元尺寸和形状控制功能，以有效地生成高质量的计算网格。非结构网格生成过程中的单元形状和尺寸控制是工业应用中许多困难的根源。拟议的研究将旨在确定有效的尺寸规格方法适用于混合元素类型的网格。与后验网格自适应相关的主题包括不可压缩湍流Navier-Stokes有限体积解的后验误差估计、引导自适应的几个变量的组合以及网格自适应算法的收敛性。

While numerical methods and CFD have progressed tremendously in the last twenty years, their applicability to highly complex industrial problems is still limited by the efforts and time required by engineers to accurately model and discretize computational domains. The proposed research aims to help reduce the time required by engineers to prepare models through the development of innovative geometry and mesh manipulation methods addressing the needs of simulation. This research program also aims to enhance the accuracy and precision of high Reynolds number turbulent computational fluid dynamics (CFD) analysis used for the design of complex three dimensional mechanical devices, and particularly hydraulic turbomachinery. This proposal will investi- gate innovative approaches for 1) geometric modeling, 2) mesh generation and 3) a posteriori mesh adaptation in the context of CFD simulations of viscous, turbulent incompressible flows using finite volume solvers. The proposed research on geometric modeling aims to advance computational domain representation and manipula- tion. This research will investigate combining implicit and standard parametric boundary representation of a computational domain in order to benefit from complementary advantages of each representation for domain discretization and shape manipulation. Surface reparameterization techniques will be particularly investigated, through the construction of surrogate surfaces using alternate representations in support to subsequent domain discretization operations. Research on mesh generation will focus on the a priori construction of adequate el- ement size and shape control functions for the efficient generation of high quality computational grids. Control of element shape and size in the course of unstructured mesh generation is the source of many difficulties in the context of industrial applications. The proposed research will aim to identify efficient size specification approaches applicable to meshes of mixed element types. Themes related to a posteriori mesh adaptation include a posteriori error estimation for incompressible turbulent Navier-Stokes finite volume solutions, the combination of several variables to steer adaptation and convergence of mesh adaptation algorithms.