TILDAProject ID: 635962
Finanziato nell'ambito di:
Towards Industrial LES/DNS in Aeronautics – Paving the Way for Future Accurate CFD
Dettagli del progetto
Costo totale:EUR 3 048 742,50
Contributo UE:EUR 2 706 241,75
Argomento (i):MG-1.1-2014 - Competitiveness of European Aviation through cost efficiency and innovation
Invito a presentare proposte:H2020-MG-2014_TwoStagesSee other projects for this call
Meccanismo di finanziamento:RIA - Research and Innovation action
The ability to simulate aerodynamic flows using CFD methods has progressed rapidly over the last decades and has given rise to a change in design processes in aeronautics already. But more improvement is necessary to overcome the (still) existing lack in confidence in CFD usage, based on turbulence modelling. The TILDA project will offer methods and approaches combining advanced and efficient high-order numerical schemes (HOMs) with innovative approaches for LES and DNS in order to resolve all relevant flow features on tens of thousands of processors in order to get close to a full LES/DNS solution for 1billion degrees-of-freedom (DOF) not exceeding turn-around times of a few days.
The TILDA project will provide both an improved physical knowledge and more accurate predictions of non-linear, unsteady flows – near borders of the flight envelope - which will directly contribute to an enhanced reliability. The main highly innovative objectives, targeting at industrial needs read:
• Advance methods to accelerate HOM for unsteady turbulence simulations on unstructured grids.
• Advance methods to accelerate LES and future DNS methodology by multilevel, adaptive, fractal and similar approaches on unstructured grids.
• Use existent large scale HPC networks to enable industrial applications of LES/DNS close(r) to daily practice. Compact high-order methods offer a very high ratio between computational work per DOF combined to a low data dependency stencil, making these methods extremely well adapted for shared-memory parallel processors, and allow for efficient redistribution over an increased number of processors.
• Provide grid generation methods for HOM on unstructured grids with emphasis on valid curvilinear meshes for complex geometries, and accounting for mesh and solution quality.
• Provide suitable I/O and interactive co- and post-processing tools for large datasets.
• Demonstration of multi-disciplinary capabilities of HOM for LES in the area of aero-acoustics.
Contributo UE: EUR 445 000
CHAUSSEE DE LA HULPE 187-189
Contributo UE: EUR 233 261
Contributo UE: EUR 316 256
CHEMIN DE LA HUNIERE
Contributo UE: EUR 288 175
9 ROND POINT CHAMPS-ELYSEES-MARCEL DASSAULT
Contributo UE: EUR 199 062,50
BLVD DU GAL MARTIAL VALIN 2
75015 PARIS 15
Contributo UE: EUR 240 000
Avenue Gaspard Coriolis 42
Contributo UE: EUR 239 952,50
Batiment Eole, 1er étage - rue des Frères Wright 29
Contributo UE: EUR 262 906
PLACE DE L UNIVERSITE 1
1348 LOUVAIN LA NEUVE
Contributo UE: EUR 250 000
VIA SALVECCHIO 19
Contributo UE: EUR 231 628,75
SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
SW7 2AZ LONDON
Contributo UE: EUR 0
Zhukovsky str 1