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Accueil > Activités > Projets R&D > CHORUS
CHORUS |
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Call: ANR MN Pour télécharger la fiche du projet : |
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Mise à jour : decembre 2014
All numerical models contain by nature a set of assumptions, simplifications and lack of knowledge that lead to a certain level of uncertainty of the simulation results. The engineering practices require advanced and scalable techniques to take risk-informed decisions in early designs, risk analysis or safety contexts. The CHORUS platform is a unique opportunity to ramp-up many existing initiatives on the subject in a structured way and give access to up-to-date methods to the R&T community. Indeed, there remain crucial challenges to face the current scalability problems: link with HPC capabilities, efficient development of reduced models and treatment of uncertainty for multi disciplinary problems. CHORUS aims at solidifying the scientific and technological bricks in an adequate eco system (SMEs, industrial groups, academic). Innovations are expected in three directions:
During this first year of activity, three workshops were organized by the consortium for all the community on the following topics: Model order reduction for parametric analyses and uncertainty quantification with applications, Kriging and Gaussian processes for computer experiments, Statistical learning methods for computer experiment (the slides are available on the GDR MASCOT website: http://www.gdr-mascotnum.fr/events.html). In parallel, new release of the open source softwares Open TURNS and Feel++ have integrated the first developments of the project (see www.openturns.org and www.feelpp.org) .
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Mise à jour : novembre 2014
The CHORUS platform tackles the growing need of quantitative uncertainty management during the risk analysis of complex systems in early design, certification or operating phases. By uncertainty management, we mean the ability to quantify, to propagate and to analyse the effects of uncertainties in a given modelling and simulation workflow. This is an opportunity to ramp-up many existing initiatives on the subject as there remain crucial challenges to face the current scalability problems: link with HPC capabilities, development of reduced models and treatment of multi disciplinary problems. CHORUS aims at solidifying the scientic and technological bricks in an adequate ecosystem (SMEs, industrial groups, academic).
CHORUS aims at echoing the initiatives in the scope of uncertainty management and filling remaining gaps for specific topics. As the community already exists with shared scientific and methodological references (GDR MASCOT, OpenTURNS, Dice..), it is very likely to irrigate the different applicative initiatives. This platform will be the cornerstone of scientific, applicative and software activities based on the generic requirements of realistic industrial use-cases: workshops, software publications, new service offer, initial and professional training are planned during the next four years. “Open” valorization and economic sustainability: The consortium gathers academic and applicative teams that already have a strong experience in the field of uncertainty management. To ensure the transfer capabilities, two thriving SMEs already positioned on this market will take opportunity of CHORUS to enhance their leadership either by commercializing a software solution or by providing services around it (installation, training, study) in an extended “eco-system” dealing with risk management (IRTs, Labex will benefit from the results).
Innovations are expected in three directions:
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Presentation of the project
