Abstract
For many years, discontinuous Galerkin (DG) methods have been proving their value as highly efficient, very well scalable high-order methods for computational fluid dynamics (CFD) calculations. However, they have so far mainly been applied in the academic environment and the step toward an application in industry is still waited for. In this article, we report on our project that aims at creating a comprehensive CFD software that makes highly resolved unsteady industrial DG calculations an option. First, our focus lies on the adaptation of the solver itself to industrial problems and the optimization of the parallelization efficiency. Second, we present a visualization tool specifically tailored to the properties of DG data that will be combined with the solver to obtain an in-situ visualization strategy within our project in the near future.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ducros, F., Ferrand, V., Nicoud, F., Weber, C., Darracq, D., Gacherieu, C., Poinsot, T.: Large-eddy simulation of the shock/turbulence interaction. J. Comput. Phys. 152(2), 517–549 (1999)
Flad, D.G., Frank, H.M., Beck, A.D., Munz, C.-D.: A discontinuous Galerkin spectral element method for the direct numerical simulation of aeroacoustics. In: Proceedings of the American Institute of Aeronautics and Astronautics (2014)
Hempert, F., Hoffmann, M., Iben, U., Munz, C.-D.: On the simulation of industrial gas dynamic applications with the discontinuous Galerkin spectral element method. In: Proceedings of the 12th International Symposium on Experimental and Computational Aerothermodynamics of Internal Flows (2015)
Hindenlang, F., Gassner, G., Altmann, C., Beck, A., Staudenmaier, M., Munz, C.-D.: Explicit discontinuous Galerkin methods for unsteady problems. Comput. Fluids 61, 86–93 (2012)
Kraus, T., Hindenlang, F., Harlacher, D.F., Munz, C.-D., Roller, S.: Direct aeroacoustic simulation of near field noise during a gas injection process with a discontinuous Galerkin approach. In: Proceedings of the 33rd AIAA Aeroacoustics Conference (2012)
Persson, P.-O., Peraire, J.: Sub-cell shock capturing for discontinuous Galerkin methods. In: Proceedings of the American Institute of Aeronautics and Astronautics, vol. 112 (2006)
Pruett, C., Thomas, B., Grosch, C., Gatski, T.: A temporal approximate deconvolution model for large-eddy simulation. Phys. Fluids 18(2), 8104 (2006)
Robert, B.G.: One million natural gas injection valves produced, Press Release (2010)
Schmidt, A.: Experimentelle Untersuchung einer Gasströmung durch ein CNG-Injektorventil mittels Particle-Image-Velocimetry (PIV). Master’s thesis, Institute of Mechanics of the University of Kassel (2012)
Sonntag, M., Munz, C.-D.: Shock capturing for discontinuous Galerkin methods using finite volume subcells. In: Finite Volumes for Complex Applications VII-Elliptic, Parabolic and Hyperbolic Problems. Springer Proceedings in Mathematics & Statistics, vol. 78, pp. 945–953. Springer, Berlin (2014)
Üffinger, M., Frey, S., Ertl, T.: Interactive high-quality visualization of higher-order finite elements. Comput. Graphics Forum 29(2), 337–346 (2010)
Utkarsh A.: The ParaView Guide. Kitware Inc. www.kitware.com (2015)
Acknowledgements
This work is supported by the Federal Ministry of Education and Research (BMBF) within the HPC III project HONK “Industrialization of high-resolution numerical analysis of complex flow phenomena in hydraulic systems”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Boblest, S. et al. (2016). Toward a Discontinuous Galerkin Fluid Dynamics Framework for Industrial Applications. In: Nagel, W., Kröner, D., Resch, M. (eds) High Performance Computing in Science and Engineering ’15. Springer, Cham. https://doi.org/10.1007/978-3-319-24633-8_34
Download citation
DOI: https://doi.org/10.1007/978-3-319-24633-8_34
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-24631-4
Online ISBN: 978-3-319-24633-8
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)