Literature DB >> 24801556

Large eddy simulation of transitional flow in an idealized stenotic blood vessel: evaluation of subgrid scale models.

Abhro Pal, Kameswararao Anupindi, Yann Delorme, Niranjan Ghaisas, Dinesh A Shetty, Steven H Frankel.   

Abstract

In the present study, we performed large eddy simulation (LES) of axisymmetric, and 75% stenosed, eccentric arterial models with steady inflow conditions at a Reynolds number of 1000. The results obtained are compared with the direct numerical simulation (DNS) data (Varghese et al., 2007, "Direct Numerical Simulation of Stenotic Flows. Part 1. Steady Flow," J. Fluid Mech., 582, pp. 253-280). An inhouse code (WenoHemo) employing high-order numerical methods for spatial and temporal terms, along with a 2nd order accurate ghost point immersed boundary method (IBM) (Mark, and Vanwachem, 2008, "Derivation and Validation of a Novel Implicit Second-Order Accurate Immersed Boundary Method," J. Comput. Phys., 227(13), pp. 6660-6680) for enforcing boundary conditions on curved geometries is used for simulations. Three subgrid scale (SGS) models, namely, the classical Smagorinsky model (Smagorinsky, 1963, "General Circulation Experiments With the Primitive Equations," Mon. Weather Rev., 91(10), pp. 99-164), recently developed Vreman model (Vreman, 2004, "An Eddy-Viscosity Subgrid-Scale Model for Turbulent Shear Flow: Algebraic Theory and Applications," Phys. Fluids, 16(10), pp. 3670-3681), and the Sigma model (Nicoud et al., 2011, "Using Singular Values to Build a Subgrid-Scale Model for Large Eddy Simulations," Phys. Fluids, 23(8), 085106) are evaluated in the present study. Evaluation of SGS models suggests that the classical constant coefficient Smagorinsky model gives best agreement with the DNS data, whereas the Vreman and Sigma models predict an early transition to turbulence in the poststenotic region. Supplementary simulations are performed using Open source field operation and manipulation (OpenFOAM) ("OpenFOAM," http://www.openfoam.org/) solver and the results are inline with those obtained with WenoHemo.

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Year:  2014        PMID: 24801556      PMCID: PMC5101037          DOI: 10.1115/1.4027610

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  11 in total

1.  Influence of stenosis morphology on flow through severely stenotic vessels: implications for plaque rupture.

Authors:  J S Stroud; S A Berger; D Saloner
Journal:  J Biomech       Date:  2000-04       Impact factor: 2.712

2.  Application of large-eddy simulation to the study of pulsatile flow in a modeled arterial stenosis.

Authors:  R Mittal; S P Simmons; H S Udaykumar
Journal:  J Biomech Eng       Date:  2001-08       Impact factor: 2.097

3.  Modeling transition to turbulence in eccentric stenotic flows.

Authors:  Sonu S Varghese; Steven H Frankel; Paul F Fischer
Journal:  J Biomech Eng       Date:  2008-02       Impact factor: 2.097

4.  Large Eddy Simulation of FDA's Idealized Medical Device.

Authors:  Yann T Delorme; Kameswararao Anupindi; Steven H Frankel
Journal:  Cardiovasc Eng Technol       Date:  2013-12-01       Impact factor: 2.495

5.  Large-Eddy simulation of pulsatile blood flow.

Authors:  Manosh C Paul; Md Mamun Molla; Giles Roditi
Journal:  Med Eng Phys       Date:  2008-06-17       Impact factor: 2.242

6.  Comparison of LES of steady transitional flow in an idealized stenosed axisymmetric artery model with a RANS transitional model.

Authors:  F P P Tan; N B Wood; G Tabor; X Y Xu
Journal:  J Biomech Eng       Date:  2011-05       Impact factor: 2.097

7.  Velocity measurements in steady flow through axisymmetric stenoses at moderate Reynolds numbers.

Authors:  S A Ahmed; D P Giddens
Journal:  J Biomech       Date:  1983       Impact factor: 2.712

8.  Flow disturbance measurements through a constricted tube at moderate Reynolds numbers.

Authors:  S A Ahmed; D P Giddens
Journal:  J Biomech       Date:  1983       Impact factor: 2.712

9.  Pulsatile poststenotic flow studies with laser Doppler anemometry.

Authors:  S A Ahmed; D P Giddens
Journal:  J Biomech       Date:  1984       Impact factor: 2.712

Review 10.  The role of fluid mechanics in the localization and detection of atherosclerosis.

Authors:  D P Giddens; C K Zarins; S Glagov
Journal:  J Biomech Eng       Date:  1993-11       Impact factor: 2.097

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  1 in total

1.  Dynamics of Blood Flows in Aortic Stenosis: Mild, Moderate, and Severe.

Authors:  Choon-Sik Jhun; Raymond Newswanger; Joshua P Cysyk; Sailahari Ponnaluri; Bryan Good; Keefe B Manning; Gerson Rosenberg
Journal:  ASAIO J       Date:  2021-06-01       Impact factor: 3.826

  1 in total

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