2021-2 Intro. to Finite Element Method (MECH583-01) The course syllabus

1.Course Information

Course No. MECH583 Section 01 Credit 3.00
Category Major elective Course Type prerequisites
Postechian Core Competence
Hours TUE, THU / 09:00 ~ 10:15 / Science BldgⅤ[009]Storage Room Grading Scale G

2. Instructor Information

ScovazziGuglielmo Name ScovazziGuglielmo Department Dept of Mechanical Enginrg
Email address scovazzi@postech.ac.kr Homepage
Office Office Phone
Office Hours

3. Course Objectives

This course is an introduction to finite element methods on Arbitrary Lagrangian/Eulerian (ALE) coordinates.
No prerequisites are needed, other than a general knowledge of numerical methods for partial differential equations (PDEs) and multivariable calculus.
Exposure to the basics of the finite element method are certainly beneficial but not necessary.
The scope of the course is to introduce students to the finite element method and the simulation of problems in which the computational domains(regions) change in shape over time.

4. Prerequisites & require

5. Grading

6. Course Materials

Title Author Publisher Publication
Year/Edition
ISBN

7. Course References

[1] H.J.R. Hughes, “The Finite Element Method: Linear Static and Dynamic Analysis”, Dover 2004.
[2] J. Donea and A. Huerta, “Finite Element Methods for Flow Problems”, Wiley 2003.
[3] G. Scovazzi and T.J.R. Hughes, “Lecture Notes on Continuum Mechanics on Arbitrary Moving Domains”, Sandia National Laboratories Report 2007-6312P.
[4] A. Main, G. Scovazzi, “The shifted boundary method for embedded domain computations. Part I: Poisson and Stokes problems,” Journal of Computational Physics,372, 972-995, 2018.

8. Course Plan

1) Introduction to the finite element method:
. Fundamental concepts in one dimension (Poisson Equation):
– Strong and weak form of a PDE’s boundary value problem and conditions for their equivalence
– Galerkin approximation, shape functions, test/trial function spaces, best approximation property for elliptic PDEs
– Matrix equations, degrees of freedom
. Finite element data structures:
– Element stiffness matrix and force vector
– Finite element assembly
. Generalizations to two and three dimensions (Poisson Equation):
– Element stiffness matrix and force vector
– Finite element assembly
. Iso-parametric elements and programming concepts (triangles and quadrilaterals)
– Parent vs. physical domain
– Derivative of shape functions
– Numerical integration and Gauss quadratures
– Element stiffness matrix and force vector
2) Arbitrary Lagrangian/Eulerian methods (ALE):
. Some fundamental results from vector calculus
. Maps and kinematics Lagrangian, Eulerian, and arbitrary Lagrangian/Eulerian reference frames
. Transport theorem of Leibnitz and Reynolds in generalized reference frame
. Balance laws and Rankine-Hugoniot conditions
. Conservation laws in generalized coordinates
. Variational formulation in generalized coordinates
. The geometric conservation law and consequences
. Variational equations of mechanics in Arbitrary Lagrangian/Eulerian form
3) A preview of immersed/unfitted numerical methods:
. Finite volume versus finite element methods
. An introduction to a possible course offering in the Fall 2022 “Immersed and unfitted finite element methods, theory and practice”

9. Course Operation

Real-time online lecture.

10. How to Teach & Remark

11. Supports for Students with a Disability

- Taking Course: interpreting services (for hearing impairment), Mobility and preferential seating assistances (for developmental disability), Note taking(for all kinds of disabilities) and etc.

- Taking Exam: Extended exam period (for all kinds of disabilities, if needed), Magnified exam papers (for sight disability), and etc.

- Please contact Center for Students with Disabilities (279-2434) for additional assistance