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Adaptive unified continuum FEM modeling of a 3D FSI benchmark problem
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST).ORCID iD: 0000-0002-1695-8809
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST).ORCID iD: 0000-0003-4256-0463
2017 (English)In: International Journal for Numerical Methods in Biomedical Engineering, ISSN 2040-7939, E-ISSN 2040-7947, Vol. 33, no 9, e2851Article in journal (Refereed) Published
Abstract [en]

In this paper, we address a 3D fluid-structure interaction benchmark problem that represents important characteristics of biomedical modeling. We present a goal-oriented adaptive finite element methodology for incompressible fluid-structure interaction based on a streamline diffusion–type stabilization of the balance equations for mass and momentum for the entire continuum in the domain, which is implemented in the Unicorn/FEniCS software framework. A phase marker function and its corresponding transport equation are introduced to select the constitutive law, where the mesh tracks the discontinuous fluid-structure interface. This results in a unified simulation method for fluids and structures. We present detailed results for the benchmark problem compared with experiments, together with a mesh convergence study.

Place, publisher, year, edition, pages
Wiley-Blackwell , 2017. Vol. 33, no 9, e2851
Keyword [en]
adaptive finite element method, benchmark problem, fluid-structure interaction, Benchmarking, Computer programming, Diffusion in liquids, Finite element method, Mesh generation, Transport properties, Adaptive finite element, Adaptive finite element methods, Bench-mark problems, Bio-medical models, Fluid-structure interfaces, Incompressible fluid-structure interaction, Software frameworks, Streamline diffusion, Fluid structure interaction
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-216185DOI: 10.1002/cnm.2851ISI: 000409217800004Scopus ID: 2-s2.0-85017639985OAI: oai:DiVA.org:kth-216185DiVA: diva2:1160139
Note

QC 20171124

Available from: 2017-11-24 Created: 2017-11-24 Last updated: 2018-01-13Bibliographically approved

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Jansson, JohanHoffman, Johan

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Jansson, JohanDegirmenci, N. C.Hoffman, Johan
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