Scientific article
Open access

Model for pressure drop and flow deflection in the numerical simulation of stents in aneurysms

Publication date2018

The numerical simulation of flow diverters like stents contributes to the development and improvement of endovascular stenting procedures, leading ultimately to an improved treatment of intracranial aneurysms. Due to the scale difference between the struts of flow diverters and the full artery, it is common to avoid fully resolved simulations at the level of the stent porosity. Instead, the effect of stents on the flow is represented by a heuristic continuum model. However, the commonly used porous media models describe the properties of flow diverters only partially, because they do not explicitly account for the deflection of the flow direction by the stent. We show that this deficiency can be circumvented by adopting the theoretical framework of screen models. The article first reviews existing screen models. It then proposes an explicit formula for the drag and the deflection coefficient, as predicted by each model, for both perpendicular and inclined angles. The results of 2D numerical simulations are used to formulate a generalization of these formulas, to achieve best results in the case of stent modeling. The obtained model is then validated, again through 2D numerical simulation.

  • Aneurysm
  • CFD
  • Lattice Boltzmann
  • Screen model
  • Stent
  • European Commission - A Centre of Excellence in Computational Biomedicine [675451]
Citation (ISO format)
LI, Sha, LATT, Jonas, CHOPARD, Bastien. Model for pressure drop and flow deflection in the numerical simulation of stents in aneurysms. In: International Journal for Numerical Methods in Biomedical Engineering, 2018, vol. 34, n° 3, p. e2949. doi: 10.1002/cnm.2949
Main files (2)
Article (Accepted version)
Article (Published version)
ISSN of the journal2040-7939

Technical informations

Creation05/18/2018 3:01:00 PM
First validation05/18/2018 3:01:00 PM
Update time03/15/2023 8:13:17 AM
Status update03/15/2023 8:13:16 AM
Last indexation10/19/2023 8:18:38 AM
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