The ExaQUte project, funded within the EU Horzion 2020 program, 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 are tackled by using a Multi Level MonteCarlo (MLMC) approach that allows a high number of stochastic variables. Gradient-based optimization techniques are extended to consider uncertainties by using methods to compute stochastic sensitivities.

With a proper definition of risk measures and constraints, these methods allow high-performance robust designs maximize the solution reliability. 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.

str.ucutre focus in the project is the application and industrial evaluation of the devleopped UQ and OUU methods in real-scale wind-engineering applications.