Effects of different non-Newtonian models on unsteady blood flow hemodynamics in patient-specific arterial models with in-vivo validation

Abbasian, Majid; Shams, Mehrzad; Valizadeh, Ziba; Moshfegh, Abouzar; Javadzadegan, Ashkan; Cheng, Shaokoon

doi:10.1016/j.cmpb.2019.105185

Cited by 86 publications

(51 citation statements)

References 30 publications

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“…The dynamic viscosity of blood is assumed to be 0.0035 Pa. s and density as 1060 kg/m 3 [31]. The non-Newtonian property was found to always be accounted for only if the lumen diameter is less than 0.1 mm or if the shear rate is less than 100 s −1 [32].…”

Section: Materials Propertiesmentioning

confidence: 99%

Effect of linear and Mooney–Rivlin material model on carotid artery hemodynamics

Kumar

Pai

Manjunath

et al. 2021

J Braz. Soc. Mech. Sci. Eng.

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Atherosclerosis is one of the most common cardiovascular diseases leading to high morbidity. The study of arterial dynamics using fluid–structure interaction (FSI) technique by taking into account the physiology of flow, the critical hemodynamic parameters can be determined which plays a crucial role in predictive medicine. Due to advances in the computational facilities, coupled field analysis such as FSI can facilitate understanding of the mechanics of stenosis progression and its early diagnosis. In this study a two-way FSI analysis is carried out using modified Navier–Stokes equations as the governing equations of blood flow for determining hemodynamic parameters. The arterial wall has been described at different linear elastic modulus and compared with hyperelastic Mooney–Rivlin model to evaluate the effect of different arterial stiffness on hemodynamics. The Mooney–Rivlin model predicts flow reduction with the severe backflow at arterial bifurcation resulting in decreased shear stress and oscillatory behavior. Furthermore, these findings may be used in understanding the advantages and disadvantages of using hyperelastic artery model in numerical simulations to better understand and predict the variable that causes cardiovascular diseases and as a diagnostic tool. In the present study, variation due to change in arterial wall properties such as linear elastic and Mooney Rivlin hyperelastic and its influence on hemodynamics are investigated.

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Section: Materials Propertiesmentioning

confidence: 99%

Effect of linear and Mooney–Rivlin material model on carotid artery hemodynamics

Kumar

Pai

Manjunath

et al. 2021

J Braz. Soc. Mech. Sci. Eng.

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“…The presence of a viscosity plateau both at really low or really high strain rate can be easily captured with such a model. Additionally, one of the most promising fields in which the potential of the CY model can be exploited is the simulation of blood flow [52,57,58]. Thus, the main features of the chosen model are the possibility to capture viscosity plateau and the capability to accurately describe the shear thinning behaviour, characteristic of the considered polymers.…”

Section: Numerical Modelmentioning

confidence: 99%

A lattice-Boltzmann free surface model for injection moulding of a non-Newtonian fluid

Chiappini

2020

Phil. Trans. R. Soc. A.

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The aim of this work is to present a lattice Boltzmann (LB) model devoted to dealing with non-Newtonian free surface flow. The combination of LB solver with a free-surface model allows dealing with multiphase flows where the density ratio in between the two considered phases is so high that the lighter phase can be neglected. For this particular set of multiphase models, the interface between the two phases is numerically reconstructed and transported via a diffusion equation. Moreover, the application of a Carreau approach for viscosity modelling allows the introduction of effects related to shear stress on fluid flow evolution. Two different non-Newtonian silicon-like materials have been considered here, namely the polystyrene and acrylonitrile butadiene styrene. Here, the author, after the mandatory model validation with a reference configuration, presents some applications of injection moulding for two different test-cases: the former is the injection in a labyrinth-like gasket, whereas the latter is the injection in a porous media. This article is part of the theme issue ‘Fluid dynamics, soft matter and complex systems: recent results and new methods’.

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“…Therefore, the quantitative analysis of intraplaque neovasculature and hemorrhage is unavailable by using clinical imaging data. Fluid dynamic theoretical and computational models have been successfully developed and validated for hemodynamics simulation on carotid artery based on patient-specific imaging data [9][10][11]. In parallel, the simulations on blood flow and mass transport through microvascular networks have broadened our understanding of the complex mechanisms involved in the microcirculation [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling of intraplaque neovascularization and hemorrhage in a carotid atherosclerotic plaque

Cai

Pan

2021

BioMed Eng OnLine

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Background Growing experimental evidence has identified neovascularization from the adventitial vasa vasorum and induced intraplaque hemorrhage (IPH) as critical indicators during the development of vulnerable atherosclerotic plaques. In this study, we propose a mathematical model incorporating intraplaque angiogenesis and hemodynamic calculation of the microcirculation, to obtain the quantitative evaluation of the influences of intraplaque neovascularization and hemorrhage on vulnerable plaque development. A two-dimensional nine-point model of angiogenic microvasculature is generated based on the histology of a patient’s carotid plaque. The intraplaque angiogenesis model includes three key cells (endothelial cells, smooth muscle cells, and macrophages) and three key chemical factors (vascular endothelial growth factors, extracellular matrix, and matrix metalloproteinase), which densities and concentrations are described by a series of reaction–diffusion equations. The hemodynamic calculation by coupling the intravascular blood flow, the extravascular plasma flow, and the transvascular transport is carried out on the generated angiogenic microvessel network. We then define the IPH area by using the plasma concentration in the interstitial tissue, as well as the extravascular transport across the capillary wall. Results The simulational results reproduce a series of pathophysiological phenomena during the atherosclerotic plaque progression. It is found that the high microvessel density region at the shoulder areas and the extravascular flow across the leaky wall of the neovasculature contribute to the IPH observed widely in vulnerable plaques. The simulational results are validated by both the in vivo MR imaging data and in vitro experimental observations and show significant consistency in quantity ground. Moreover, the sensitivity analysis of model parameters reveals that the IPH area and extent can be reduced significantly by decreasing the MVD and the wall permeability of the neovasculature. Conclusions The current quantitative model could help us to better understand the roles of microvascular and intraplaque hemorrhage during the carotid plaque progression.

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Effects of different non-Newtonian models on unsteady blood flow hemodynamics in patient-specific arterial models with in-vivo validation

Cited by 86 publications

References 30 publications

Effect of linear and Mooney–Rivlin material model on carotid artery hemodynamics

Effect of linear and Mooney–Rivlin material model on carotid artery hemodynamics

A lattice-Boltzmann free surface model for injection moulding of a non-Newtonian fluid

Mathematical modeling of intraplaque neovascularization and hemorrhage in a carotid atherosclerotic plaque

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