Space-Time and ALE-VMS Techniques for Patient-Specific Cardiovascular Fluid-Structure Interaction Modeling

Research output: Contribution to journalArticle

133 Citations (Scopus)

Abstract

This is an extensive overview of the core and special space-time and Arbitrary Lagrangian-Eulerian (ALE) techniques developed by the authors' research teams for patient-specific cardiovascular fluid-structure interaction (FSI) modeling. The core techniques are the ALE-based variational multiscale (ALE-VMS) method, the Deforming-Spatial-Domain/Stabilized Space-Time formulation, and the stabilized space-time FSI technique. The special techniques include methods for calculating an estimated zero-pressure arterial geometry, prestressing of the blood vessel wall, a special mapping technique for specifying the velocity profile at an inflow boundary with non-circular shape, techniques for using variable arterial wall thickness, mesh generation techniques for building layers of refined fluid mechanics mesh near the arterial walls, a recipe for pre-FSI computations that improve the convergence of the FSI computations, the Sequentially-Coupled Arterial FSI technique and its multiscale versions, techniques for the projection of fluid-structure interface stresses, calculation of the wall shear stress and oscillatory shear index, arterial-surface extraction and boundary condition techniques, and a scaling technique for specifying a more realistic volumetric flow rate. With results from earlier computations, we show how these core and special FSI techniques work in patient-specific cardiovascular simulations.

Original languageEnglish
Pages (from-to)171-225
Number of pages55
JournalArchives of Computational Methods in Engineering
Volume19
Issue number2
DOIs
Publication statusPublished - 2012 Jun 1

Keywords

  • ALE methods
  • Cardiovascular fluid mechanics
  • Cerebral aneurysms
  • Fluid-structure interactions
  • Left ventricular assist devices
  • Space-time methods
  • Special techniques
  • Total cavopulmonary connection

ASJC Scopus subject areas

  • Computer Science Applications
  • Applied Mathematics

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