Effect of percutaneous aortic valve position on stress map in ascending aorta: A fluid‐structure interaction analysis

2020 ◽  
Author(s):  
Ivan Ibanez ◽  
Bruno A. de Azevedo Gomes ◽  
Angela O. Nieckele
Keyword(s):  
Aortic Valve ◽  
Interaction Analysis ◽  
Fluid Structure Interaction ◽  
Ascending Aorta ◽  
Fluid Structure ◽  
Structure Interaction ◽  
Valve Position

A computational fluid-structure interaction analysis of a fiber-reinforced stentless aortic valve

2003 ◽  
Vol 36 (5) ◽  
pp. 699-712 ◽  
Author(s):  
J. De Hart ◽  
F.P.T. Baaijens ◽  
G.W.M. Peters ◽  
P.J.G. Schreurs
Keyword(s):  
Aortic Valve ◽  
Interaction Analysis ◽  
Fluid Structure Interaction ◽  
Fiber Reinforced ◽  
Fluid Structure ◽  
Structure Interaction

scholarly journals Fluid-structure interaction analysis of eccentricity and leaflet rigidity on thrombosis biomarkers in bioprosthetic aortic valve replacements

2022 ◽  
Author(s):  
David Oks ◽  
Mariano Vazquez ◽  
Guillaume Houzeaux ◽  
Constantine Butakoff ◽  
Cristobal Samaniego
Keyword(s):  
Aortic Valve ◽  
Computational Model ◽  
High Performance ◽  
Interaction Analysis ◽  
Thrombus Formation ◽  
Fluid Structure Interaction ◽  
Simulation Software ◽  
Fluid Structure ◽  
Structure Interaction

This work introduces the first 2-way fluid-structure interaction (FSI) computational model to study the effect of aortic annulus eccentricity on the performance and thrombogenic risk of cardiac bioprostheses. The model predicts that increasing eccentricities yield lower geometric orifice areas (GOAs) and higher normalized transvalvular pressure gradients (TPGs) for healthy cardiac outputs during systole, agreeing with in vitro experiments. Regions with peak values of residence time and shear rate are observed to grow with eccentricity in the sinus of Valsalva, indicating an elevated risk of thrombus formation for eccentric configurations. In addition, the computational model is used to analyze the effect of varying leaflet rigidity on both performance, thrombogenic and calcification risks with applications to tissue-engineered prostheses, observing an increase in systolic and diastolic TPGs, and decrease in systolic GOA, which translates to decreased valve performance for more rigid leaflets. An increased thrombogenic risk is detected for the most rigid valves. Peak solid stresses are also analyzed, and observed to increase with rigidity, elevating risk of valve calcification and structural failure. The immersed FSI method was implemented in a high-performance computing multi-physics simulation software, and validated against a well known FSI benchmark. The aortic valve bioprosthesis model is qualitatively contrasted against experimental data, showing good agreement in closed and open states. To the authors' knowledge this is the first computational FSI model to study the effect of eccentricity or leaflet rigidity on thrombogenic biomarkers, providing a novel tool to aid device manufacturers and clinical practitioners.

scholarly journals Comparative Fluid-Structure Interaction Analysis on Influence of Banding Conditions to Ascending Aorta Aneurysm Formation in Rat

2020 ◽  
Author(s):  
Juan Su ◽  
Jun Fan ◽  
Qing Tang ◽  
Shijie Chang ◽  
Xianzheng Sha
Keyword(s):  
Aortic Aneurysm ◽  
Interaction Analysis ◽  
Fluid Structure Interaction ◽  
Ascending Aorta ◽  
Ascending Aortic Aneurysm ◽  
Fluid Structure ◽  
Aorta Aneurysm ◽  
Structure Interaction ◽  
Concentrated Flow ◽  
Precise Experiment

Abstract Background: Ascending aortic aneurysm in an important cause of mortality in cardiovascular diseases. Stenosis of aortic is considered to be a risk factor as the ascending aortic aneurysm grows. Animal models have been demonstrated that ascending aortic aneurysm could be induced by supra valvular banding of the ascending aortic. Our objective is to compare different banding conditions on the formation of aneurysms for more precise experiment and improving the preclinical value. Therefore, three comparison banding groups of banding altitude, banding severity and banding angle are established based on rat. Then flow pattern, wall shear stress (WSS) and vessel deformation of each model are calculated and discussed using transient two-way fluid-structure interaction (FSI) analysis in order to explore the influence of different banding methods on the generation of ascending aorta aneurysm.Results: Banding methods lead to different shapes or amplitudes of flow beam, WSS and vessel dilation. Eccentric flow beam, local high WSS accompany with vessel dilation are formed above the banding ring in all banding models because of the banding operation compared with normal model. More concentrated flow beam with bigger velocity, higher local WSS and more obvious expansion deformation above the banding ring are prone to happen in the middle segment banding with 60% banding severity and banding angle of 30 degree.Conclusion: According to the results, a higher position, relatively severe banding, and an acute banding angle are more favor to promote the generation of ascending aortic aneurysm.

scholarly journals Patient-specific analysis of bicuspid aortic valve hemodynamics using a fully coupled fluid-structure interaction (FSI) model

2021 ◽  
Author(s):  
TONGRAN QIN ◽  
Andres Caballero ◽  
Wenbin Mao ◽  
Brian Barrett ◽  
Norihiko Kamioka ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Bicuspid Aortic Valve ◽  
Peak Velocity ◽  
Fluid Structure Interaction ◽  
Ascending Aorta ◽  
Patient Specific ◽  
Fluid Structure ◽  
Structure Interaction ◽  
Flow Displacement ◽  
Fully Coupled

Bicuspid aortic valve (BAV), the most common congenital heart disease, is prone to develop significant valvular dysfunction and aortic wall abnormalities. Growing evidence has suggested that abnormal BAV hemodynamics could contribute to the disease progression. In order to investigate the BAV hemodynamic, we performed 3D patient-specific fluid-structure interaction (FSI) simulations of BAV with fully coupled flow dynamics and valve motions throughout the cardiac cycle. The results showed that the flow during systole can be characterized by a systolic jet and two counter-rotating recirculation vortices. At peak systole, the jet was usually eccentric, with asymmetric recirculation vortices, and helical flow motion in the ascending aorta. The flow structure at peak systole was quantified using the vorticity, flow reversal ratio and helicity index at four locations from the aortic root to the ascending aorta. The systolic jet was evaluated using the metrics including the peak velocity, normalized flow displacement, and jet angle. It was found that both the peak velocity and normalized flow displacement (rather than jet angle) of the systolic jet showed a strong correlation with the vorticity and helicity index of the flow in the ascending aorta, which suggests that these two metrics can be used for noninvasive evaluation of abnormal flow patterns in BAV patients.

Modeling of aortic valve stenosis using fluid-structure interaction method

Perfusion ◽  
2021 ◽  
pp. 026765912199854
Author(s):  
Mohammad Javad Ghasemi Pour ◽  
Kamran Hassani ◽  
Morteza Khayat ◽  
Shahram Etemadi Haghighi
Keyword(s):  
Blood Flow ◽  
Aortic Valve ◽  
Fluid Structure Interaction ◽  
Three Dimensional ◽  
Fluid Structure ◽  
Structure Interaction ◽  
Relaxation Phase ◽  
Exercise Condition ◽  
Time Dependent Domain ◽  
Comparison Of The Results

Background and objectives: Fluid structure interaction (FSI) is defined as interaction of the structures with contacting fluids. The aortic valve experiences the interaction with blood flow in systolic phase. In this study, we have tried to predict the hemodynamics of blood flow through a normal and stenotic aortic valve in two relaxation and exercise conditions using a three-dimensional FSI method. Methods: The aorta valve was modeled as a three-dimensional geometry including a normal model and two others with 25% and 50% stenosis. The geometry of the aortic valve was extracted from CT images and the models were generated by MMIMCS software and then they were implemented in ANSYS software. The pulsatile flow rate was used for all cases and the numerical simulations were conducted based on a time-dependent domain. Results: The obtained results including the velocity, pressure, and shear stress contours in different systolic time sequences were explained and discussed. The maximum blood flow velocity in relaxation phase was obtained 1.62 m/s (normal valve), 3.78 m/s (25% stenosed valve), and 4.73 m/s (50% stenosed valve). In exercise condition, the maximum velocities are 2.86, 4.32, and 5.42 m/s respectively. The maximum blood pressure in relaxation phase was calculated 111.45 mmHg (normal), 148.66 mmHg (25% stenosed), and 164.21 mmHg (50% stenosed). However, the calculated values in exercise situation were 129.57, 163.58, and 191.26 mmHg. The validation of the predicted results was also conducted using existing literature. Conclusions: We believe that such model are useful tools for biomechanical experts. The further studies should be done using experimental data and the data are implemented on the boundary conditions for better comparison of the results.

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