Experiment for validation of fluid-structure interaction models and algorithms.
Autor: | Hessenthaler A; Institute of Applied Mechanics (CE), University of Stuttgart, Pfaffenwaldring 7, 70569 Stuttgart, Germany., Gaddum NR; Division of Imaging Sciences and Biomedical Engineering, King's College London, 4th Floor, Lambeth Wing St. Thomas Hospital London, SE1 7EH, UK., Holub O; Division of Imaging Sciences and Biomedical Engineering, King's College London, 4th Floor, Lambeth Wing St. Thomas Hospital London, SE1 7EH, UK., Sinkus R; Division of Imaging Sciences and Biomedical Engineering, King's College London, 4th Floor, Lambeth Wing St. Thomas Hospital London, SE1 7EH, UK., Röhrle O; Institute of Applied Mechanics (CE), University of Stuttgart, Pfaffenwaldring 7, 70569 Stuttgart, Germany., Nordsletten D; Division of Imaging Sciences and Biomedical Engineering, King's College London, 4th Floor, Lambeth Wing St. Thomas Hospital London, SE1 7EH, UK. |
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Jazyk: | angličtina |
Zdroj: | International journal for numerical methods in biomedical engineering [Int J Numer Method Biomed Eng] 2017 Sep; Vol. 33 (9). Date of Electronic Publication: 2017 Jan 27. |
DOI: | 10.1002/cnm.2848 |
Abstrakt: | In this paper a fluid-structure interaction (FSI) experiment is presented. The aim of this experiment is to provide a challenging yet easy-to-setup FSI test case that addresses the need for rigorous testing of FSI algorithms and modeling frameworks. Steady-state and periodic steady-state test cases with constant and periodic inflow were established. Focus of the experiment is on biomedical engineering applications with flow being in the laminar regime with Reynolds numbers 1283 and 651. Flow and solid domains were defined using computer-aided design (CAD) tools. The experimental design aimed at providing a straightforward boundary condition definition. Material parameters and mechanical response of a moderately viscous Newtonian fluid and a nonlinear incompressible solid were experimentally determined. A comprehensive data set was acquired by using magnetic resonance imaging to record the interaction between the fluid and the solid, quantifying flow and solid motion. (Copyright © 2016 The Authors. International Journal for Numerical Methods in Biomedical Engineering published by John Wiley & Sons Ltd.) |
Databáze: | MEDLINE |
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