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.
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Acknowledgements
The provided supercomputing time and technical support of the High Performance Computing Center Stuttgart (HLRS) of the University of Stuttgart within the HELISIM project is gratefully acknowledged. Parts of the research presented in this study were supported by Deutsche Forschungsgemeinschaft (DFG) within the projects Untersuchung der dreidimensionalen dynamischen Strömungsablösung an Rotorblättern and Numerical Investigation of the Noise Emission of Integrated Counter-Rotating Open Rotors.
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Letzgus, J., Dürrwächter, L., Schäferlein, U., Keßler, M., Krämer, E. (2018). Optimization and HPC-Applications of the Flow Solver FLOWer. In: Nagel, W., Kröner, D., Resch, M. (eds) High Performance Computing in Science and Engineering ' 17 . Springer, Cham. https://doi.org/10.1007/978-3-319-68394-2_18
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DOI: https://doi.org/10.1007/978-3-319-68394-2_18
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