Fluid–structure interaction modeling in cardiovascular medicine – A systematic review 2017–2019

Hirschhorn, Matthew; Tchantchaleishvili, Vakhtang; Stevens, Randy; Rossano, Joseph W.; Throckmorton, Amy L.

doi:10.1016/j.medengphy.2020.01.008

Cited by 75 publications

(40 citation statements)

References 125 publications

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“…In this study, blood flow properties in form of density and dynamic viscosity are considered to be 1050 kg/m 3 and 0.004 N-sec/m 2 respectively [15]. The arterial wall is assumed to behave linearly-elastic having elastic modulus is 0.9 MPa and Poisson's ratio of 0.40 with density of 1120 kg/m 3 [20,25]. The convergence criteria of fluid flow and across the fluid-surface interface is set at 10 À4 and 10 À3 respectively and low Reynolds k-ω model is used to model the turbulence behavior [22].…”

Section: Discussionmentioning

confidence: 99%

“…However, the effect of variation in blood pressure on atherosclerosis has been limited and few studies have attempted to predict that hypertension increases the WSS and arterial deformation initiated by extreme stressstrain conditions [20][21][22]. The effects of increase blood pressure or hypertension with more focus on stenosis related to patient specific cases is one of the potential area for numerical investigation.…”

Section: Introductionmentioning

confidence: 99%

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Fluid Structure Interaction Study of Stenosed Carotid Artery Considering the Effects of Blood Pressure and Altered Gravity

Khader¹,

Kumar²,

Pai³

2021

Finite Element Methods and Their Applications

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Atherosclerosis is a very common cardiovascular disease (CVD) causing increased morbidity. Atherosclerosis is a disease that involves several factors and usually affects the wall of the arterial bifurcations. Advanced Computational Fluid Dynamics (CFD) techniques has the potential to shed more light in understanding of the causes of atherosclerosis and perhaps in its early diagnosis. Fluid Structure Interaction (FSI) study was carried out on two different three dimensional patient specific cases (a) Normal carotid bifurcation and (b) Stenosed carotid bifurcation. Physiological conditions were considered to evaluate hemodynamic parameters and understand the origin and progression of atherosclerosis in the carotid artery bifurcation, first for the normal and then with hypertension disease. Commercial software ANSYS and ANSYS CFX (version 19.0) was used to perform a two-way FSI using a fully implicit second-order backward Euler differencing scheme. Arterial response was calculated by employing an Arbitrary Lagrangian-Eulerian (ALE) formulation and using the temporal blood response. The carotid artery bifurcation caused a velocity reduction and backflow was observed causing a reduction in the shear stress. A low shear stress resulted due to an oscillatory behavior at the start point of the internal carotid artery near the carotid sinus. Shear stresses are obtained by using anatomically realistic 3D geometry and representative physiological conditions. Results of this study agree with those in the literature showing that the regions with low wall shear stress. Geometry and flow conditions greatly affected the hemodynamics of the carotid artery. Furthermore, regions of relatively low wall shear stress were observed post stenosis, which is a known cause of plaque development and progression. Under altered gravity conditions the same artery was studied to determine the flow conditions and predict the progression of plague.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fluid Structure Interaction Study of Stenosed Carotid Artery Considering the Effects of Blood Pressure and Altered Gravity

Khader¹,

Kumar²,

Pai³

2021

Finite Element Methods and Their Applications

View full text Add to dashboard Cite

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“…For the interested reader, reviews on fluid structural interaction applications in modeling cardiovascular disease are included. [25][26][27]…”

Section: Geometry Reconstructionmentioning

confidence: 99%

Computational fluid dynamics: a primer for congenital heart disease clinicians

Gerrah

Haller

2020

Asian Cardiovasc Thorac Ann

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Computational fluid dynamics has become an important tool for studying blood flow dynamics. As an in-silico collection of methods, computational fluid dynamics is noninvasive and provides numerical values for the most important parameters of blood flow, such as velocity and pressure that are crucial in hemodynamic studies. In this primer, we briefly explain the basic theory and workflow of the two most commonly applied computational fluid dynamics techniques used in the congenital heart disease literature: the finite element method and the finite volume method. We define important terminology and include specific examples of how using these methods can answer important clinical questions in congenital cardiac surgery planning and perioperative patient management.

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“…Fluid–structure interaction (FSI) has been used for simulating the hemodynamics in the human aorta 21‐24 . It is found that diameter expansion in the proximal aorta induced by the wall elasticity could reach 10%–15%, which would lead to much‐reduced wall shear stress (WSS) compared with the rigid wall simulation with the same geometry 21 .…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis of the hemodynamics of rat aorta based on magnetic resonance imaging and fluid–structure interaction

Han

Lian

Luo

et al. 2021

Numer Methods Biomed Eng

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Murine models have been widely used to investigate the mechanobiology of aortic atherosclerosis and dissections, which develop preferably at different anatomic locations of aorta. Based MRI and finite element analysis with fluid–structure interaction, we numerically investigated factors that may affect the blood flow and structural mechanics of rat aorta. The results indicated that aortic root motion greatly increases time‐averaged wall shear stress (TAWSS), oscillatory shear index (OSI), relative residence time (RRT), displacement of the aorta, and enhances helical flow pattern but has limited influence on effective stress, which is highly modulated by blood pressure. Moreover, the influence of the motion component on these indicators is different with axial motion more obvious than planar motion. Surrounding fixation of the intercostal arteries and the branch vessels on aortic arch would reduce the influence of aortic root motion. The compliance of the aorta has different influences at different regions, leading to decrease in TAWSS and helical flow, increase in OSI, RRT at the aortic arch, but has reversed effects on the branch vessels. When compared with the steady flow, the pulsatile blood flow would obviously increase the WSS, the displacement, and the effective stress in most regions. In conclusion, to accurately quantify the blood flow and structural mechanics of rat aorta, the motion of the aortic root, the compliance of aortic wall, and the pulsation of blood flow should be considered. However, when only focusing on the effective stress in rat aorta, the motion of the aortic root may be neglected.

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Fluid–structure interaction modeling in cardiovascular medicine – A systematic review 2017–2019

Cited by 75 publications

References 125 publications

Fluid Structure Interaction Study of Stenosed Carotid Artery Considering the Effects of Blood Pressure and Altered Gravity

Fluid Structure Interaction Study of Stenosed Carotid Artery Considering the Effects of Blood Pressure and Altered Gravity

Computational fluid dynamics: a primer for congenital heart disease clinicians

Numerical analysis of the hemodynamics of rat aorta based on magnetic resonance imaging and fluid–structure interaction

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