The UMRIDA Project

The UMRIDA Project - Uncertainty Management for Robust Industrial Design in Aeronautics - Coordinated by NUMECA

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This presentation was made by Dr Dirk Wunsch of NUMECA at the March 2019 Optimisation Working Group Special Interest Group meeting. NAFEMS members are invited to get involved and participate in these events. More information on the Optimisation Special Interest Group can be found here.

The UMRIDA project was funded under the 7th Framework Programme (FP7) by the European Union and run from 2013 to 2016, coordinated by NUMECA Int. Its main research focus was Uncertainty Quantification (UQ) and Robust Design Optimization (RDO) applied to the industrial design practice by means of high-fidelity virtual prototyping, i.e. full scale 3D Computational Fluid Dynamics (CFD) and Computational Structural Mechanics (CSM), including aero-acoustic and combustion applications. The project successfully helped to bridge the gap from basic research levels to a Technology Readiness Level (TRL) of 5-6, where large numbers of simultaneous (operational, geometrical and manufacturing) uncertainties can be treated in complex industrial analysis and design.

The present talk focused on the findings and best practices collected by the 21 academic and industrial research partners and showcase the main outcomes centred around:

The construction of a novel and unique database of industrial relevant challenges with prescribed uncertainties;

The UMRIDA quantifiable objective: "development and application of UQ methods for large number of uncertainties (>10) within an acceptable CPU return time of 10h on no more than 100 cores parallel processors including multidisciplinary applications";

Application to industrial challenges and hereby increasing the Technology Readiness Level (TRL) from 2-3 at project start to 5-6 at project end.

It was shown that all types of propagation techniques investigated, could be accelerated during the project: Polynomial chaos and collocation methods saw a speed-up by a factor 5 to 18, Monte-Carlo and sampling techniques a speed-up by a factor 5 to 10 and intrusive perturbation techniques a speed-up by a factor of 2.5. This was a major and necessary step towards industrial applicability of UQ methods. A fully integrated industrial software environment was presented, which aims at reducing the user experienced complexity of these methods and allows the analysis and design of complex industrial configurations.

Finally, future challenges identified by the consortium members and taken from the industrial practice were presented.

Document Details

AuthorWunsch. D
AudiencesAnalyst Manager
TypePresentation Recording
Date 26th March 2019


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