Zurück zu The Finite Element Method for Problems in Physics

4.6

Sterne

403 Bewertungen

•

84 Bewertungen

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....

SS

Mar 13, 2017

It is very well structured and Dr Krishna Garikipati helps me understand the course in very simple manner. I would like to thank coursera community for making this course available.

RD

Sep 05, 2020

Well worth the time if you wish to understand the mathematical origin of the FEM methods used in solving various physical situations such as heat/mass transfer and solid mechanics

Filtern nach:

von Patel P

•May 21, 2020

Professor is very clear with explanation, and meticulous with accuracy to the highest degree possible. Assignment at first seems daunting, but Gregory Teichert explains very clearly and then it seems like only a typing job.

von Asan

•May 15, 2018

Thank you very much that you helped me understand of the FEM. I'm so happy that I could find your online course.

You did a really very significant course which help to people easily fıgure out the FEM.

von Matthijs S

•Jul 11, 2017

Well-structured course with high quality lectures and slides in Galerkin FEM for problems in physics. A 'Must Take' to every professional in computer-aided design for research and concept development.

von Michael B

•Mar 05, 2017

This was a great course, I can only recommend. The tutor really explains basically all that there is to linear PDEs. What I miss, maybe as a different course is the case of nonlinear equations.

von Rahul B D

•Sep 05, 2020

Well worth the time if you wish to understand the mathematical origin of the FEM methods used in solving various physical situations such as heat/mass transfer and solid mechanics

von 杨思超

•Aug 30, 2019

very good course on explaining the mathematical ground of FE and connecting it with the physical domain. Also learned a lot on the coding part of the FE modeling

von MEHMET A

•Sep 08, 2020

This course is really didactic course. If you are interested in FEM, please take this course. Thank you Professor Krishna Garikipat.

Sincerely....

von Eik U H

•May 26, 2018

Looking backward from the end of this course I know, whatever I felt during the last months, this course is really great. Thank you very much.

von FRANCISCO T

•Jan 13, 2018

This is a very good course for getting introduced in the theory and practice of the finite element method. I wish there were a second part.

von Devara s

•Jul 10, 2017

it is good course it more useful to us and i learn lot information for this course thanking you giving for this opportunity

von aamir i

•Mar 09, 2017

A rigorous and organized introduction to the subject with the additional benefit of learning through implementation.

von LUIS A P C

•Sep 18, 2020

This should be the standard way for teaching Finite Element Methods in Engineering in colleges and universities

von benjamin j d o

•Jun 29, 2017

Absolutely amazing¡¡ Where is the other course in continuum physics in MOOC format? I can't wait.

von Brad R

•Mar 12, 2020

Very well organized and presented from an instructor who is clearly quite knowledgeable.

von ISAAC T

•Jul 29, 2017

Incredibly instructive, even for an industrial engineer especialzed in mechanic like me.

von DEEPAK K P

•Mar 17, 2019

An exceptionally created course with every detail of the subject matter. Thanks a lot.

von 张宇杰

•Aug 14, 2020

The course is arranged perfectly. I learned a lot through the coding assignment!

von Elizabeth F

•Jul 05, 2018

I like this course it is useful because have theory and the application part.

von Harsh V G

•Dec 07, 2017

excellent course , explains stuff right from the basics.

great job overall !!

von chtld

•Mar 11, 2018

I think this course is very good for the students who first learn the fem.

von MOHD. F

•Jun 19, 2017

Exceptional!

Need to invest a great deal of time to understand thoroughly.

von NISHANT S

•May 26, 2020

A VERY INTERESTING COURSE WITH AN ENTHUSIASTIC AND DEDICATED INSTRUCTOR

von LO W

•Aug 31, 2019

It is worth to put some effort on this course. I learn alot .

von Prasanth s

•Jul 12, 2017

thank you sir for giving this offering of this course

von Ann T

•Apr 09, 2020

Very good course, I liked everything.

- KI für alle
- Vorstellung von TensorFlow
- Neuronale Netzwerke und Deep Learning
- Algorithmen, Teil 1
- Algorithmen, Teil 2
- Maschinelles Lernen
- Maschinelles Lernen mit Python
- Maschinelles Lernen mittels Sas Viya
- R-Programmierung
- Einführung in die Programmierung mit Matlab
- Datenanalyse mit Python
- AWS-Grundlagen: Mit der Cloud vertraut werden
- Grundlagen der Google Cloud-Plattform
- Engineering für Site-Funktionssicherheit
- Englisch im Berufsleben
- Die Wissenschaft des Wohlbefindens
- Lernen lernen
- Finanzmärkte
- Hypothesenüberprüfung im öffentlichen Gesundheitswesen
- Grundlagen für Führungsstärke im Alltag

- Deep Learning
- Python für alle
- Data Science
- Angewandte Datenwissenschaft mit Python
- Geschäftsgründungen
- Architektur mit der Google Cloud-Plattform
- Datenengineering in der Google Cloud-Plattform
- Von Excel bis MySQL
- Erweiterte maschinelles Lernen
- Mathematik für maschinelles Lernen
- Selbstfahrende Autos
- Blockchain-Revolution für das Unternehmen
- Unternehmensanalytik
- Excel-Kenntnisse für Beruf
- Digitales Marketing
- Statistische Analyse mit R im öffentlichen Gesundheitswesen
- Grundlagen der Immunologie
- Anatomie
- Innovationsmanagement und Design Thinking
- Grundlagen positiver Psychologie