LES of Temporally Evolving Turbulent Cavitating Shear Layers

Christian Egerer (), Stefan Hickel, Steffen Schmidt and Nikolaus A. Adams
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Christian Egerer: Technische Universität München, Lehrstuhl für Aerodynamik und Strömungsmechanik
Stefan Hickel: Technische Universität München, Lehrstuhl für Aerodynamik und Strömungsmechanik
Steffen Schmidt: Technische Universität München, Lehrstuhl für Aerodynamik und Strömungsmechanik
Nikolaus A. Adams: Technische Universität München, Lehrstuhl für Aerodynamik und Strömungsmechanik

A chapter in High Performance Computing in Science and Engineering ‘14, 2015, pp 367-378 from Springer

Abstract: Abstract We present LES results of temporally evolving cavitating shear layers. Cavitation is modeled by a homogeneous equilibrium mixture model whereas the effect of subgrid-scale turbulence is accounted for by the Adaptive Local Deconvolution Method (ALDM). We quantitatively compare LES results with experimental data available in the literature. In terms of computational performance, we present a strong scaling study of our MPI-parallelized in-house Fortran code INCA on Cray XE6 “Hermit” at the High Performance Computeing Center Stuttgart (HLRS).

Keywords: Shear Layer; Grid Block; Cavitation Number; Adaptive Mesh Refinement; Vapor Cavity (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-10810-0_25

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DOI: 10.1007/978-3-319-10810-0_25

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