eCFD for Benchmarking

NLR strives for the generation of new knowledge about flow physics, and the advancement of the modeling thereof, within the worldwide communities of aerospace engineers, scientists and academics.

  • NLR is prepared to collaborate in a partnership, where knowledge transfer from NLR will be an important aspect throughout the initiation phase (Veni), the setup phase (Vidi), and/or the Computing/Analysis phase (Vici).
  • NLR encourages the use of methods developed at NLR for the purpose of benchmarking, c.q. for code-to-code comparison (see references for more details).

Please contact us on how to get an eCFD account to start using NLR methods in the fields identified below.

Hybrid RANS/LES

NLR-XLES

X-LES makes it affordable to simulate unsteady flows with rich frequency contents, such as massively separated flows.

Higher-order method

NLR-HO

The development of higher-order methods at NLR aims at a balance between computational complexity and resources to afford a desired accuracy in large scale CFD simulations.

Aeroelasticity

NLR-AE

One of the challenging real-life issues faced by NLR’s aeroelastic method is to predict fatigue-life consumption of an operational fighter aircraft.

Adjoint method

NLR-adjoint

NLR’s adjoint method signifantly reduces the computational and human effort required to deal with design optimization problems with stringent constraints.

Aeroacoustics

NLR-aeroac

One of the most challenging issues faced by NLR’s aeroacoustic method is to map environmental noise implied by the aviation.

6-DOF motion

NLR-6dof

Coupling the Navier-Stokes equations with the 6-DOF equations of motion allows NLR to provide support to resolve store separation issues.