Projet IODA (Horizon 2020, appel à projets 2014)
Action : Doctoral Networks
Panel : Information Science and Engineering
Statut du projet : CLOSED

Adjoint-based methods have become the most interesting approach in numerical optimisation using Computational Fluid Dynamics (CFD) due to their low computational cost compared to other approaches. The development of adjoint solvers has seen significant research interest, and a number of EC projects have been funded on adjoint-based optimisation. In particular, partners of this proposal are members of the EC FP7 projects FlowHead and AboutFlow which develops complete adjoint-based design methods for steady-state and unsteady flows in industrial design. Two related bottlenecks of applying goal-based optimisation in CFD are addressed here a) the efficient but flexible and automatic parametrisation of arbitrary shapes, and b) the imposition of design constraints. Parametrisation is at the core of optimisation, it defines the design space that the optimising algorithm is exploring. A range of parametrisations will be developed in the project, ranging from simple CAD-free methods with rich design spaces to CAD-based methods that return the optimised shape in CAD form. Integration of the currently available shape and topology modification approaches with the gradient-based optimisation approach will be addressed, in particular development of interfaces to return optimised CAD-free shapes into CAD for further design and analysis, an aspect that currently requires manual interpretation by an expert user. Constraints are at the core of industrial design, e.g. an optimised climate ducts for a vehicle needs to fit into the available build space. The project will develop efficient ways to extract constraints specified in the CAD model and apply them to CAD-free parametrisations. Methods will be developed to quantify how much the limited design space impairs the optimum and then to adaptively refine it. The results of the project will be applied to realistic mid-size and large-scale industrial optimisation problems supplied by the industrial project partners ranging from

Mots clés : computational fluid dynamics, adjoint methods, gradient based optimisation

Participants :
- Paderborn University (Allemagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 249216.48 €
- Rolls-Royce (Germany) (Allemagne) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 249216.48 €
- Queen's University Belfast (Royaume-Uni) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 273287.88 €
- ESI Group (Germany) (Allemagne) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 249216.48 €
- Engys srl (Italie) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 516122.64 €
- Von Karman Institute for Fluid Dynamics (Belgique) — Partner, beneficiary, Recherche, subvention : 501120.0 €
- University of London (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 819863.64 €
- National Technical University of Athens (Grèce) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 484773.84 €
- Volkswagen Group (Germany) (Allemagne) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 249216.48 €
- Open cascade (France) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 262875.6 €