Computational modelling of flow through prosthetic heart valves using the entropic lattice-Boltzmann method

Yun, B. Min; Dasi, Lakshmi Prasad; Aidun, Cyrus K.; Yoganathan, Ajit P.

doi:10.1017/jfm.2014.54

Cited by 40 publications

(44 citation statements)

References 27 publications

(35 reference statements)

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“…However, it has been shown (Yun et al 2014a) that there is close periodicity in the flow fields with the simulation of just two cardiac cycles using this numerical method. Thus, the pulsatile flow simulations of this study only simulate two cardiac cycles.…”

Section: Numerical Set-up and Boundary Conditionsmentioning

confidence: 74%

“…The simulations of this study are validated against experimental results in Part 1 of this study (Yun et al 2014a). where s ij is the rate of strain tensor of the turbulent fluctuating velocity field (u , v , w ), and ( ) denotes time averaging.…”

Section: Turbulent Flow Featuresmentioning

confidence: 86%

“…In these simulations, only one-way FSI is performed from the solid phase onto the fluid flow. Two-way FSI is possible with this numerical methodology, and the capability of this numerical method to model two-way FSI is discussed in Part 1 of this study (Yun et al 2014a).…”

Section: Numerical Set-up and Boundary Conditionsmentioning

confidence: 99%

“…This LBM is able to capture fine-scale features of the flow throughout the cardiac cycle with spatial resolution close to the Kolmogorov scales owing to its high parallel performance. The numerical method is described in detail with validation against experiments in Part 1 of this work (Yun et al 2014a).…”

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confidence: 99%

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Highly resolved pulsatile flows through prosthetic heart valves using the entropic lattice-Boltzmann method

et al. 2014

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Prosthetic heart valves have been widely used to replace diseased or defective native heart valves. Flow through bileaflet mechanical heart valves (BMHVs) have previously demonstrated complex phenomena in the vicinity of the valve owing to the presence of two rigid leaflets. This study aims to accurately capture the complex flow dynamics for pulsatile flow through a 23 mm St Jude Medical (SJM) Regent TM BMHV. The lattice-Boltzmann method (LBM) is used to simulate pulsatile flow through the valve with the inclusion of reverse leakage flow at very high spatiotemporal resolution that can capture fine details in the pulsatile BMHV flow field. For higher-Reynolds-number flows, this high spatiotemporal resolution captures features that have not been observed in previous coarse resolution studies. In addition, the simulations are able to capture with detail the features of leaflet closing and the asymmetric b-datum leakage jet during mid-diastole. Novel flow physics are visualized and discussed along with quantification of turbulent features of this flow, which is made possible by this parallelized numerical method.

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Section: Numerical Set-up and Boundary Conditionsmentioning

confidence: 74%

Section: Turbulent Flow Featuresmentioning

confidence: 86%

Section: Numerical Set-up and Boundary Conditionsmentioning

confidence: 99%

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confidence: 99%

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Highly resolved pulsatile flows through prosthetic heart valves using the entropic lattice-Boltzmann method

et al. 2014

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“…14 Stent fracture in PPVI, without reducer, has been investigated based on patient-specific solid mechanics simulations. 29 Connected computational blood flow simulations describe the fluid mechanics due to replacement of other types of valves (typically mechanical aortic valves, e.g., 39 ) or on the hemodynamic forces that can explain the direction of stented graft migration in other arteries (e.g., the aorta 26 ). Previous hemodynamics modeling works after ToF repair studied pulmonary regurgitation with 0D 20 or 3D simulations, 12,19 but none of these have been performed yet in the context of this percutaneous pulmonary valve reducer (PPVR).…”

Section: Introductionmentioning

confidence: 99%

Blood Flow Simulations for the Design of Stented Valve Reducer in Enlarged Ventricular Outflow Tracts

Caiazzo

Guibert

Boudjemline

et al. 2015

Cardiovasc Eng Tech

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Tetralogy of Fallot is a congenital heart disease characterized over time, after the initial repair, by the absence of a functioning pulmonary valve, which causes regurgitation, and by progressive enlargement of the right ventricle outflow tract (RVOT). Due to this pathological anatomy, available transcatheter valves are usually too small to be deployed there. To avoid surgical valve replacement, an alternative consists in implanting a reducer prior to or in combination with the valve. It has been shown in animal experiments to be promising, but with some limitations. The effect of a percutaneous pulmonary valve reducer on hemodynamics in enlarged RVOT is thus studied by computational modeling. To this aim, blood flow in the RVOT is modeled with CFD coupled to a simplified valve model and 0D downstream models. Simulations are performed in an image-based geometry and boundary conditions tuned to reproduce the pathological flow without the device. Different device designs are built and compared with the initial device-free state, or with the reducer alone. Results suggest that pressure loss is higher for the reducer alone than for the full device, and that the latter successfully restores hemodynamics to a healthy state and induces a more symmetric flow in the pulmonary arteries. Moreover, pressure forces on the reducer and on the valve have the same magnitudes. Migration would occur towards the right ventricle rather than the pulmonary arteries. Results support the thesis that the reducer does not introduce clinically significant pressure gradients, as was found in animal experiments. Such study could help transfer to patients.

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Multiscale method based on coupled lattice‐Boltzmann and Langevin‐dynamics for direct simulation of nanoscale particle/polymer suspensions in complex flows

Liu

Zhu

Clausen

et al. 2019

Numerical Methods in Fluids

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Summary A hybrid computational method coupling the lattice‐Boltzmann (LB) method and a Langevin‐dynamics (LD) method is developed to simulate nanoscale particle and polymer (NPP) suspensions in the presence of both thermal fluctuation and long‐range many‐body hydrodynamic interactions (HIs). Brownian motion of the NPP is explicitly captured by a stochastic forcing term in the LD method. The LD method is two‐way coupled to the nonfluctuating LB fluid through a discrete LB forcing source distribution to capture the long‐range HI. To ensure intrinsically linear scalability with respect to the number of particles, a Eulerian‐host algorithm for short‐distance particle neighbor search and interaction is developed and embedded to LB‐LD framework. The validity and accuracy of the LB‐LD approach are demonstrated through several sample problems. The simulation results show good agreements with theory and experiment. The LB‐LD approach can be favorably incorporated into complex multiscale computational frameworks for efficiently simulating multiscale multicomponent particulate suspension systems such as complex blood suspensions.

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Computational modelling of flow through prosthetic heart valves using the entropic lattice-Boltzmann method

Cited by 40 publications

References 27 publications

Highly resolved pulsatile flows through prosthetic heart valves using the entropic lattice-Boltzmann method

Highly resolved pulsatile flows through prosthetic heart valves using the entropic lattice-Boltzmann method

Blood Flow Simulations for the Design of Stented Valve Reducer in Enlarged Ventricular Outflow Tracts

Multiscale method based on coupled lattice‐Boltzmann and Langevin‐dynamics for direct simulation of nanoscale particle/polymer suspensions in complex flows

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