Course contents *

Short introduction with review of other numerical methods or the basic equations of fluid dynamics (the class will be divided in two groups). Conservation laws: the Navier-Stokes equations. Different levels of approximation, the Euler and Reynolds Averaged equations. Turbulence models. Basics of finite approximations for partial differential equations. Mathematical properties of hyperbolic systems. Numerical treatment of shocks. Finite volume and finite element methods. Boundary conditions. High-resolution methods. Grid generation. Practical algorithms for compressible and incompressible flow. Computer exercises with methods for the Euler equations in 1D and different approximations for 2D compressible and incompressible flows.

Intended learning outcomes *

After reading this course the student should be:

• familiar with the differential equations for flow phenomena and numerical methods for their solution
• able to use and develop flow simulation software for the most important classes of flows in engineering and science.
• able to critically analyse different mathematical models and computational methods for flow simulations
• able undertake flow computations using current best practice for model and method selection, and assessment of the quality of results obtained.

Course Disposition

No information inserted

Specific prerequisites *

A course in computer science or programming (e.g. DD1342);
2. Background in either fluid dynamics or numerical methods, corresponding to one of the second level courses in numerical methods DN2220-DN2225, DN2250-DN2260, DN2266 or a course in fluid dynamics e.g. SG2214 or equivalent.

Recommended prerequisites

No information inserted

Equipment

No information inserted

Literature

To be announced at course start. In 05/06: Tannehill, John C, Computational Fluid Mechanics and Heat Transfer, Taylor & Francis, was used.

Grading scale *

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

Examination *

• LAB1 - Laboratory Work, 4.5 credits, Grading scale: P, F
• TEN1 - Examination, 3.0 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 *

One written examination (TEN1; 3 university credits). Homework and computer assignments (LAB1; 4,5 university credits).

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Philipp Schlatter

Course web

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.

Offered by

SCI/Mechanics

Main field of study *

Mechanical Engineering

Education cycle *

Second cycle

Add-on studies

SG2213 Applied Computational Fluid Dynamics covers selected industrial and research topics in students projects with invited specialists.

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.