Results2018-09-26T14:49:33+00:00

Deriverables

WP 1 Embedded methods

WP 2 Mesh generation and adaptivity
  • D 1.1: Solvers “stub” implementation of the capabilities to be delivered (available under request)

  • D 1.2: First internal release of the solvers

  • D 1.3: First public Release of the solvers

  • D 1.4: Final public Release of the solvers

  • D 2.2: First release of the octree mesh-generation capabilities and of the parallel mesh adaptation kernel

  • D 2.3: Adjoint-Based error estimation routines

  • D 2.4: Second Release of the mesh generation/adaptation capabilities

  • D 2.5: Final Release of the mesh generation/adaptation capabilities

WP 3 Space-time parallelization

WP 4 Dynamic scheduling for MLMC
  • D 3.1: Report on nonlinear domain decomisition preconditioners and release of the solvers

  • D 3.2: Report on parallel in time methods and release of the solvers

  • D 3.3: Release of a 4D embedded mesh generation library

  • D 3.4: Report on adjoint-based space time error estimators

  • D 3.5: Report on the calibration of parallel space time algorithms for turbulent flows

  • D 4.2: Profiling report of the partner’s tools

  • D 4.3: Benchmarking report as tested on the available infrastructure

  • D 4.4: API and runtime for IO using persistent storage

  • D 4.5: Framework development and release

WP 5 Algorithmic extensions of MLMC (UQ)

WP 6 Optimization under uncertainties
  • D 5.2: Release of ExaQUte MLMC python engine

  • D 5.3: Report on theoretical work to allow the use of MLMC with adaptive mesh refinement

  • D 5.4: Report on MLMC for time dependent problems

  • D 5.5: Report on the application of MLMC to wind engineering applications

  • D 6.1: Deterministic Optimization Software

  • D 6.2: Report on the calculation of stochastic sensitivities

  • D 6.3: Report on stochastic optimization for simplified problems

  • D 6.4: Report on stochastic optimization for unsteady problems

  • 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 7.1: Delivery of geometry and computational model

  • D 7.2: Finalization of “deterministic” verification and validation tests

  • D 7.3: Report on UQ results and overall user experience

  • D 7.4: Final report on Stochastic Optimization results

  • D 8.1: Data Management Plan

  • D 8.2: Report on dissemination activities

  • D 8.3 : Exploitation plan

  • 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