Skip to main content
Till KTH:s startsida

DD2365 Advanced Computation in Fluid Mechanics 7.5 credits

Administer About course

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. 

Information per course offering

Termin

Information for Spring 2027 aflum27 programme students

Course location

KTH Campus

Duration
15 Mar 2027 - 31 May 2027
Periods

Spring 2027: P4 (7.5 hp)

Pace of study

50%

Application code

11776

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Min: 1

Target group
Open to students admitted to a master's programme as long as it can be included in your programme.
Planned modular schedule
[object Object]

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus DD2365 (Spring 2027–)
Headings with content from the Course syllabus DD2365 (Spring 2027–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Navier-Stoke's equations, Euler's equations, existence of exact solution, weak solution, finite element methods, energy estimates, perturbation growth, stability, duality, a posteriori error estimate and adaptivity.
Boundary conditions, separation, generation of drag and lift.



Intended learning outcomes

After passing the course, the student should be able to

  • apply concepts and methods, as well as solve computational problems, within computational fluid dynamics, with a focus on the areas of viscous flow, unsteady flow, adaptive mesh refinement, and fluid-structure interaction
  • plan, carry out, and present, both orally and in writing, a project related to a research problem or an engineering problem

in order to get theoretical and practical skills in computational fluid dynamics, and applying these skills to real-world fluid mechanics problems.

Literature and preparations

Specific prerequisites

  • Knowledge and skills in programming corresponding to completed course DD1337/DD1310-DD1319/DD1321/DD1331/DD1333/DD100N/DD100V/ID1018/ID1022.
  • Knowledge in one-variable analysis, 7.5 credits, corresponding to completed course SF1625/SF1673/SF1685.
  • ​Knowledge in multivariable calculus, 7,5 hp, corresponding to completed course SF1626/SF1674/SF1686.
  • Knowledge in linear algebra, 7.5 credits, corresponding to completed course SF1624/SF1672/SF1684.
  • Knowledge in probability theory and statistics, 6 hp, corresponding to completed course SF1910-SF1925/SF1935 or completed exam element TEN1 in SF1910/SF1925/SF1935.​

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

Grading scale

A, B, C, D, E, FX, F

Examination

  • 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.

If the course is discontinued, students may request to be examined during the following two academic years.

TEN1 consists of a project report that is also presented orally.

Other requirements for final grade

Compulsory attendance in seminars including preparation of literature review.

Examiner

Profile picture Johan Hoffman

Ethical approach

  • 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

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

EECS/Computational Science and Technology

Main field of study

Computer Science and Engineering

Education cycle

Second cycle

Supplementary information

In this course, the EECS code of honor applies, see:
http://www.kth.se/en/eecs/utbildning/hederskodex