Welcome to Fundamentals of Computational Fluid Dynamics (CFD)
The objective of this 4-day PhD course is to provide a presentation on elementary computational fluid dynamics (CFD). It will provide: (1) an insight into the philosophy and power of CFD and a true understanding of the nature of the fluid dynamics equations; (2) a familiarity with finite volume method (FVM) which is the core of most in-house and commercial CFD codes, e.g., the physical meaning and in-depth understanding of the FVM, different levels of discretization, different spatial and temporal discretization schemes, assessment of the schemes, pressure-velocity coupling algorithms, underrelaxation, boundary conditions, solvers, convergence and accuracy; (3) a familiarity with flow through porous media and multiphase flow and their modeling, e.g., Lagrangian method, volume of fluid approach, mixture and Eulerian approach; (4) a familiarity with turbulent flows and their modeling, which covers Reynolds Averaged Navier-Stokes simulation, RANS (e.g., k-ε models, k-ω models, and low-Re models), scale-resolving simulations (e.g., large eddy simulation - LES, and various hybrid RANS/LES models), and near-wall modeling; (5) practices, demos and hands-on of solving relatively simple problems by programming; (6) demos of solving complicated engineering problems by using commercial CFD codes, from meshing to post-processing. As the conclusion of the course, an attendee will be well prepared to understand and follow more sophisticated state-of-the-art literature in this field, to be able to develop his or her own CFD codes using FVM to solve simple problems, and to begin the application of CFD to his or her areas of concern. This PhD course is aimed at persons who have a limited experience in this field, both recent graduates and professional engineers.
Prerequisites: Basic knowledge in fluid mechanics, multiphase and turbulence.
Literature: Versteeg, H.K.: Malalasekera, W. An introduction to computational fluid dynamics - The finite volume method (2nd edition). Pearson Education limited, 2007 (ISBN 978-0-13-127498-3)
Organizer: Associate Professor Chungen Yin, firstname.lastname@example.org
Lecturers: Associate Professor Chungen Yin, Postdoc Anders Christian Olesen, and Associate Professor Thorsten Berning.
Time: 23-26 August 2016
Place: Aalborg University, Pontoppidanstræde
Zip code: 9220
City: Aalborg East
Number of seats: 25
Deadline: 9 August 2016
Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.