Optimization and HPC-Applications of the Flow Solver FLOWer

Johannes Letzgus (), Lukas Dürrwächter, Ulrich Schäferlein, Manuel Keßler and Ewald Krämer
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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)

A chapter in High Performance Computing in Science and Engineering ' 17, 2018, pp 305-322 from Springer

Abstract: 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.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-68394-2_18

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DOI: 10.1007/978-3-319-68394-2_18

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