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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.

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)

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BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION

Spain

EU Contribution

€ 316 000

TECHNISCHE UNIVERSITAET MUENCHEN

Germany

EU Contribution

€ 628 125

INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE

France

EU Contribution

€ 298 630

VYSOKA SKOLA BANSKA - TECHNICKA UNIVERZITA OSTRAVA

Czechia

EU Contribution

€ 320 000

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE

Switzerland

EU Contribution

€ 523 500

UNIVERSITAT POLITECNICA DE CATALUNYA

Spain

EU Contribution

€ 257 000

str.ucture GmbH

Germany

EU Contribution

€ 82 500

Project information

Grant agreement ID: 800898

Status

Ongoing project

  • Start date

    1 June 2018

  • End date

    31 May 2021

Funded under:

H2020-EU.1.2.2.

  • Overall budget:

    € 3 124 255

  • EU contribution

    € 3 124 255

Coordinated by:

CENTRE INTERNACIONAL DE METODES NUMERICS EN ENGINYERIA

Spain