Fluid-solid interaction: benchmarking of an external coupling of ANSYS with CFX for cardiovascular applications

J Med Eng Technol. 2003 Jan-Feb;27(1):23-31. doi: 10.1080/0309190021000036862.

Abstract

Fluid-solid interaction is a primary feature of cardiovascular flows. There is increasing interest in the numerical solution of these systems as the extensive computational resource required for such studies becomes available. One form of coupling is an external weak coupling of separate solid and fluid mechanics codes. Information about the stress tensor and displacement vector at the wetted boundary is passed between the codes, and an iterative scheme is employed to move towards convergence of these parameters at each time step. This approach has the attraction that separate codes with the most extensive functionality for each of the separate phases can be selected, which might be important in the context of the complex rheology and contact mechanics that often feature in cardiovascular systems. Penrose and Staples describe a weak coupling of CFX for computational fluid mechanics to ANSYS for solid mechanics, based on a simple Jacobi iteration scheme. It is important to validate the coupled numerical solutions. An extensive analytical study of flow in elastic-walled tubes was carried out by Womersley in the late 1950s. This paper describes the performance of the coupling software for the straight elastic-walled tube, and compares the results with Womersley's analytical solutions. It also presents preliminary results demonstrating the application of the coupled software in the context of a stented vessel.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Arteries / physiology*
  • Arteries / surgery
  • Benchmarking / methods
  • Benchmarking / standards
  • Blood Flow Velocity / physiology
  • Blood Pressure / physiology
  • Computer Simulation*
  • Elasticity
  • Finite Element Analysis
  • Hemorheology / methods
  • Hemorheology / standards*
  • Models, Cardiovascular*
  • Motion
  • Predictive Value of Tests
  • Pulsatile Flow / physiology
  • Reproducibility of Results
  • Software Validation*
  • Stents