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EXAscale Quantification of Uncertainties for Technology and Science Simulation

Objective

The ExaQUte project aims at constructing a framework to enable Uncertainty Quantification (UQ) and Optimization Under Uncertainties (OUU) in complex engineering problems using computational simulations on Exascale systems.
The stochastic problem of quantifying uncertainties will be tackled by using a Multi Level MonteCarlo (MLMC) approach that allows a high number of stochastic variables. New theoretical developments will be carried out to enable its combination with adaptive mesh refinement, considering both, octree-based and anisotropic mesh adaptation.
Gradient-based optimization techniques will be extended to consider uncertainties by developing methods to compute stochastic sensitivities, This requires new theoretical and computational developments. With a proper definition of risk measures and constraints, these methods allow high-performance robust designs, also maximizing the solution reliability.
The description of complex geometries will be possible by employing embedded methods, which guarantee a high robustness in the mesh generation and adaptation steps, while allowing preserving the exact geometry representation.
The efficient exploitation of Exascale system will be addressed by combining State-of-the-Art dynamic task-scheduling technologies with space-time accelerated solution methods, where parallelism is harvested both in space and time.
The methods and tools developed in ExaQUte will be applicable to many fields of science and technology. The chosen application focuses on wind engineering, a field of notable industrial interest for which currently no reliable solution exists. This will include the quantification of uncertainties in the response of civil engineering structures to the wind action, and the shape optimization taking into account uncertainties related to wind loading, structural shape and material behavior.
All developments in ExaQUte will be open-source and will follow a modular approach, thus maximizing future impact.

Call for proposal

H2020-FETHPC-2017
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Funding Scheme

RIA - Research and Innovation action

Coordinator

CENTRE INTERNACIONAL DE METODES NUMERICS EN ENGINYERIA
Address
C Gran Capitan, Edifici C1, Campus Nord Upc Sn
08034 Barcelona
Spain
Activity type
Research Organisations
EU contribution
€ 698 500

Participants (7)

BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION
Spain
EU contribution
€ 316 000
Address
Calle Jordi Girona 31
08034 Barcelona
Activity type
Research Organisations
TECHNISCHE UNIVERSITAET MUENCHEN
Germany
EU contribution
€ 628 125
Address
Arcisstrasse 21
80333 Muenchen
Activity type
Higher or Secondary Education Establishments
INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
France
EU contribution
€ 298 630
Address
Domaine De Voluceau Rocquencourt
78153 Le Chesnay Cedex
Activity type
Research Organisations
VSB - TECHNICAL UNIVERSITY OF OSTRAVA
Czechia
EU contribution
€ 320 000
Address
17 Listopadu 2172/15
708 00 Ostrava Poruba
Activity type
Higher or Secondary Education Establishments
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Switzerland
EU contribution
€ 523 500
Address
Batiment Ce 3316 Station 1
1015 Lausanne
Activity type
Higher or Secondary Education Establishments
UNIVERSITAT POLITECNICA DE CATALUNYA
Spain
EU contribution
€ 257 000
Address
Calle Jordi Girona 31
08034 Barcelona
Activity type
Higher or Secondary Education Establishments
STR.UCTURE GMBH
Germany
EU contribution
€ 82 500
Address
Lindenspurstrasse 32
70176 Stuttgart
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)