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Jülich Aachen Research Alliance (JARA) High-Performance Computing Symposium

JHPCS 2016: High-Performance Scientific Computing pp 58–69Cite as

FEniCS-HPC: Coupled Multiphysics in Computational Fluid Dynamics

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10164))

Abstract

We present a framework for coupled multiphysics in computational fluid dynamics, targeting massively parallel systems. Our strategy is based on general problem formulations in the form of partial differential equations and the finite element method, which open for automation, and optimization of a set of fundamental algorithms. We describe these algorithms, including finite element matrix assembly, adaptive mesh refinement and mesh smoothing; and multiphysics coupling methodologies such as unified continuum fluid-structure interaction (FSI), and aeroacoustics by coupled acoustic analogies. The framework is implemented as FEniCS open source software components, optimized for massively parallel computing. Examples of applications are presented, including simulation of aeroacoustic noise generated by an airplane landing gear, simulation of the blood flow in the human heart, and simulation of the human voice organ.

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Acknowledgments

This research has been supported by the European Research Council, the EU-FET grant EUNISON 308874, the Swedish Research Council, the Swedish Foundation for Strategic Research, the Swedish Energy Agency, the Basque Excellence Research Center (BERC 2014-2017) program by the Basque Government, the Spanish Ministry of Economy and Competitiveness MINECO: BCAM Severo Ochoa accreditation SEV-2013-0323 and the Project of the Spanish Ministry of Economy and Competitiveness with reference MTM2013-40824. We acknowledge the Swedish National Infrastructure for Computing (SNIC) at PDC – Center for High-Performance Computing for awarding us access to the supercomputer resources Beskow. Initial volume meshes have been generated with ANSA from Beta-CAE Systems S. A., who generously provided an academic license for this project.

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Authors and Affiliations

  1. Department of Computational Science and Technology, KTH Royal Institute of Technology, Stockholm, Sweden

    Johan Hoffman, Johan Jansson, Niyazi Cem Degirmenci, Jeannette Hiromi Spühler, Rodrigo Vilela De Abreu & Niclas Jansson

  2. Basque Center for Applied Mathematics (BCAM), Bilbao, Spain

    Johan Hoffman & Johan Jansson

  3. Norwegian University of Science and Technology, Trondheim, Norway

    Aurélien Larcher

Authors
  1. Johan Hoffman
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  2. Johan Jansson
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  3. Niyazi Cem Degirmenci
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  4. Jeannette Hiromi Spühler
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  5. Rodrigo Vilela De Abreu
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  6. Niclas Jansson
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  7. Aurélien Larcher
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Corresponding author

Correspondence to Johan Hoffman .

Editor information

Editors and Affiliations

  1. Forschungszentrum Jülich, Jülich, Germany

    Edoardo Di Napoli

  2. Forschungszentrum Jülich, Jülich, Germany

    Marc-André Hermanns

  3. RWTH Aachen University, Aachen, Germany

    Hristo Iliev

  4. RWTH Aachen University, Aachen, Germany

    Andreas Lintermann

  5. Forschungszentrum Jülich, Jülich, Germany

    Alexander Peyser

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Hoffman, J. et al. (2017). FEniCS-HPC: Coupled Multiphysics in Computational Fluid Dynamics. In: Di Napoli, E., Hermanns, MA., Iliev, H., Lintermann, A., Peyser, A. (eds) High-Performance Scientific Computing. JHPCS 2016. Lecture Notes in Computer Science(), vol 10164. Springer, Cham. https://doi.org/10.1007/978-3-319-53862-4_6

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  • DOI: https://doi.org/10.1007/978-3-319-53862-4_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53861-7

  • Online ISBN: 978-3-319-53862-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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