Course syllabus

Beräkningsbaserad materialmodellering
Computational Inelasticity

FHLN05, 7,5 credits, A (Second Cycle)

Valid for: 2012/13
Decided by: Education Board 3
Date of Decision: 2012-04-25

General Information

Elective for: F4, F4-bem, M4-bem, Pi4, Pi4-bs, V5-ko
Language of instruction: The course might be given in English


The course provides an understanding of the mathematical description of non-linear material behaviour. The student will be provided with the mathematical tools necessary for establishing material models as well as the numerical background necessary for the numerical implementation.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

Competences and skills
For a passing grade the student must

Judgement and approach
For a passing grade the student must


In the course, non-linear material models are considered, as well as the numerical issues when the models are implemented into a non-linear finite element program.

In the course the following subjects are considered:


The projects, in which non linear material problems are considered, consist of an analytical part and a numerical part. In the numerical part the material model is implemented. The program is then used for describing the response of a structure.

Examination details

Grading scale: TH
Assessment: The course is given in seminar form and treats modern aspects of constitutive modelling. Two project assignments should be solved in the course. Examination is based on the two project assignments and a final written exam. The projects consider materially non-linear problems, containing both a theoretical and a numerical part, which are used to solve a practical problem. The three parts will then provide a final grade.

Code: 0112. Name: Computational Inelasticity.
Credits: 7,5. Grading scale: TH.
Code: 0212. Name: Project.
Credits: 0. Grading scale: UG.


Admission requirements:

The number of participants is limited to: No

Reading list

Contact and other information

Course coordinator: Professor Matti Ristinmaa,
Course homepage: