Advanced Topics in Computational Methods (MSK910)
The course provides a comprehensive theoretical and practical understanding and engineering applications of computational methods such as advanced topics in finite element methods, computational fluid dynamics and linear/nonlinear engineering optimization techniques..
Course description for study year 2023-2024
Facts
Course code
MSK910
Version
1
Credits (ECTS)
10
Semester tution start
Spring, Autumn
Number of semesters
1
Exam semester
Spring, Autumn
Language of instruction
English
Content
The course content covers some or all of the following topics, based on the potential candidate(s) direction of study:
- FEM: Finite elements in continuum and solid mechanics, Eulerian and Lagrangian finite element formulations, Numerical modeling of material behavior, Material and geometric nonlinearity analysis, Plasticity models, Computational methods in dynamic problems, Finite elements in engineering optimization
- CFD: Finite volume techniques in fluid dynamics, discretization and solution methods, selected topics in multiphase flows including Euler-Euler, Euler-Lagrange as well as Volume of fluid (VOF) methods.
- Engineering optimization, linear and nonlinear optimization, advanced and nature-inspired optimization tools and approaches.
Learning outcome
Upon finishing the course, the candidate is expected to be able to:
- Understand finite element formulations and/or finite volume methods
- Formulate and solve nonlinear problems in continuum mechanics/fluid dynamics
- Use numerical modeling techniques to model material/fluid behavior,
- Use finite element programming tools to formulate and solve engineering optimization problems, plasticity problems and dynamics systems.
Required prerequisite knowledge
None
Recommended prerequisites
Basic background in finite element (FEM) methods and/or computational fluid dynamics (CFD).
Exam
| Form of assessment | Weight | Duration | Marks | Aid |
|---|---|---|---|---|
| Project assignment and oral exam | 1/1 | Passed / Not Passed |
The oral exam can be conducted in a form of presentation.
Course teacher(s)
Course coordinator:
Knut Erik Teigen GiljarhusHead of Department:
Mona Wetrhus MindeMethod of work
The course is conducted as self-study with student presentations, colloquia, seminars, project works and computer-based modeling and simulation exercises. Project report is submitted in a scientific article format and graded. This project report will have a quality of at least an international conference level and commonly presented in conferences and published.
Open for
Open for students admitted to PhD study in Offshore Technology or similar.
Course assessment
There must be an early dialogue between the course coordinator, the student representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.