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Experiment for validation of fluid-structure interaction models and algorithms.

A Hessenthaler1, N R Gaddum2, O Holub2

  • 1Institute of Applied Mechanics (CE), University of Stuttgart, Pfaffenwaldring 7, 70569 Stuttgart, Germany.

International Journal for Numerical Methods in Biomedical Engineering
|November 5, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a novel fluid-structure interaction (FSI) experiment for rigorous algorithm testing. The developed test case, focusing on biomedical applications, provides essential data for validating FSI models.

Keywords:
benchmark experiment, fluid-structure interaction, MRI, validation

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Area of Science:

  • Biomedical Engineering
  • Fluid Dynamics
  • Solid Mechanics

Background:

  • Rigorous testing of fluid-structure interaction (FSI) algorithms and modeling frameworks is crucial.
  • Existing test cases may not adequately address the complexity of real-world applications.

Purpose of the Study:

  • To present a challenging yet easy-to-setup FSI experiment.
  • To establish steady-state and periodic steady-state test cases with defined inflow conditions.
  • To provide a benchmark dataset for validating FSI algorithms in biomedical engineering.

Main Methods:

  • Experimental setup designed for straightforward boundary condition definition.
  • Computer-aided design (CAD) tools used for defining flow and solid domains.
  • Magnetic resonance imaging (MRI) employed for comprehensive data acquisition.
  • Experimental determination of material parameters and mechanical response for a Newtonian fluid and a nonlinear solid.

Main Results:

  • Established steady-state and periodic steady-state test cases.
  • Acquired a comprehensive dataset quantifying fluid and solid motion.
  • Flow characterized in the laminar regime with Reynolds numbers 1283 and 651.
  • Detailed characterization of a moderately viscous Newtonian fluid and a nonlinear incompressible solid.

Conclusions:

  • The presented FSI experiment provides a valuable and accessible test case.
  • The acquired data set is suitable for rigorous validation of FSI algorithms and models.
  • The experimental design facilitates the study of fluid-structure interactions in biomedical engineering contexts.