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Optimization and HPC-Applications of the Flow Solver FLOWer

In: High Performance Computing in Science and Engineering ' 17

Author

Listed:
  • Johannes Letzgus

    (University of Stuttgart, Institute of Aerodynamics and Gas Dynamics (IAG))

  • Lukas Dürrwächter

    (University of Stuttgart, Institute of Aerodynamics and Gas Dynamics (IAG))

  • Ulrich Schäferlein

    (University of Stuttgart, Institute of Aerodynamics and Gas Dynamics (IAG))

  • Manuel Keßler

    (University of Stuttgart, Institute of Aerodynamics and Gas Dynamics (IAG))

  • Ewald Krämer

    (University of Stuttgart, Institute of Aerodynamics and Gas Dynamics (IAG))

Abstract

Recent optimizations and HPC-applications of the flow solver FLOWer are presented in this paper. A graph partitioning method is introduced to the MPI communication, which reduces the number of messages as well as the total message size, leading to a run time speed-up of 20%. A numerical investigation of a finite wing shows the influence of the wind tunnel wall only in the wing root area and agrees well with experimental data for attached flow. Both a URANS and a Delayed Detached-Eddy Simulation (DDES) of the massively stalled wing reveal difficulties in matching the experimental behaviour of flow separation. Finally, a simulation of a model Contra-Rotating Open Rotor (CROR) at various operating conditions exhibit interaction effects, blade loadings and noise emissions which agree well with expectations and results from literature.

Suggested Citation

  • Johannes Letzgus & Lukas Dürrwächter & Ulrich Schäferlein & Manuel Keßler & Ewald Krämer, 2018. "Optimization and HPC-Applications of the Flow Solver FLOWer," Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering ' 17, pages 305-322, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-68394-2_18
    DOI: 10.1007/978-3-319-68394-2_18
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