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Related Experiment Videos

Requirements for mesh resolution in 3D computational hemodynamics.

S Prakash1, C R Ethier

  • 1Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada M 5S 3G8.

Journal of Biomechanical Engineering
|May 9, 2001
PubMed
Summary

Accurate computational hemodynamics requires careful mesh refinement. Adaptive mesh refinement (AMR) is superior to conventional meshing for resolving wall shear stress (WSS) in realistic artery models, demanding more nodes than initially expected.

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Area of Science:

  • Computational fluid dynamics (CFD)
  • Biomedical engineering
  • Cardiovascular research

Background:

  • Computational techniques are crucial for studying large artery hemodynamics.
  • Analyzing flow in anatomically realistic arteries is a growing trend.
  • Generating accurate computational meshes for complex geometries and flow features remains a challenge.

Purpose of the Study:

  • To investigate the impact of mesh characteristics on velocity and wall shear stress (WSS) patterns.
  • To compare conventional meshing with adaptive mesh refinement (AMR) for hemodynamic simulations.

Main Methods:

  • Simulated blood flow in a human right coronary artery (RCA) using a Navier-Stokes solver.
  • Employed unstructured high-order tetrahedral finite element meshes.

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  • Compared results from conventional meshes (60k-160k nodes) with AMR-generated meshes.

    • Main Results:

    • Mesh-independent velocity fields were achievable with both meshing strategies.
    • Wall shear stress (WSS) and WSS gradients were significantly harder to resolve accurately.
    • Conventional meshes did not consistently approach WSS mesh-independence; AMR required ~190k nodes for <10% WSS error.

    Conclusions:

    • Achieving mesh-independence for WSS requires a substantial number of nodes.
    • Solution-adaptive mesh refinement is the preferred method for accurate WSS computation.
    • Appreciable errors in WSS and WSS gradients can exist even with mesh-independent velocity fields.