Mesh adaptation using adjoint methods and reduced-order models for large eddy simulation

  • Li, X. (author)
  • Hulshoff, S.J. (author)
  • Hickel, S. (author)
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Publication date
January 2021
Publisher
Scipedia, S.L.

Abstract

Adaptive mesh refinement (AMR) is potentially an effective way to automatically generate computational meshes for high-fidelity simulations such as Large Eddy Simulation (LES). Adjoint methods, which are able to localize error contributions, can be used to optimize the mesh for computing a physical quantity of interest (e.g. lift, drag) during AMR. When adjoint-based AMR techniques are applied to LES, primal flow solutions are needed to solve the adjoint problem backward in time due to the nonlinearity of Navier-Stokes equations. However, the resources required to store primal flow solutions can be huge, even prohibitive, in practical problems because of the long averaging time for computing statistical quantities. In this paper, a Reduced-...

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