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.
Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.
KTH Campus
50%
61616
Normal Daytime
English
Places are not limited
Open to students from year 3 and for students admitted to a master's programme as long as it can be included in your programme.
Johan Hoffman (jhoffman@kth.se)
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus DD2365 (Spring 2019–)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.
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:
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:
- turbulence
- separation
- 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.
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).
If the course is discontinued, students may request to be examined during the following two academic years.
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.
Compulsory attendance in seminars including preparation of literature review. A take-home problem solving exam (4 credits). Project assignment (3.5 credits).
In this course, the EECS code of honor applies, see:
http://www.kth.se/en/eecs/utbildning/hederskodex
