The ExaQUte project aims at constructing a framework to enable Uncertainty Quantification and Optimization Under Uncertainties in complex engineering problems, using computational simulations on Exascale systems.
ExaQUte General Objective
computational methods and
To target Uncertainty Quantification and Optimization Under Uncertainties for Multiphysics and multiscale problems on geometrically complex domains.
Taking advantage of
Develop a scheduling tool to extract parallelism in the MLMC algorithm across samples and levels.
Develop embedded solvers
Develop parallel adaptive refinement methods for
Develop space‐time methods
for the numerical simulation
of multiphysics problems.
Extend the MLMC
to use an adaptively refined space‐time mesh hierarchy.
Combine MLMC methods with gradient‐based optimization techniques based on adjoint problems.
Shape optimization of civil engineering structures subjected to wind flow.
WP 1 Embedded methods
WP 2 Mesh generation and adaptivity
D 2.5: Final Release of the mesh generation/adaptation capabilities
WP 3 Space-time parallelization
WP 4 Dynamic scheduling for MLMC
D 3.3: Report of ensemble based parallelism for turbulent flows and release of solvers
D 3.4: Report on the calibration of parallel methods for transient problems in wind engineering
D 4.5: Framework development and release
WP 5 Algorithmic extensions of MLMC (UQ)
WP 6 Optimization under uncertainties
D 5.5: Report on the application of MLMC to wind engineering applications
D 6.5: Report on stochastic optimization for wind engineering
WP 7 Application to robust shape optimization of structures under wind loads
WP 8 Dissemination and exploitation
D 7.4: Final report on Stochastic Optimization results
D 8.4 : Report on dissemination activities
WP 9 Project management
D 9.1: Periodic technical, administrative and financial report
D 9.2: Periodic technical, administrative and financial report