1st UMRIDA Workshop on Uncertainty Quantification<br/><br/>
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Organized within the activities of the UMRIDA project (www.umrida.eu) the overall objective of the workshop is the assessment and application of UQ methods capable of fulfilling the following quantitative objective, which can also be regarded as a challenge to all workshop participants: "Development and application of UQ methods for a large number of uncertainties (~10) within an acceptable CPU return time of 10 hours on no more than 100 cores parallel processors."
A series of test cases such as rotors, wing-bodies, high-lift systems and airfoils are open to participants from outside the consortium.These test cases are part of a unique validation database with prescribed uncertainties, built within the UMRIDA consortium.
Participants from academia and industry are welcome to participate in the quantitative challenge on one or several of the proposed test case. Besides the participation to the open test cases, participants can contribute with presentations on:
• Application of UQ to industrial relevant configuration
• New developments in the field of UQ
The program will be completed by applications of UQ methods to multidisciplinary industrial test cases including aeroacoustics, fluid-structure interaction, turbine cooling or combustion, from professionals from inside the consortium and by invited speakers who are addressing state-of-the art research in the field of uncertainty quantification.
Workshop deadlines:
Intention to participate on UMRIDA test cases: 31 January, 2015
Submission of abstract: 1 March, 2015
Abstract acceptance (latest): 9 March, 2015
Registration to workshop (150 €): 7 April, 2015
Submission of presentations on test case: 7 April, 2015
Invited Speakers:
Prof. Omar M. Knio, King Abdullah University of Science and Technology, Kingdom of Saudi Arabia - Application of spectral methods for forward uncertainty propagation, sensitivity analysis, and inverse design
Prof. Siddhartha Mishra, ETH Zürich, Switzerland - Monte Carlo and Multi-Level Monte Carlo methods for uncertainty quantification in hyperbolic problems
Prof. Bijan Mohammadi, University of Montpellier II, France - Ensemble Kalman filters and geometric characterization of sensitivity spaces for uncertainty quantification in optimization