scholarly journals Corrigendum: Comparison of Newtonian and Non-newtonian Fluid Models in Blood Flow Simulation in Patients With Intracranial Arterial Stenosis

2021 ◽  
Vol 12 ◽  
Author(s):  
Haipeng Liu ◽  
Linfang Lan ◽  
Jill Abrigo ◽  
Hing Lung Ip ◽  
Yannie Soo ◽  
...  
Keyword(s):  
Blood Flow ◽  
Newtonian Fluid ◽  
Flow Simulation ◽  
Arterial Stenosis ◽  
Fluid Models ◽  
Intracranial Arterial Stenosis ◽  
Blood Flow Simulation

scholarly journals Comparison of Newtonian and Non-newtonian Fluid Models in Blood Flow Simulation in Patients With Intracranial Arterial Stenosis

2021 ◽  
Vol 12 ◽  
Author(s):  
Haipeng Liu ◽  
Linfang Lan ◽  
Jill Abrigo ◽  
Hing Lung Ip ◽  
Yannie Soo ◽  
...  
Keyword(s):  
Blood Flow ◽  
Newtonian Fluid ◽  
Fluid Model ◽  
Arterial Stenosis ◽  
Cfd Modeling ◽  
Patient Specific ◽  
Fluid Models ◽  
Cfd Models ◽  
Atherosclerotic Stenosis ◽  
Transient Simulations

BackgroundNewtonian fluid model has been commonly applied in simulating cerebral blood flow in intracranial atherosclerotic stenosis (ICAS) cases using computational fluid dynamics (CFD) modeling, while blood is a shear-thinning non-Newtonian fluid. We aimed to investigate the differences of cerebral hemodynamic metrics quantified in CFD models built with Newtonian and non-Newtonian fluid assumptions, in patients with ICAS.MethodsWe built a virtual artery model with an eccentric 75% stenosis and performed static CFD simulation. We also constructed CFD models in three patients with ICAS of different severities in the luminal stenosis. We performed static simulations on these models with Newtonian and two non-Newtonian (Casson and Carreau-Yasuda) fluid models. We also performed transient simulations on another patient-specific model. We measured translesional pressure ratio (PR) and wall shear stress (WSS) values in all CFD models, to reflect the changes in pressure and WSS across a stenotic lesion. In all the simulations, we compared the PR and WSS values in CFD models derived with Newtonian, Casson, and Carreau-Yasuda fluid assumptions.ResultsIn all the static and transient simulations, the Newtonian/non-Newtonian difference on PR value was negligible. As to WSS, in static models (virtual and patient-specific), the rheological difference was not obvious in areas with high WSS, but observable in low WSS areas. In the transient model, the rheological difference of WSS areas with low WSS was enhanced, especially during diastolic period.ConclusionNewtonian fluid model could be applicable for PR calculation, but caution needs to be taken when using the Newtonian assumption in simulating WSS especially in severe ICAS cases.

scholarly journals Performance of k-ω and k-ε Model for Blood Flow Simulation in Stenosed Artery

2021 ◽  
Vol 40 (2) ◽  
pp. 111-125
Author(s):  
Md Alamgir Kabir ◽  
Kausari Sultana ◽  
Md Ashraf Uddin
Keyword(s):  
Experimental Data ◽  
Blood Flow ◽  
Large Scale ◽  
Flow Behavior ◽  
Computational Cost ◽  
Flow Simulation ◽  
Turbulence Models ◽  
Arterial Stenosis ◽  
Blood Flow Simulation ◽  
Stenosed Artery

Blood flow through arterial stenosis can play a crucial role at the post stenotic flow regions. This produces a disturbance in the normal flow path. The intensity of the flow disturbance (i.e. laminar, transitional and turbulent flow characteristics) depends not only on the severity of the stenosis but also on the pattern of the geometrical model. In that case, the turbulence model plays vital role to measure these flow disturbances. However, it is very important to choose a proper flow simulation model that can predict the flow behavior of fluid accurately and efficiently with less computational cost and time. Thus, this study aims to analyze the results of two turbulence models i.e. k-ω and k-ε for blood flow simulation to compare their performance for the prediction of the flow behavior. Simulations have been performed with 75% area reductions in the arteries. The results of simulation show that, the flow parameters obtained from the k-ε model exhibits lack of fits with the experimental data. On the other hand, k-ω model can capture large scale gradient in the different parameters of blood flow and has a good agreement with the experimental data. This study suggests that, k-ω model has the better performance comparing to k-ε model to predict the behavior of blood flow in stenosed artery. GANIT J. Bangladesh Math. Soc. 40.2 (2020) 111-125

Virtual Training System with Physical Viscoelastic Model and Blood Flow Simulation Based on a Range-Based SPH Method

2015 ◽  
Vol 25 ◽  
pp. 41-53 ◽  
Author(s):  
Yi Dong Bao ◽  
Dong Mei Wu
Keyword(s):  
Blood Flow ◽  
Soft Tissue ◽  
Flow Simulation ◽  
Training System ◽  
Sph Method ◽  
Viscoelastic Creep ◽  
Blood Flow Simulation ◽  
Tissue Cutting ◽  
Creep Characteristics ◽  
Cutting Model

A physical mesh-less soft tissue cutting model with the viscoelastic creep characteristics has been proposed in this paper. The model is composed of filled spheres which are connected by Kelvin structure, so as to realize the cutting with viscoelastic creep characteristics. Then, it is further compared with the mass spring model in order to verify the effectiveness of the model. Secondly, a range-based Smoothed Particle Hydrodynamics (SPH) method with variable smoothing length is proposed, in order to simulate the blood flow simulation effect in the virtual surgery training system. Finally, the two are combined to be applied to the kidney soft tissue cutting experiment in surgery trainings. Experiments show there is a significant improvement on the cutting and simulation effect in terms of the viscoelasticity of the soft tissue cutting and the pressure and viscous force of blood flow.

Blood Flow Simulation and Applications

2012 ◽  
pp. 67-86 ◽  
Author(s):  
Luisa Costa Sousa ◽  
Catarina F. Castro ◽  
Carlos Conceição António
Keyword(s):  
Blood Flow ◽  
Flow Simulation ◽  
Blood Flow Simulation
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