On Assessing the Quality of Particle Tracking Through Computational Fluid Dynamic Models

[+] Author and Article Information
Mauro Tambasco, David A. Steinman

Imaging Research Labs, The John P. Robarts Research Institute, 100 Perth Dr., P.O. Box 5015, London, Ontario, Canada N6A5K8Department of Medical Biophysics, University of Western Ontario, Medical Sciences Building, London, Canada N6A 5C1

J Biomech Eng 124(2), 166-175 (Mar 29, 2002) (10 pages) doi:10.1115/1.1449489 History: Received September 21, 2000; Revised October 08, 2001; Online March 29, 2002
Copyright © 2002 by ASME
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Three uniform meshes and one adaptively refined mesh (Re=400) for the 30% concentrically stenosed carotid bifurcation model. The labels CCA, ICA, and ECA refer to the common, internal, and external carotid arteries, respectively.
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(a) A uniform “triangular” distribution of points in the inlet plane. δA=πR2/NT, where NT is the total number of points in the plane, is the effective area associated with each point. (b) Cross-sectional slice perpendicular to the inlet plane (parallel to inlet velocity) illustrating a contiguous LFE seeding distribution for a parabolic steady flow inlet velocity profile; (c) An alternative interpretation of the same cross-sectional slice as (a) with each LFE centroid point weighted according to the inlet velocity at its location.
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The effect of seeding distribution (triangular versus rectangular) and number of LFE’s seeded on VMCI(ε=0.01) in a Poiseuille flow model
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(a) 162k adaptively refined mesh for the inlet Re=0 flow case; (b) and (c) show cross-sectional slices of VRT computed for this case using a uniform volumetric seeding of 55790 weighted LFE’s, and illustrate regions that fall outside (a) VRT=1.00±0.05 and (b) VRT=1.00±0.25
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Inlet Re=0 flow in the concentric stenosis model (55790 weighted LFE’s seeded): Dependence of VMCI(ε=0.05) on the velocity field resolution (indicated by the different mesh resolutions used)
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Inlet Re=400 flow in the concentric stenosis model: Dependence of VMCI(ε=0.25) on the velocity field resolution (indicated by the different mesh resolutions used), and on the number of weighted LFE’s seeded
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VMCI as a function of the tolerance parameter ε for the 181k adaptive mesh model (computed by seeding 55473 weighted LFE’s)
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Cross-sectional slices illustrating VRT for the different mesh resolutions of the concentric stenosis model (computed by seeding 55473 weighted LFE’s)
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Percentage of volume not being sampled by LFE centroids for the different mesh resolutions of the concentric stenosis model
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Finite elements in the 147k uniform and 181k adaptive concentric stenosis models that were not sampled by LFE centroids. The top views are shown for the regions indicated along the Z-axis
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Surface maps of the deposition density index (DDI) illustrating LFE deposition patterns and intensities (computed by seeding 55473 weighted LFE’s)




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