Literature DB >> 10474655

Low Reynolds number turbulence modeling of blood flow in arterial stenoses.

F Ghalichi1, X Deng, A De Champlain, Y Douville, M King, R Guidoin.   

Abstract

Moderate and severe arterial stenoses can produce highly disturbed flow regions with transitional and or turbulent flow characteristics. Neither laminar flow modeling nor standard two-equation models such as the kappa-epsilon turbulence ones are suitable for this kind of blood flow. In order to analyze the transitional or turbulent flow distal to an arterial stenosis, authors of this study have used the Wilcox low-Re turbulence model. Flow simulations were carried out on stenoses with 50, 75 and 86% reductions in cross-sectional area over a range of physiologically relevant Reynolds numbers. The results obtained with this low-Re turbulence model were compared with experimental measurements and with the results obtained by the standard kappa-epsilon model in terms of velocity profile, vortex length, wall shear stress, wall static pressure, and turbulence intensity. The comparisons show that results predicted by the low-Re model are in good agreement with the experimental measurements. This model accurately predicts the critical Reynolds number at which blood flow becomes transitional or turbulent distal an arterial stenosis. Most interestingly, over the Re range of laminar flow, the vortex length calculated with the low-Re model also closely matches the vortex length predicted by laminar flow modeling. In conclusion, the study strongly suggests that the proposed model is suitable for blood flow studies in certain areas of the arterial tree where both laminar and transitional/turbulent flows coexist.

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Year:  1998        PMID: 10474655     DOI: 10.1016/s0006-355x(99)80011-0

Source DB:  PubMed          Journal:  Biorheology        ISSN: 0006-355X            Impact factor:   1.875


  19 in total

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Authors:  Xiao Liu; Yubo Fan; X Yun Xu; Xiaoyan Deng
Journal:  J R Soc Interface       Date:  2012-05-16       Impact factor: 4.118

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Authors:  C A Steeves; Y L Young; Z Liu; A Bapat; K Bhalerao; A B O Soboyejo; W O Soboyejo
Journal:  J Mater Sci Mater Med       Date:  2007-01       Impact factor: 3.896

4.  Validating Whole-Airway CFD Predictions of DPI Aerosol Deposition at Multiple Flow Rates.

Authors:  P Worth Longest; Geng Tian; Navvab Khajeh-Hosseini-Dalasm; Michael Hindle
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2016-04-15       Impact factor: 2.849

5.  Numerical analysis of the effect of turbulence transition on the hemodynamic parameters in human coronary arteries.

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Journal:  Cardiovasc Diagn Ther       Date:  2016-06

6.  Coupling of shear-circumferential stress pulses investigation through stress phase angle in FSI models of stenotic artery using experimental data.

Authors:  Milad Samaee; Mohammad Tafazzoli-Shadpour; Hamed Alavi
Journal:  Med Biol Eng Comput       Date:  2016-10-05       Impact factor: 2.602

7.  Validating CFD Predictions of Pharmaceutical Aerosol Deposition with In Vivo Data.

Authors:  Geng Tian; Michael Hindle; Sau Lee; P Worth Longest
Journal:  Pharm Res       Date:  2015-05-06       Impact factor: 4.200

8.  CFD simulations of enhanced condensational growth (ECG) applied to respiratory drug delivery with comparisons to in vitro data.

Authors:  P Worth Longest; Michael Hindle
Journal:  J Aerosol Sci       Date:  2010-08-01       Impact factor: 3.433

9.  Improving pharmaceutical aerosol delivery during noninvasive ventilation: effects of streamlined components.

Authors:  P Worth Longest; Laleh Golshahi; Michael Hindle
Journal:  Ann Biomed Eng       Date:  2013-02-20       Impact factor: 3.934

10.  Aerodynamic factors responsible for the deaggregation of carrier-free drug powders to form micrometer and submicrometer aerosols.

Authors:  P Worth Longest; Yoen-Ju Son; Landon Holbrook; Michael Hindle
Journal:  Pharm Res       Date:  2013-03-08       Impact factor: 4.200

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