### 课程概况

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.

### 你将学到什么

Finite Differences

C++

C Sharp (C#) (Programming Language)

Matrices

### 预备知识

You will need to know about matrices and vectors. Having seen partial differential equations will be very helpful. The code is in C++, but you don't need to know C++ at the outset. We will point you to resources that will teach you enough C++ for this class. However, you will need to have done some programming (Matlab, Fortran, C, Python, C++ should all do).