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TILDA

Financiado

Towards Industrial LES DNS in Aeronautics Paving the Way for Future Accurate C...

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... ver más

31/12/2018

CADENCE DESIGN SYS...

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

CADENCE DESIGN SYSTEMS BELGIUM No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 12 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2018-12-31

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

MG-1.1-2014: Competitiveness of European Aviation through cost efficiency and innovation

I+D

Cerrada hace 10 años

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12 Participantes

CADENCE DESIGN SYSTEMS BELGI...

445.00K€ | Lider

TESEC SENALIZACIONES.

246.45K€ | Participante

CERFACS

240.00K€ | Participante

DASSAULT AVIATION

288.18K€ | Participante

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Duración del proyecto: 44 meses Fecha Inicio: 2015-04-17
Fecha Fin: 2018-12-31

Líder del proyecto

CADENCE DESIGN SYSTEMS BELGIUM

TRL 4-5

Presupuesto del proyecto 3M€

Descripción del proyecto 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.

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