Objective
To meet the ACARE 2020 objectives, new green innovative A/C configurations are to be investigated. Following preparation of preliminary layout configuration for each green aircraft, optimization will need to be performed so as to help reaching improvements in the design solution, but also assess key factors and trades and point out innovative design options. In this framework, the conjunction of mature high-fidelity CFD analysis, HPC facilities, and the most advanced optimization algorithms is mandatory so as to maintain the computational effort within feasible limits. In this respect, the present proposal answers topic JTI-CS-2009-1-GRA-05-004, dedicated to the development of the high performance tools that will allow the efficient aerodynamic design of new configurations. An adequate and general answer to optimization based on computationally expensive analysis lies in the exploitation of surrogate models in lieu of the expensive analysis results, i.e. Surrogate-Based Optimization. However, the performance of such methods is known to be largely dependent on the following key elements: • the underlying optimization algorithm(s), • the surrogate model(s), • the training, • the surrogate model(s) management scheme. The present topic focuses on the second element to be handled by Proper Orthogonal Decomposition (POD). Cenaero possesses the expertise and critical technologies to tackle all these aspects in a coherent way to take a leap forward and make POD techniques truly efficient in an industrial setting. Cenaero proposes to implement and demonstrate on a GRA representative case an online (i.e. dynamic) non intrusive (Constrained) POD to perform the space reduction of the high-fidelity aerodynamic model, tackling the challenge of snapshot selection through innovative capture/recapture Design of Experiments and based on the most efficient generic interpolators for the reconstruction in the low-dimensional space.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology mechanical engineering vehicle engineering aerospace engineering aircraft
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
SP1-JTI-CS-2009-01
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
6041 Gosselies
Belgium
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.