151-0529-00L  Computational Mechanics II: Nonlinear FEA

SemesterAutumn Semester 2022
LecturersL. De Lorenzis
Periodicityyearly recurring course
Language of instructionEnglish


151-0529-00 VComputational Mechanics II: Nonlinear FEA2 hrs
Tue10:15-12:00LEE E 101 »
L. De Lorenzis
151-0529-00 UComputational Mechanics II: Nonlinear FEA2 hrs
Tue14:15-16:00LEE E 101 »
L. De Lorenzis

Catalogue data

AbstractThe course provides an introduction to non-linear finite element analysis. The treated sources of non-linearity are related to material properties (hyperelasticity, plasticity), kinematics (large deformations, instability problems) and boundary conditions (contact).
ObjectiveTo be able to address all major sources of non-linearity in theory and numerics, and to apply this knowledge to the solution of relevant problems in solid mechanics.
Content1. Introduction: various sources of nonlinearities and implications for FEA.
2. Non-linear kinematics: large deformations, stability problems.
3. Non-linear material behavior: hyperelasticity, plasticity.
4. Non-linear boundary conditions: contact problems.
Lecture notesLecture notes will be provided. However, students are encouraged to take their own notes.
Prerequisites / NoticeMechanics 1, 2, Dynamics, Continuum Mechanics I and Introduction to FEA. Ideally also Continuum Mechanics II.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersL. De Lorenzis
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examinationwritten 120 minutes
Additional information on mode of examinationThe written final exam (taking place during the examination session) covers all contents of this course, including lectures, exercises, and programming assignments. It counts 50% towards the final grade.

Additionally, there will be a compulsory continuous performance assessment in the form of a programming assignment that is broken down into five projects to be discussed and assigned during the course of the semester. Out of the five projects, at least four must be submitted two weeks after assignment. The best four submitted projects count 50% towards the final grade (12.5% each). These programming projects, which are integrated with the lectures and exercises, require the student to understand and apply the course material, and involve programming in Matlab.
Written aidsOne hand-written page of notes/formulae is allowed. No further material is allowed.
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

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Only public learning materials are listed.


No information on groups available.


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Offered in

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Doctorate Materials ScienceStrength & Durability of Materials (MaP Doctoral School)WInformation
Mechanical Engineering MasterMechanics, Materials, StructuresWInformation
Computational Science and Engineering BachelorElectivesWInformation
Computational Science and Engineering MasterElectivesWInformation