Uncertainty Quantification in Computational Fluid Dynamics (STO-AVT 326)
Date: Wednesday 17 October 2018 to Friday 19 October 2018
Location : von Karman Institute for Fluid Dynamics, Sint-Genesius-Rode (near Brussels), Belgium
VKI Lecture Series STO-AVT-236 on Uncertainty Quantification on Computational Fluid Dynamics
Probabilistic analyses are at the core of current UQ approaches, and therefore, the challenges offered by complex flow simulations are multiplied when uncertainty characterization is required. The additional requirement for optimization under uncertainty poses a tremendous burden on computational algorithms but also offers great opportunities to introduce engineering reasoning and a new paradigm for modeling physical phenomena under uncertainty. The examples will cover broad application areas and several engineering problems ranging from the design of heat exchangers to urban flow and dispersion. The lectures range from introductory to more advanced levels and are given by experts in the field. The lecture series is divided in two parts, the first more focused on the theoretical and algorithmic aspects of stochastic CFD computations, the second devoted to applications and results.
These lecture series sponsored by the Science & Technology Organization Educational Programme (STO 326) is co-organised by Professor Catherine Gorlé from Stanford University, Professor Gianluca Iaccarino from Stanford University and Professor Thierry Magin from the von Karman Institute for Fluid Dynamics.
Wednesday 17 October 2018
Thursday 18 October 2018
Friday 19 October 2018
Fee & Registration
Early bird (until September 30, 2018 included)
Normal fee (after September 30, 2018)
Type 1: Permanents residents of NATO countries funding VKI: Belgium, Bulgaria, Czech Republic, France, Germany, Greece, Hungary, Iceland, Italy, Luxemburg, Norway, Portugal, Romania and Turkey
For the PhD candidate and undergraduate student: The request to be considered for an award must accompany the application to attend the Lecture Series, and the applicant must provide a recommendation letter from his or her professor; if not done so, the request will not be taken into consideration. All possible alternative sources of funding should be investigated before aid is requested under this scheme, so that those most in need will benefit.
REDUCTION for the normal fee. Not applicable when early bird.
-50% for the 3rd & 4th participant from the same company. The normal fee price list is available here.