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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-modern-computational-fluid-dynamics-cfd/
课程评论：没有评论
**课程名称：** 计算流体动力学（CFD）入门 **课程概述：** 本课程是计算流体动力学（CFD）领域的基础性入门课程，旨在为学员提供CFD在工程设计与分析中的重要性认知，并深入讲解CFD工具如何模拟和理解物理、数学及数值概念对工程系统的影响。课程内容涵盖从有限体积法基础到近期技术（如机器学习在CFD中的应用）的广泛主题。 **课程重点内容：** * **有限体积法 (Finite Volume Method)：** 详细讲解CFD中核心的有限体积方法。 * **支配方程 (Governing Equations)：** 深入理解守恒律、对流和扩散通量、累积项和源/汇项，以及积分和微分形式的基本支配方程。 * **数值方法：** 介绍压力投影和SIMPLE算法，自适应网格加密，以及无网格方法等。 * **湍流模型 (Turbulence Models)：** 学习湍流的物理学，以及在CFD中应用各种湍流模型，包括湍流模型详解、能量级串、科尔莫哥洛夫尺度、近壁区行为、壁面律、Y+等。 * **CFD应用：** 讲解CFD在环境流（大气扩散、地下水流、地表水流、海啸等）中的应用。 * **新兴趋势：** 探讨深度机器学习和人工智能对CFD的影响。
Computational Fluid Dynamics (CFD) has emerged as an essential component of the design and analysis process for a wide range of engineering applications. CFD tools enable an design engineer to simulate and understand the impact of the underlying physics, mathematics, and numerical concepts on an engineering system.This introductory course addresses a wide range of topics from fundamental aspects of finite volume method to the state-of-the-art technologies, such as application of the latest Machine learning techniques to Computational Fluid Dynamics (CFD).This course will cover;Detail understanding of the finite volume method for computational fluid dynamics (CFD).Critical understanding of the Governing equations including; The balance laws, Convective and Diffusive Fluxes, Accumulation and Source/Sink Terms, The basic Governing Equations in Integral and Differential forms etc…The pressure projection and SIMPLE algorithm, Adaptive grid refinement, Gridles methods etc…Introduction to the physics of turbulent flows and learn to apply the various turbulence models in CFD. Detail discussion on various turbulence models, energy cascading, Kolmogorov scales, Near wall behaviour, Wall function, Y+, etc...How to apply CFD to environmental flows, including atmospheric dispersion, ground water flow, surface water flow including tsunamis.A detail perspective on emerging trends, including the impact of deep machine learning and AI in CFD
