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所在平台: Udemy |
课程主页: https://www.udemy.com/course/computational-fluid-dynamics-fundamentals-course-3/
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**计算流体力学（CFD）基础系列课程 第三部分：非结构化网格与网格质量** 本课程是计算流体力学（CFD）基础系列课程的第三部分。在前两部分的基础上，本课程将深入探讨非结构化网格的概念、推导和应用，并重点介绍网格质量的评估指标，包括长宽比、正交性、偏斜度和雅可比行列式。 课程将从基本原理出发，通过提供的Excel表格和Python源代码，帮助您快速掌握构建CFD求解器的流程。学完本课程后，您将理解CFD方程在非结构化网格上的离散化方法，这与结构化网格（在第一、二部分中已介绍）的离散化方法是自然延伸。 能够处理任意尺寸和形状单元的CFD代码（如ANSYS Fluent, OpenFOAM, Star CCM, Saturne）普遍采用非结构化网格。您将学习主要的网格质量评估指标，了解它们的计算方法及其具体含义。 本课程无需任何CFD相关经验或特定CFD软件/编程经验。您无需安装ANSYS Fluent, OpenFOAM, Star CCM或其他任何CFD软件即可学习本课程。
Welcome to Part 3 of my Computational Fluid Dynamics (CFD) fundamentals course! In this course, the concepts, derivations and examples from Part 1 and Part 2 are extended to look at unstructured meshes and mesh quality metrics (aspect ratio, non-orthogonality, skewness and Jacobian Determinant). The course starts from first principles and you will rapidly develop a working CFD solution using the Excel sheets and Python source code provided. By the end of the course, you will understand how the CFD equations are discretised for unstructured meshes. This discretisation approach is a natural extension of the discretisation approach that is adopted for structured meshes (which were considered in Part 1 and Part 2). CFD codes which are constructed in this unstructured way (such as ANSYS Fluent, OpenFOAM, Star CCM, Saturne) can handle cells of any size and shape. You will learn about the main quality metrics (aspect ratio, non-orthogonality, skewness, Jacobian Determinant) that are used to assess these meshes, how they are calculated and what they actually mean. For this course, no prior experience is required and no specific CFD code/coding experience is required! You do not need ANSYS Fluent, OpenFOAM, Star CCM or any other CFD code to use this course.
