FEniCS-HPC: Coupled Multiphysics in Computational Fluid Dynamics
2017 (English)In: High-Performance Scientific Computing: Jülich Aachen Research Alliance (JARA) High-Performance Computing Symposium / [ed] Edoardo Di Napoli, Marc-André Hermanns, Hristo Iliev, Andreas Lintermann, Alexander Peyser, Springer, 2017, 58-69 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
Springer, 2017. 58-69 p.
Lecture Notes in Computer Science, ISSN 0302-9743 ; 10164
FEniCS, Unicorn, Eunison, High-performance computing, Multiphysics, Computational fluid dynamics, Adaptive finite element method
Computational Mathematics Computer Science
IdentifiersURN: urn:nbn:se:kth:diva-202694DOI: 10.1007/978-3-319-53862-4_6ISBN: 978-3-319-53861-7 (print)ISBN: 978-3-319-53862-4 (electronic)OAI: oai:DiVA.org:kth-202694DiVA: diva2:1078151
Jülich Aachen Research Alliance (JARA) High-Performance Computing Symposium
QC 201703142017-03-022017-03-022017-03-14Bibliographically approved