# Numerical simulation of blood flow and fluid-structure interaction (FSI) in arteries and ventricles

## Top PDF Numerical simulation of blood flow and fluid-structure interaction (FSI) in arteries and ventricles:

### A reduced basis model with parametric coupling for fluid-structure interation problems

1. Introduction. The numerical simulation of Fluid-Structure Interaction (FSI) problems is an important topic in wide areas of engineering and medical research. Concerning the latter, of great importance is the modelling of blood flow in the large arteries of the human cardiovascular system, where pulsatile flows combined with a high degree of deformability of the arterial walls together cause large displacement effects that cannot be neglected when attempting to accurately model the flow dy- namics of the system. High fidelity computational fluid dynamics and structural mechanics solvers based on, for example, the Finite Element Method (FEM) need to be combined in a framework that is challenging both from a mathematical as well as implementation viewpoint. For an overview of cardiovascular modelling techniques we refer to [42, 44] and the book [14]. The complexity and nonlinearity of FSI problems has until recently limited the scope of physically meaningful simulations to just small and isolated sections of arteries. When attempting to consider the entire cardiovas- cular system as a complex network of different time and spatial scales, Model Order Reduction (MOR) techniques can accurately and reliably reduce the nonlinear FSI models to computationally more cost-efficient ones.
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### Numerical modelling and simulation for one-dimensional fluid structure interaction in blood flow

The scope of this study is on the numerical modelling and simulation in one- dimensional FSI blood flow cases. One-dimensional, incompressible, Newtonian flow is considered in this study. Continuity equation, momentum equation and pressure-area constitutive relation are coupled and solved numerically with the employment of compatibility conditions at the boundary nodes. Besides, finite element method with SUPG stabilization formulation is employed as space discretization and first-order forward difference is employed as time discretization. For straight vessel, two types of pressure-area constitutive relations are coupled together with continuity equation and momentum equation, that are, nonlinear elastic model and collapsible model, which are termed as Model 1 and Model 2 respectively. Pressure differences for p-A Model 1 range from 400 Pa to 2500 Pa while pressure differences for p-A Model 2 range from 10 mmHg to 45 mmHg.
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### Fluid–structure interaction simulation of an avian flight model

flapping wings, helping us to understand the three-dimensional and time-dependent formation mechanism. The wakes consist of interlocked elliptical vortex rings on each wing. For high reduced frequencies, an upstroke and a downstroke vortex structure were produced which contain starting, stopping, root and tip vortices. It was shown that, for decreasing reduced frequency, the upstroke vortex structure diffuses and the tip and root vortices of the downstroke dominate the wake. The vortex configurations occurring are not consistent with those of two idealized wake configurations postulated for birds (Rayner, 1979a; Rayner, 1979b) and differ from those recorded for birds (Spedding et al., 2003; Rosén et al., 2004; Hedenström, 2006). The analysed vortex structures are related to the wake of birds with an inflexible wing motion and may occur during acceleration in the forward direction at medium and fast flight speeds. Furthermore, the results show similarities to those of bats (Muijres et al., 2008; Hedenström et al., 2009) and an insect model (Van den Berg and Ellington, 1997a; Van den Berg and Ellington, 1997b). Although the model does not represent real bird geometry and wingbeat kinematics, flow characteristics that may appear in the aerodynamic performance of birds are described. The non- appearance of the root vortex during bird flight has been discussed, but the question has not yet been answered. Further numerical and experimental studies will be necessary using avian models without a gap and with real bird geometry and structural wing behaviour. In this case, numerical representation of a real bird wing for FSI simulations will be desirable to predict the contribution of the FSI to lift and drag production.
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### Endotension Distribution in Fluid Structure Interaction Analysis of Abdominal Aortic Aneurysm Following Endovascular Repair

FSIs are increasingly being implemented in the study of vascular diseases and AAAs [7]-[11]. Thubrikar et al. [12] investigated wall stress distributions in three-dimensional models of human abdominal aortic aneurysms based on CT-scans. Chong and How [13] measured the flow patterns in an endovascular stent-graft for abdo- minal aortic aneurysm repair. They observed that low velocity regions in the main trunk as well as flow separa- tion in the stump region and the curved segment of the iliac limbs were associated with thrombosis in the clini- cal situation. Volodos et al. [14] investigated forces exerted on the rigid, bifurcated EVG. They found that the iliac bifurcation angle, EVG size and blood pressure impact the migration forces significantly. In summary, most of the research focused on AAA-wall stress or EVG-lumen flow separately, i.e. without consideration of the coupled fluid-structure interactions between the lumen blood, EVG wall, sac stagnant blood, and AAA wall. FSI occurs whenever the problem involves the flow of fluid causing the deformation of a solid structure. This deformation, in turn, changes the boundary conditions of the fluid field. Because blood flow and AAA/EVG are coupled in a complicated way, the pulsatile flow will affect the movement of the AAA/EVG walls and wall mo- tion in turn influences the flow fields, i.e. the lumen and sac blood. The dynamic interaction between the flow and wall may influence the predicted wall stress. Di Martino et al. was the first to consider the dynamics of AAA and installed graft separately and report patient specific wall stress results of coupled fluid-solid interac- tion (FSI) simulation and suggested that FSI is a useful tool to investigate the physical sight of the blood flow and aneurysm wall rupture [15].
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### Numerical modelling of hydrofoil fluid structure interaction

Ducoin et al. [27, 32] conducted both a numerical and experimental investigation into the effect of flexibility on a stationary foil in uniform flow. They compared coupled and uncoupled simulations to assess the effect of FSI with ANSYS CFD and Complete Structural Design. Uncoupled simulations were computed after the CFD simulations were solved with the foil assumed rigid and then the resulting forces were used to compute the structural deflections. Results from experimental visualisation of the foil displacement compared well to the coupled numerical simu- lations. The maximum vertical displacement in the coupled simulation was 10.7% higher in the coupled case while the change in lift was 10.6% higher. The change in lift was correlated to the change in pressure distribution at the foil tip due to the deflection. This corresponded to a large variation in the minimum pressure at the leading edge of the tip suction side. Ducoin et al. [31] used a RANSE k − ω SST model coupled with a transition model. They found that the structural response is strongly linked to hydrodynamic phenomena such as boundary layer transition and leading edge vortex shedding. An investigation of the effect of pitch veloc- ity revealed that the increased speed influenced the boundary layer transition and hydrofoil loading which resulted in a higher incidence angle before stall [29, 31]. Hysteresis was evident after stall on the downstroke. Fluctuating displacements have been observed when leading edge vortex shedding occurs during stall, for both numerical and experimental approaches.
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### Numerical Simulation of Fluid Structure Interaction between Flow and Steel Pipe Pile Platform in Deep Water

In deep water engineering, current force is one of the dominate load. However, the ef- fect of structure on current force is mainly reflected in the projected area of the vertical direction of flow, shape of piles, pile spacing and so on, but the effect of structure dis- placement and deformation on the flow is ignored. Although this calculation method is easy to use in engineering, it’s not suitable for deep waters engineering. As the structure has a great influence on the flow of water in deep water because of the large deforma- tion of the structure. It is significant to study the flow force of the structure in deep wa- ter, from the viewpoint of fluid structure interaction.
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### Numerical Modelling of Trawl Net Considering Fluid-Structure Interaction Based on Hybrid Volume Method

hydrodynamic force of the mesh. However, the influence of current on trawl net was usually ignored in the above researches for simplicity. It is necessary to analyze the interaction between trawl net and underwater currents. There are several approaches are adopted to investigate the interaction the net and current including the velocity reduction method and the porous media method. Comparatively speaking, the velocity attenuation method (Løland, 1993; Berstad et al., 2005; Zhan et al., 2006) is too simple to calculate the flow field. Porous media method has been more and more widely used with the improvement of computer ability. Helsley et al. used porous media method to analyze the flow field downstream of the cage and the distribution of nutrients (Helsley et al., 2005). Patursson et al. used the porous medium method to analyze the distribution of the flow field around the mesh at different angles of attack (Patursson et al., 2006), and gave the method to determine the drag coefficient in the porous medium model (Patursson et al., 2010). Zhao et al. used porous media method to study mesh and cage, and pointed out that the thickness of porous media model has little effect on the simulation results (Zhao et al., 2011, 2013a, 2013b, 2015; Bi et al., 2014a, 2014b). However, the porous media method has its own shortcomings, such as the mesh needs to be re-meshed under large deformation. In order to resolve the current net-fluid interaction problems above, Yao et al. (2016b) proposed a novel hybrid volume method to analyze the interaction between the net mesh and the surrounding flow field, which was used to calculate the interaction between the fluid and net cage under large deformation condition.
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### Flow Of Jeffrey Fluid Through An Artery With Multiple Stenosis

Two dimensional blood flow through tapered arteries under stenotic conditions was analysed by Chakravarty and Mandal ( 2000 ). Long et al. (2001) investigated pulsatile flow through arterial stenosis numerically. Numerical simulation of pulsatile blood flow in straight tube stenosis model was performed to investigate the post stenotic flow phenomena. Flow features such as velocity profiles, flow separation zone and wall shear stress distribution in the post stenotic region are described. Results shows that the formation and development of flow separation zone in the post stenotic region are very complex. Flow n a catheterised curved artery with stenos was studied by Dash et al. (1999). Here the investigation is done through mathematical analysis. Blood is modelled as an incompressible Newtonian fluid and the flow is assumed to be steady and laminar. The effect of Catheterization on various physiologically important flow characteristics is studied for different values of catheter size and Reynolds number of the flow.
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### Computational Simulation of the Urinary System

Recent advances in CFD and the availability of supercomputers make a realistic computational model of a ureter and peristaltic flow possible and it can provide a tool to develop and explore further research. Extensive literature [2, 3, 4] has been devoted to finding mechanical properties of the ureter in both animals and humans and the majority of the studies indicated a viscoelastic behaviour for the ureter. The first attempts to create a model were based on the theoretical analysis and numerical solutions for viscosity dominated flow through a uniform tube with peristaltic motion [6]. In their study the hydrodynamics of flow through a distensible tube of a finite length with a peristaltic motion is discussed. Later, different rates of the frequency of peristaltic motion have been applied to the same model. The dynamics of the upper urinary tract have been investigated extensively and the pressure/flow relation in different conditions has been studied. [5, 6, 7, 8, 9, 10]. However, the fluid structure interaction has been not stated in any of the study mentioned above.
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### Mathematical Analysis of Carreau Fluid model for Blood Flow in Tapered Constricted Arteries

Johnston et al. [15] used several non-Newtonian fluid models including Carreau fluid model in their investigate on the wall shear stress distribution in blood flow through stenostic arteries and pointed out that Carreau fluid model is the best among all the other fluid models, since it showed very good agreement with their experimental data. Chang et al [16] numerically analyzed the fluid-solid structure interaction between blood and arterial wall and found that the wall shear stress is highest at the throat of the stenosis. Akbar [17] studied the effects of heat and mass transfer in blood flow through a tapered stenotic artery, modeling blood as Carreau fluid model. Akbar and Nadeem [18] investigated the steady flow of blood in a tapered artery with mild stenosis, treating blood as Carreau fluid model and used perturbation method to obtain the asymptotic solutions.Sankar [19] mathematically analyzed the pulsatile flow of blood in a tapered artery with overlapping stenosis, treating blood as Carreau fluid model.
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### Stress analysis in a layered aortic arch model under pulsatile blood flow

The aortic arch model used here only partially simulated the real situation because it neglected the effect of the branches of the arch [3,4] and the aortic arch's non- planarity [35]. Because this was an initial attempt; the model was purposely kept simple in order to give an insight into the stress distribution on the aortic arch with interaction between a pulsatile flow and the wall. Further- more, more than 80% of tears and dissections are at the aorta, not at branches of the arch [26,36]. In the future investigations, the branches will be added to the model. The mechanical properties of arteries have been reported extensively in the literature. The type of nonlinearity is a consequence of the curvature of the strain-stress function, which shows that an artery becomes stiffer as the distend- ing pressure increases. Horsten et al. [37] showed that elasticity dominates the nonlinear mechanical properties of arterial tissues. In numerical simulation of the biome- chanics in arteries [6-8,10], the wall was assumed to be an elastic constitutive model. Of course, a non-linear consti- tutive model could provide more biological aspects of the biomechanics. In future work we plan to implement the nonlinear properties of aortic wall within the code by means of user-subroutines.
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### Numerical Analysis of Fluid-Structure Interaction between Wind Flow and Trees

The numerical solutions obtained from CFD simulation are presented and compared in this section followed by results from the static structural analysis. Results for both CFD simulations and static structural analysis are based on non-dimensionalized distances based on a 1:18 scale. Fig. 4 presents the velocity contours for (a) gentle breeze and (b) storm conditions. It is observed that the airflow tends to go around the tree rather than through it. The magnitudes of the flow field and ensuing recirculation region are much stronger for the storm condition in comparison to the gentle breeze.
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### Numerical Simulation of Fluid Structure Interaction Method on Dynamic Movement of Leukocyte in Flow Chamber

Different time steps had little effect in the process of dropping, but the leukocyte bounce time and height dif- fers. Leukocyte dropped from the initial position to the bottom of flow chamber under the influence of gravity where the distance from the initial position to the blood vessel wall is 5.3e−3m. Z-direction movement was more regular than x-direction and y-direction. Leukocyte bounced at position 4.36e−4m instead of landing on the blood vessel wall, with jumping height of 1.69e−3m (5e− 4s). After that, leukocyte began to decline to the near vascular wall and then bounce again periodically. The results of other time step were similarity. In 1.25 second of movement, leukocyte bounced six times for time step 5e−4s, five times for time step 6e−4s and te−4s. The time and distance from bottom while leukocyte jumping were shown in Table 2. The average value and variance of leukocyte bounce cycle was shown in Table 3. Clearly, the Jumping cycle time of time step 6e−4s was the big- gest and most stable. However, the height in jumping of time step 7e−4s was becoming bigger and bigger with the increase in number of hitting. Table 4 showed the leu- kocyte jump height in each cycle.
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### Using fluid Structure Interaction technique to investigate the effect of vibration on bileaflet mechanical heart valve deformation

Mazumdar [7] (Figure-1). From the CFD simulation, the vibration, von-Mises stresses on the BMHV components, including the connection pins, valve housing, and leaflet deformation were all obtained. To investigate the effect of vibration on the blood flow profile, the heartbeat was varied in the CFD model at values of 80, 90, 100, 110, and 120 BPM to obtain the blood velocity vector in the arteries. As mentioned, the CFD modelled was coupled with the Static Structure model to study the effect of varying the heart beats on the valve structure. Considering
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### Numerical simulation and control of a fluid structure interaction for a plate in a transverse flow

According to Clarke [11] there is some debate over whether these vortices should be reflected back into the exterior flow or removed from the model completely. Indeed, most of the discussion focused on the vorticity destruction mechanism. Morton [43] denied that the vorticity decayed because of wall diffusion. However, Fage and Jo- hansen [16] noted that in the case of the flat plate, the vortices – physical ones, not to be confused with blob vortices – which approach the rear of the plate will ordinar- ily be deleted by the action of viscosity. Therefore, this latter approach was used by removing the vortices whenever they come within the plate. Another problem rises in the application of this procedure, that is whether or not to remove the vortices during the intermediate substep which are required to have an average over the strength of the nascent vortices. In the current scheme it is of lesser importance than in methods where vortices are shed from all the wall since the number of created vortices is limited to two per full time-step. Thus, even for long-term simulations (e.g. 1000 iterations), it has been found that a maximum of two vortices (e.g. the two nascent vortices) were deleted at each time step. However, there is no limit to the maximum number of vortices to be deleted at each time step, and the deletion scheme is usually used for method with vortices shed continuously along the wall.
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### Mathematical Analysis of Carreau Fluid Model for Blood Flow In Tapered Constricted Arteries

To predict the flow characteristics of blood through the use of suitable fluid model, Cho and Kensey (1989) analyzed several non-Newtonian fluid models including Power law and Carreau fluid models and compared their results with the experimental results of others. Johnson et al. (2004) propounded that the Carreau fluid model is a generalized Newtonian fluid model which is most appropriate for modeling blood when it flows through narrow arteries at low shear rates. They also reported that the Carreau fluid model does not over predict the fluid behavior near the arterial wall when the blood viscosity is high with a significant non-Newtonian influence on the flow. Chang et al (2007) observed that Carreau fluid model has the high flexibility that it could be used to model blood when it flows through both larger diameter and smaller diameter arteries. Since, Carreau fluid model’s constitutive equation has four physical parameters, one can obtain more detailed information on the flow characteristics of blood in a wide range of shear rates (Akbar, 2014). Carreau fluid model’s constitutive equation can be reduced to represent Newtonian fluid behavior when the power law index is unity or the time constant is zero or both. Hence, in view of the aforementioned arguments, it is more appropriate to model the blood as Carreau fluid when it flows through narrow diameter arteries.
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### High-order fluid solver based on a combined compact integrated RBF approximation and its fluid structure interaction applications

To study the performance of the combination of the combined compact IRBF and the fully coupled approaches in simulating viscous flow, we con- sider a transient flow problem, namely Taylor-Green vortex [15]. This prob- lem is governed by the N-S equations (40)-(42) and has the analytical solu- tions

### Numerical Simulation of Working-Fluid Flow Cut in a Tube of a Steam-Boiler Membrane-Wall Evaporator

Different reasons can lead to displacement of the critical point upwards or downwards. For example, a slow down of the working-fluid stream through the evaporator pipes leads to a lowering of the critical point towards the boiler flame chamber bottom. An extreme situation occurrs in the case of a complete and immediate interuption of the working-fluid stream in the pipe when the total liquid working fluid evaporates very quickly. This is an anticipated situation in the numerical simulation.

### Two-Fluid Mathematical Models for Blood Flow in Stenosed Arteries: A Comparative Study

The pulsatile flow of blood through stenosed arteries is analyzed by assuming the blood as a two- fluid model with the suspension of all the erythrocytes in the core region as a non-Newtonian fluid and the plasma in the peripheral layer as a Newtonian fluid. The non-Newtonian fluid in the core region of the artery is assumed as a i Herschel-Bulkley fluid and ii Casson fluid. Perturbation method is used to solve the resulting system of non-linear partial diﬀerential equations. Expressions for various flow quantities are obtained for the two-fluid Casson model. Expressions of the flow quantities obtained by Sankar and Lee 2006 for the two-fluid Herschel- Bulkley model are used to get the data for comparison. It is found that the plug flow velocity and velocity distribution of the two-fluid Casson model are considerably higher than those of the two- fluid Herschel-Bulkley model. It is also observed that the pressure drop, plug core radius, wall shear stress and the resistance to flow are significantly very low for the two-fluid Casson model than those of the two-fluid Herschel-Bulkley model. Hence, the two-fluid Casson model would be more useful than the two-fluid Herschel-Bulkley model to analyze the blood flow through stenosed arteries.
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### Numerical Simulation of Viscous Dissipation and Chemical Reaction in MHD of Nanofluid | Journal of Engineering Sciences

heat transfer of the thermophoretic fluid flow past an exponentially stretched surface inserted in porous media in the presence of internal heat generation/absorption, infusion, and viscous dissemination. Afify [8] examined the MHD free convective heat and fluid flow passing over the stretched surface with chemical reaction. A nu- merical analysis of insecure MHD boundary layer flow of a nanofluid past a stretched surface in a porous media was carried out by Anwar et al. [9]. Nadeem and Haq [10] studied the magnetohydrodynamic boundary layer flow with the effect of thermal radiation over a stretching surface with the convective boundary conditions.
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