Literature DB >> 29843730

The effect of inlet and outlet boundary conditions in image-based CFD modeling of aortic flow.

Sudharsan Madhavan1, Erica M Cherry Kemmerling2.   

Abstract

BACKGROUND: Computational modeling of cardiovascular flow is a growing and useful field, but such simulations usually require the researcher to guess the flow's inlet and outlet conditions since they are difficult and expensive to measure. It is critical to determine the amount of uncertainty introduced by these assumptions in order to evaluate the degree to which cardiovascular flow simulations are accurate. Our work begins to address this question by examining the sensitivity of flow to several different assumed velocity inlet and outlet conditions in a patient-specific aorta model.
METHODS: We examined the differences between plug flow, parabolic flow, linear shear flows, skewed cubic flow profiles, and Womersley flow at the inlet. Only the shape of the inlet velocity profile was varied-all other parameters were identical among these simulations. Secondary flow in the form of a counter-rotating pair of vortices was also added to parabolic axial flow to study its effect on the solution. In addition, we examined the differences between two-element Windkessel, three element Windkessel and the outflow boundary conditions. In these simulations, only the outlet boundary condition was varied.
RESULTS: The results show axial and in-plane velocities are considerably different close to the inlet for the cases with different inlet velocity profile shapes. However, the solutions are qualitatively similar beyond 1.75D, where D is the inlet diameter. This trend is also observed in other quantities such as pressure and wall shear stress. Normalized root-mean-square deviation, a measure of axial velocity magnitude differences between the different cases, generally decreases along the streamwise coordinate. The linear shear inlet velocity boundary condition and plug velocity boundary condition solution exhibit the highest time-averaged wall shear stress, approximately [Formula: see text] higher than the parabolic inlet velocity boundary condition. Upstream of 1D from the inlet, adding secondary flow has a significant impact on temporal wall shear stress distributions. This is especially observable during diastole, when integrated wall shear stress magnitude varies about [Formula: see text] between simulations with and without secondary flow. The results from the outlet boundary condition study show the Windkessel models differ from the outflow boundary condition by as much as [Formula: see text] in terms of time-averaged wall shear stress. Furthermore, normalized root-mean-square deviation of axial velocity magnitude, a measure of deviation between Windkessel and the outflow boundary condition, increases along the streamwise coordinate indicating larger variations near outlets.
CONCLUSION: It was found that the selection of inlet velocity conditions significantly affects only the flow region close to the inlet of the aorta. Beyond two diameters distal to the inlet, differences in flow solution are small. Although additional studies must be performed to verify this result, the data suggest that it is important to use patient-specific inlet conditions primarily if the researcher is concerned with the details of the flow very close to the inlet. Similarly, the selection of outlet conditions significantly affects the flow in the vicinity of the outlets. Upstream of five diameters proximal to the outlet, deviations between the outlet boundary conditions examined are insignificant. Although the inlet and outlet conditions only affect the flow significantly in their respective neighborhoods, our study indicates that outlet conditions influence a larger percentage of the solution domain.

Entities:  

Keywords:  Inlet boundary conditions; Outlet boundary conditions; Windkessel; Womersley

Mesh:

Year:  2018        PMID: 29843730      PMCID: PMC5975715          DOI: 10.1186/s12938-018-0497-1

Source DB:  PubMed          Journal:  Biomed Eng Online        ISSN: 1475-925X            Impact factor:   2.819


  59 in total

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2.  Unsteady and three-dimensional simulation of blood flow in the human aortic arch.

Authors:  N Shahcheraghi; H A Dwyer; A Y Cheer; A I Barakat; T Rutaganira
Journal:  J Biomech Eng       Date:  2002-08       Impact factor: 2.097

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5.  Computational analysis of flow in a curved tube model of the coronary arteries: effects of time-varying curvature.

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7.  Doppler analysis of flow velocity profile at the aortic root.

Authors:  M Mathison; A Furuse; K Asano
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8.  On the relative importance of rheology for image-based CFD models of the carotid bifurcation.

Authors:  Sang-Wook Lee; David A Steinman
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Authors: 
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10.  On the impact of modelling assumptions in multi-scale, subject-specific models of aortic haemodynamics.

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Journal:  J R Soc Interface       Date:  2016-06       Impact factor: 4.118

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  11 in total

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Journal:  Front Cardiovasc Med       Date:  2022-06-13

3.  Assessment of turbulent blood flow and wall shear stress in aortic coarctation using image-based simulations.

Authors:  Romana Perinajová; Joe F Juffermans; Jonhatan Lorenzo Mercado; Jean-Paul Aben; Leon Ledoux; Jos J M Westenberg; Hildo J Lamb; Saša Kenjereš
Journal:  Biomed Eng Online       Date:  2021-08-21       Impact factor: 2.819

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5.  Physics-Informed Neural Networks for Brain Hemodynamic Predictions Using Medical Imaging.

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6.  Experimental and Mouse-Specific Computational Models of the Fbln4SMKO Mouse to Identify Potential Biomarkers for Ascending Thoracic Aortic Aneurysm.

Authors:  Marisa S Bazzi; Ramin Balouchzadeh; Shawn N Pavey; James D Quirk; Hiromi Yanagisawa; Vijay Vedula; Jessica E Wagenseil; Victor H Barocas
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7.  The comparative effects of high fat diet or disturbed blood flow on glycocalyx integrity and vascular inflammation.

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Journal:  Transl Med Commun       Date:  2018-11-22

Review 8.  Computational Analysis of the Pulmonary Arteries in Congenital Heart Disease: A Review of the Methods and Results.

Authors:  M Conijn; G J Krings
Journal:  Comput Math Methods Med       Date:  2021-04-01       Impact factor: 2.238

9.  WSSNet: Aortic Wall Shear Stress Estimation Using Deep Learning on 4D Flow MRI.

Authors:  Edward Ferdian; David J Dubowitz; Charlene A Mauger; Alan Wang; Alistair A Young
Journal:  Front Cardiovasc Med       Date:  2022-01-24

10.  Hemodynamic Abnormalities in the Aorta of Turner Syndrome Girls.

Authors:  Lauren Johnston; Ruth Allen; Pauline Hall Barrientos; Avril Mason; Asimina Kazakidi
Journal:  Front Cardiovasc Med       Date:  2021-06-01
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