FEnics-HPC: Coupled multiphysics in computational fluid dynamics

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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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Hoffman, J., Jansson, J., Degirmenci, N. C., Spühler, J. H., De Abreu, R. V., Jansson, N., & Larcher, A. (2017). FEnics-HPC: Coupled multiphysics in computational fluid dynamics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10164 LNCS, pp. 58–69). Springer Verlag. https://doi.org/10.1007/978-3-319-53862-4_6

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