The goal of the course is to develop an understanding for computational methods in fluid mechanics, with a focus on adaptive finite element methods and how to apply these computational methods to real world fluid mechanics problems. Research challenges in the field are highlighted, e.g. with respect to high performance computing and simulation of turbulent flow. The first part of the course presents a theoretical background and gives an introduction to computational tools, which are used in the second part of the course focused on project work.
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Content and learning outcomes
Navier-Stoke's equations, Euler's equations, existence of exact solution, weak solution, weak uniqueness, general Galerkin (G2) method, energy estimates, perturbation growth, stability, duality, a posteriori error estimate and adaptivity.
Friction boundary condition, separation, boundary layer, generation of drag and lift, Magnus effect and d’Alembert's paradox.
Intended learning outcomes
The General aim is that the students should be able to analyse and use general Galerkin (G2) adaptive finite elements calculation methodology to model movement at high Reynolds numbers. Concretely, it implies that the students should be able to:
- account for the concepts of weak solution and weak uniqueness
- derive energy estimates for underlying equations and G2 approximations
- derive a posteriori error estimates for output in G2 by means of duality
- analyse the global effect of friction boundary in G2 calculations
- use G2 software for adaptive flow computations with error control.
Based on a critical overview of research literature and own computations with G2, the students should furthermore be able to compare state-of-the-art fluid mechanics with G2 calculation/analysis concerning the following fundamental problems:
- generation of drag and lift in aerodynamics
with applications within a lot of fields, such as car, ship and aircraft industry and ball sports. The intention is to develop a critical approach with possibility to be able to question established truths and shape own hypotheses.
Literature and preparations
For non-program students, 90 credits are required, of which 45 credits have to be within mathematics or information technology. Furthermore, English B or the equivalent is required.
J. Hoffman and C. Johnson (2007) "Computational Turbulent Incompressible Flow", samt ett antal vetenskapliga artiklar (utdelas vid kursstart).
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
- PRO1 - Project, 4.0 credits, grading scale: P, F
- TEN1 - Examination, 3.5 credits, grading scale: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Other requirements for final grade
Compulsory attendance in seminars including preparation of literature review. A take-home problem solving exam (4 credits). Project assignment (3.5 credits).
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.Course web DD2365
Main field of study
In this course, the EECS code of honor applies, see: