325.097 Implementation of a Finite Element Program
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2019W, VU, 3.0h, 4.0EC
TUWEL

Properties

  • Semester hours: 3.0
  • Credits: 4.0
  • Type: VU Lecture and Exercise

Learning outcomes

After successful completion of the course, students are able to

  • name all important modules of a typical finite element programs and explain their functionality
  • develop a feasible concept for the implementation for a particular module
  • implement this module in a given framework
  • critically evaluate and test the implementation
  • explain the reason for the chosen solution strategy
  • document their work in a technical report

Additionally, student should improve their ability to

  • work in teams in an efficient and organised manner
  • critically review the work of others
  • give constructive feedback

Subject of course

Based on the courses “Fundamentals of the Finite Element method” and “Finite Element Methods for multi-physics 1” the computer implementation of a finite element solver is explained based on an example in Python. Students then work in teams to develop a concept for the implementation of a new module (e.g. new element types, new partial differential equation, etc.) into the given software framework. The implementation is then carried out and tested based on a validation concept (e.g. a set of suitable test-cases) developed by the students. Finally, the work will be presented and documented.

Teaching methods

This is a team-learning course: After a recapitulation of the necessary fundamentals and the introduction of used tools (lectures) the students collaborate within small teams to complete a project in the subject area of the course. The project progress is presented and discussed with all course participants in 3 workshops during the semester. Weekly question and answers sessions are offered to provide additional regular feedback.

Mode of examination

Immanent

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon12:00 - 14:0007.10.2019 - 27.01.2020Kleiner Schiffbau Vorlesung/Fragestunde/Workshop
Implementation of a Finite Element Program - Single appointments
DayDateTimeLocationDescription
Mon07.10.201912:00 - 14:00Kleiner Schiffbau Vorlesung/Fragestunde/Workshop
Mon14.10.201912:00 - 14:00Kleiner Schiffbau Vorlesung/Fragestunde/Workshop
Mon21.10.201912:00 - 14:00Kleiner Schiffbau Vorlesung/Fragestunde/Workshop
Mon28.10.201912:00 - 14:00Kleiner Schiffbau Vorlesung/Fragestunde/Workshop
Mon04.11.201912:00 - 14:00Kleiner Schiffbau Vorlesung/Fragestunde/Workshop
Mon11.11.201912:00 - 14:00Kleiner Schiffbau Vorlesung/Fragestunde/Workshop
Mon18.11.201912:00 - 14:00Kleiner Schiffbau Vorlesung/Fragestunde/Workshop
Mon25.11.201912:00 - 14:00Kleiner Schiffbau Vorlesung/Fragestunde/Workshop
Mon02.12.201912:00 - 14:00Kleiner Schiffbau Vorlesung/Fragestunde/Workshop
Mon09.12.201912:00 - 14:00Kleiner Schiffbau Vorlesung/Fragestunde/Workshop
Mon16.12.201912:00 - 14:00Kleiner Schiffbau Vorlesung/Fragestunde/Workshop
Mon13.01.202012:00 - 14:00Kleiner Schiffbau Vorlesung/Fragestunde/Workshop
Mon20.01.202012:00 - 14:00Kleiner Schiffbau Vorlesung/Fragestunde/Workshop
Mon27.01.202012:00 - 14:00Kleiner Schiffbau Vorlesung/Fragestunde/Workshop

Examination modalities

The course is graded based on a small introduction test, the presentations and discussions during the workshops and the final project report.

Course registration

Begin End Deregistration end
26.09.2019 00:00 14.10.2019 23:55 06.11.2019 23:00

Group Registration

GroupRegistration FromTo
Gruppe 107.10.2019 00:0006.11.2019 23:00

Curricula

Study CodeSemesterPrecon.Info
066 445 Mechanical Engineering STEOP
Course requires the completion of the introductory and orientation phase
066 482 Mechanical Engineering - Management STEOP
Course requires the completion of the introductory and orientation phase
066 646 Computational Science and Engineering
066 646 Computational Science and Engineering

Literature

No lecture notes are available.

Previous knowledge

The course is aimed at students with good basic knowledge of the FE method who wish to specialise in this field (e.g. diploma thesis).

Preceding courses

Language

English