Section: Partnerships and Cooperations

European Initiatives

FP7 Projet

IDIHOM

• Title: Industrialisation of High-Order Methods- A Top-Down Approach

• Type: COOPERATION (TRANSPORTS)

• Instrument: Specific Targeted Research Project (STREP)

• Duration: October 2010 - September 2013

• Coordinator: Deutsches Zentrum fur Luft und Raumfahrt (Germany)

• Others partners: Dassault Aviation (France), EADS Deutschland GmbH, Cassidian Air System (Allemagne), CENAERO (Belgique), NUMECA (Belgique), ARA (UK), Swedish Defence Research Agency (Suède), NLR (Pays Bas), ONERA (France), TSAGI (Russie), VKI (Belgique), ENSAM (France), Imperial College London (UK), Université de Bergamo (Italie), Université de Brescia (Italie), Université de Stuttgart (Allemagne), Poznan University of Technology (Pologne), Warsaw University of Technology (Pologne), Université de Linköping (Suède), Université catholique de Louvain (Belgique).

• See also: http://www.dlr.de/as/en/desktopdefault.aspx/tabid-7027/11654_read-27492/

• Abstract: The IDIHOM project is motivated by the increasing demand of the European aerospace industry to advance their CFD-aided design procedure and analysis by using accurate and fast numerical methods, so-called high-order methods. They will be assessed and improved in a top-down approach by utilizing industrially relevant complex test cases, so-called application chalenges in the general area of turbulent steady and unsteady aerodynamic flows, covering external and internal aerodynamics as well as aeroelastic and aeroacoustic applications.

Collaborations in European Programs, except FP7

• Program: IDEAS program, European Research Council

• Project acronym: ADDECCO

• Project title: ADaptive schemes for DEterministic and stoChastiC Flow PrOblems

• Duration: December 2008-November 2013

• Coordinator: Rémi Abgrall

• Other partners: none

• Abstract: The numerical simulation of complex compressible flow problem is still a challenge nowadays, even for the simplest physical model such as the Euler and Navier Stokes equations for perfect gases. Researchers in scientific computing need to understand how to obtain efficient, stable, very accurate schemes on complex 3D geometries that are easy to code and to maintain, with good scalability on massively parallel machines. Many people work on these topics, but our opinion is that new challenges have to be tackled in order to combine the outcomes of several branches of scientific computing to get simpler algorithms of better quality without sacrificing their efficiency properties. In this proposal, we will tackle several hard points to overcome for the success of this program.

  We first consider the problem of how to design methods that can handle easily mesh refinement, in particular near the boundary, the locations where the most interesting engineering quantities have to be evaluated. CAD tools enable to describe the geometry, then a mesh is generated which itself is used by a numerical scheme. Hence, any mesh refinement process is not directly connected with the CAD. This situation prevents the spread of mesh adaptation techniques in industry and we propose a method to overcome this even for steep problems.

  Second, we consider the problem of handling the extremely complex patterns that occur in a flow because of boundary layers: it is not always sufficient to only increase the number of degrees of freedom or the formal accuracy of the scheme. We propose to overcome this with class of very high order numerical schemes that can utilise solution dependent basis functions.

  Our third item is about handling unsteady uncertainties in the model, for example in the geometry or the boundary conditions. This need to be done efficiently: the amount of computation increases a priori linearly with the number of uncertain parameters. We propose a non–intrusive method that is able to deal with general probability density functions (pdf), and also able to handle pdfs that may evolve during the simulation via a stochastic optimization algorithm, for example. This will be combined with the first two items of this proposal. Many random variables may be needed, the curse of dimensionality will be dealt thanks to multiresolution method combined with sparse grid methods.

  The aim of this proposal is to design, develop and evaluate solutions to each of these challenges. Currently, and up to our knowledge, none of these problems have been dealt with for compressible flows with steep patterns as in many moderns aerodynamics industrial problems. We propose a work program that will lead to significant breakthroughs for flow simulations with a clear impact on numerical schemes and industrial applications. Our solutions, though developed and evaluated on flow problems, have a wider potential and could be considered for any physical problem that are essentially hyperbolic.

Major European Organizations with which you have followed Collaborations

• Partner 1: von Karman Institute (Belgique)

• Topic : Uncertainty quantification for hypersonic flows

• Partner 2: von Karman Institute (Belgique)

• Topic : Numerical approximation of compressible flows with residual distribution schemes

• Partner 3: School of Computing, Leeds University (England)

• Topic : Numerical approximation of free surface flows with residual distribution schemes

• Partner 4: ONERA (France)

• Topic : Numerical approximation of compressible flows with residual distribution schemes