The Finite Element Method for Problems in Physics

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课程主页: https://www.coursera.org/learn/finite-element-method

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课程简介

课程名称:物理问题中的有限元方法 概述:本课程介绍了有限元方法在物理和工程科学中的应用。尽管涉及数学内容,但主要目的是阐明方法的制定,从而培养学员成为合格的有限元代码开发者。课程包括约45小时的讲座内容,涵盖密歇根大学的研究生入门课程内容。虽然课程涉及一些基础的函数分析和变分法,但重点是培养代码实现能力,同时强调这些方法成功的数学基础。 课程内容涵盖了传统的偏微分方程(PDE)的经典形式,包括椭圆型、抛物型和双曲型。课程首先从一维椭圆型PDE(如线性弹性、稳态热传导和质量扩散)入手,然后过渡到三维问题,最终探讨包括线性弹性在内的向量未知数的三维椭圆型PDE。此外,还会讨论三维抛物型PDE(如非稳态热传导和质量扩散)及三维双曲型PDE(线性弹性动力学)。在讲座中,反馈来自跟随直播的少数研究生和博士后,适时打断数学推导,展示开源的C++代码框架。 书籍推荐: 本课程没有指定的教材,但可以参考以下书籍以获取更详细的内容: 1. T.J.R. Hughes的《有限元方法:线性静态与动态有限元分析》 2. O.C. Zienkiewicz, R.L. Taylor 和 J.Z. Zhu的《有限元方法:基础与基本原理》 3. J. Fish 和 T. Belytschko的《有限元初学者教程》 资源: 学员可以在dealii.org下载deal.ii库,讲座中包含编程教程,列出了可用的其他资源以帮助无法自行安装deal.ii的学员。同时,需要在cmake.org上下载cmake以运行deal.ii。 课程大纲包括: 1. 一维问题的介绍。 2. 一维问题的弱形式的近似方法。 3. 将弱形式以矩阵-向量形式编写,并介绍deal.ii框架中的编程。 4. 边界条件、高阶基函数和数值积分的详细介绍。 5. 有限元方法的数学分析。 6. 适用于特定物理问题的弱形式的替代推导。 7. 三维标量问题(如热传导和质量扩散)的有限元方法。 8. 基函数选择对三维公式细节的影响,并引入第二次编程作业。 9. 二维标量问题(如稳态热或者扩散方程)的公式学习。 10. 三维线性弹性的稳态问题及其有限元素方法的发展。 11. 非稳态热传导或质量扩散问题及其有限元公式。 12. 弹性动力学问题及其有限元公式的研究。 13. 课程总结及未来学习建议。 本课程旨在帮助学员掌握有限元方法的基本理论与应用,提升其在物理问题中开发相关代码的能力。

课程大纲

Name:1

Description:This unit is an introduction to a simple one-dimensional problem that can be solved by the finite element method.

Name:2

Description:In this unit you will be introduced to the approximate, or finite-dimensional, weak form for the one-dimensional problem.

Name:3

Description:In this unit, you will write the finite-dimensional weak form in a matrix-vector form. You also will be introduced to coding in the deal.ii framework.

Name:4

Description:This unit develops further details on boundary conditions, higher-order basis functions, and numerical quadrature. You also will learn about the templates for the first coding assignment.

Name:5

Description:This unit outlines the mathematical analysis of the finite element method.

Name:6

Description:This unit develops an alternate derivation of the weak form, which is applicable to certain physical problems.

Name:7

Description:In this unit, we develop the finite element method for three-dimensional scalar problems, such as the heat conduction or mass diffusion problems.

Name:8

Description:In this unit, you will complete some details of the three-dimensional formulation that depend on the choice of basis functions, as well as be introduced to the second coding assignment.

Name:9

Description:In this unit, we take a detour to study the two-dimensional formulation for scalar problems, such as the steady state heat or diffusion equations.

Name:10

Description:This unit introduces the problem of three-dimensional, linearized elasticity at steady state, and also develops the finite element method for this problem. Aspects of the code templates are also examined.

Name:11

Description:In this unit, we study the unsteady heat conduction, or mass diffusion, problem, as well as its finite element formulation.

Name:12

Description:In this unit we study the problem of elastodynamics, and its finite element formulation.

Name:13

Description:This is a wrap-up, with suggestions for future study.

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课程详情

This course is an introduction to the finite element method as applicable to a range of problems in physics and engineering sciences. The treatment is mathematical, but only for the purpose of clarifying the formulation. The emphasis is on coding up the formulations in a modern, open-source environment that can be expanded to other applications, subsequently. The course includes about 45 hours of lectures covering the material I normally teach in an introductory graduate class at University of Michigan. The treatment is mathematical, which is natural for a topic whose roots lie deep in functional analysis and variational calculus. It is not formal, however, because the main goal of these lectures is to turn the viewer into a competent developer of finite element code. We do spend time in rudimentary functional analysis, and variational calculus, but this is only to highlight the mathematical basis for the methods, which in turn explains why they work so well. Much of the success of the Finite Element Method as a computational framework lies in the rigor of its mathematical foundation, and this needs to be appreciated, even if only in the elementary manner presented here. A background in PDEs and, more importantly, linear algebra, is assumed, although the viewer will find that we develop all the relevant ideas that are needed. The development itself focuses on the classical forms of partial differential equations (PDEs): elliptic, parabolic and hyperbolic. At each stage, however, we make numerous connections to the physical phenomena represented by the PDEs. For clarity we begin with elliptic PDEs in one dimension (linearized elasticity, steady state heat conduction and mass diffusion). We then move on to three dimensional elliptic PDEs in scalar unknowns (heat conduction and mass diffusion), before ending the treatment of elliptic PDEs with three dimensional problems in vector unknowns (linearized elasticity). Parabolic PDEs in three dimensions come next (unsteady heat conduction and mass diffusion), and the lectures end with hyperbolic PDEs in three dimensions (linear elastodynamics). Interspersed among the lectures are responses to questions that arose from a small group of graduate students and post-doctoral scholars who followed the lectures live. At suitable points in the lectures, we interrupt the mathematical development to lay out the code framework, which is entirely open source, and C++ based. Books: There are many books on finite element methods. This class does not have a required textbook. However, we do recommend the following books for more detailed and broader treatments than can be provided in any form of class: The Finite Element Method: Linear Static and Dynamic Finite Element Analysis, T.J.R. Hughes, Dover Publications, 2000. The Finite Element Method: Its Basis and Fundamentals, O.C. Zienkiewicz, R.L. Taylor and J.Z. Zhu, Butterworth-Heinemann, 2005. A First Course in Finite Elements, J. Fish and T. Belytschko, Wiley, 2007. Resources: You can download the deal.ii library at dealii.org. The lectures include coding tutorials where we list other resources that you can use if you are unable to install deal.ii on your own computer. You will need cmake to run deal.ii. It is available at cmake.org.

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