Literature DB >> 27146288

Numerical analysis of blood flow through an elliptic stenosis using large eddy simulation.

E Jabir1, S Anil Lal2.   

Abstract

The presence of a stenosis caused by the abnormal narrowing of the lumen in the artery tree can cause significant variations in flow parameters of blood. The original flow, which is believed to be laminar in most situations, may turn out to turbulent by the geometric perturbation created by the stenosis. Flow may evolve to fully turbulent or it may relaminarise back according to the intensity of the perturbation. This article reports the numerical simulation of flow through an eccentrically located asymmetric stenosis having elliptical cross section using computational fluid dynamics. Large eddy simulation technique using dynamic Smagorinsky sub-grid scale model is applied to capture the turbulent features of flow. Analysis is carried out for two situations: steady inflow as ideal condition and pulsatile inflow corresponding to the actual physiological condition in common carotid artery. The spatially varying pulsatile inflow waveforms are mathematically derived from instantaneous mass flow measurements available in the literature. Carreau viscosity model is used to estimate the effect of non-Newtonian nature of blood. The present simulations for steady and pulsatile conditions show that post-stenotic flow field undergoes transition to turbulence in all cases. The characteristics of mean and turbulent flow fields have been presented and discussed in detail. © IMechE 2016.

Keywords:  Elliptic stenosis; computational fluid dynamics; large eddy simulation; turbulent blood flow

Mesh:

Year:  2016        PMID: 27146288     DOI: 10.1177/0954411916644474

Source DB:  PubMed          Journal:  Proc Inst Mech Eng H        ISSN: 0954-4119            Impact factor:   1.617


  3 in total

1.  Fundamentals of turbulent flow spectrum imaging.

Authors:  Hannes Dillinger; Charles McGrath; Christian Guenthner; Sebastian Kozerke
Journal:  Magn Reson Med       Date:  2021-11-16       Impact factor: 3.737

2.  Spectral Decomposition of the Flow and Characterization of the Sound Signals through Stenoses with Different Levels of Severity.

Authors:  Fardin Khalili; Peshala T Gamage; Amirtahà Taebi; Mark E Johnson; Randal B Roberts; John Mitchell
Journal:  Bioengineering (Basel)       Date:  2021-03-19

3.  Spectral Decomposition and Sound Source Localization of Highly Disturbed Flow through a Severe Arterial Stenosis.

Authors:  Fardin Khalili; Peshala T Gamage; Amirtahà Taebi; Mark E Johnson; Randal B Roberts; John Mitchel
Journal:  Bioengineering (Basel)       Date:  2021-03-04
  3 in total

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