RIBESProject reference: 632556
Funded under :
Radial basis functions at fluid Interface Boundaries to Envelope flow results for advanced Structural analysis
Total cost:EUR 292 000
EU contribution:EUR 219 000
Topic(s):JTI-CS-2013-2-GRA-01-052 - Development of methods and SW tools for implementation of accurate transfer of loads between numerical models
Call for proposal:SP1-JTI-CS-2013-02See other projects for this call
Funding scheme:JTI-CS - Joint Technology Initiatives - Clean Sky
In the framework of Clean Sky2, Green Regional Aircraft - GRA - will deliver low-weight aircraft using smart structures. With the aim of mitigating environmental impact through a substantial reduction of pollutant emissions and fuel consumption, a reliable numerical methodology is required to accurately optimise the weight. The design process implies using of CFD and FEM structural models. Then the object of the Area-01 - Low weight configurations requires, in particular, the development and validation of methodologies and software tools for the implementation of accurate transfer of loads between numerical models, to guarantee a safer design workflow that allows a reduction of uncertainties, gaining the goal of weight reduction. This problem poses a technological challenge especially for numerical models of complex aerospace structures where flow data exchange between non conformal CFD and FEM meshes, has to be performed on huge calculation models (several millions cells).
The research project proposes an innovative approach for loads mapping based on Radial Basis Functions (RBF) theory and RIBES software implementation. A technology previously developed in the field of mesh morphing (RBF Morph™) capable to deal with large dataset (millions of points) will be used to enable an accurate mapping. The meshless nature of the method facilitates all the complex tasks needed to properly exchange information between meshes. The effectiveness of the approach will be demonstrated on an aeronautic wing structure by means of numerical and experimental checks and by a quantitative estimation of weight reduction obtained using the optimization module included in the RIBES application.
EU contribution: EUR 219 000
VIA ORAZIO RAIMONDO 18