Simulation of a pulsatile total artificial heart: Development of a partitioned Fluid Structure Interaction model

Sonntag, Simon J.; Kaufmann, Tim; Büsen, Martin; Laumen, Marco; Linde, Torsten; Schmitz‐Rode, Thomas; Steinseifer, Ulrich

doi:10.1016/j.jfluidstructs.2012.11.011

Cited by 30 publications

(39 citation statements)

References 35 publications

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“…3,13,31,37 To the best of our knowledge, scientific publications which take into account both the mechanical and the fluid aspects in a coupled manner are absent. Fluid-structure interaction (FSI) is emerging as a powerful tool for the study of biomechanical problems, 33 and has been successfully applied for example to study the aortic root behavior in the presence of native valves. 1,7,8,12,15,18,22,24,29,36,[41][42][43] In this context, the present paper aims to develop an FSI model for the study and evaluation of percutaneous aortic valves.…”

Section: Introductionmentioning

confidence: 99%

Fluid–Structure Interaction Model of a Percutaneous Aortic Valve: Comparison with an In Vitro Test and Feasibility Study in a Patient-Specific Case

Pott

Mazza

et al. 2015

Ann Biomed Eng

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Transcatheter aortic valve replacement (TAVR) represents an established recent technology in a high risk patient base. To better understand TAVR performance, a fluid-structure interaction (FSI) model of a self-expandable transcatheter aortic valve was proposed. After an in vitro durability experiment was done to test the valve, the FSI model was built to reproduce the experimental test. Lastly, the FSI model was used to simulate the virtual implant and performance in a patient-specific case. Results showed that the leaflet opening area during the cycle was similar to that of the in vitro test and the difference of the maximum leaflet opening between the two methodologies was of 0.42%. Furthermore, the FSI simulation quantified the pressure and velocity fields. The computed strain amplitudes in the stent frame showed that this distribution in the patient-specific case is highly affected by the aortic root anatomy, suggesting that the in vitro tests that follow standards might not be representative of the real behavior of the percutaneous valve. The patient-specific case also compared in vivo literature data on fast opening and closing characteristics of the aortic valve during systolic ejection. FSI simulations represent useful tools in determining design errors or optimization potentials before the fabrication of aortic valve prototypes and the performance of tests.

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Section: Introductionmentioning

confidence: 99%

Fluid–Structure Interaction Model of a Percutaneous Aortic Valve: Comparison with an In Vitro Test and Feasibility Study in a Patient-Specific Case

Pott

Mazza

et al. 2015

Ann Biomed Eng

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“…Convective heat transfer equation (hot air) 15 Thermal barrier coating material cost model Table 2 that describe the heat transfer, thermal stress, and cost; (b) The resulting workflow identified by Tarjan's algorithm to solve the system of models and databases.…”

Section: Modelmentioning

confidence: 99%

“…The thermal distribution models and convective boundary models are organized into a single block due to the interdependence that is caused by the conservation of energy through the system and shared interfaces. Data indicating the thickness of the overall TBC is then transferred to the simplified cost model (15) to estimate the cost-effectiveness of the TBC, and temperature distribution data from each of the thermal models is transferred to the corresponding thermal stress models (4, 7, 10, 13) associated with the substrate and distinct layers of the TBC. As a consequence of the tensile and compressive forces that act on a layer by the adjacent layers, the stress experienced in each layer is interdependent on the stress in the alternative layers.…”

Section: Modelmentioning

confidence: 99%

“…In contrast to the monolithic approach, the partitioned approach avoids software development challenges by maintaining the modularity of all the component models. [12][13][14][15][16][17][18][19] This also allows component source codes that are developed and validated independently from one another by experts to be integrated and coupled. As a result, legacy models, in-house research models, and commercial modeling and simulation packages can potentially be utilized within the system.…”

Section: Introductionmentioning

confidence: 99%

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A Purposed Model Coupling Framework for the Rapid Assembly of Complex System Simulations within an Integrated Computational Environment

McNunn

Bryden

2014

52nd Aerospace Sciences Meeting

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Often the emergent behavior of large-scale complex engineered and natural systems is a consequence of the interaction and interconnectivity between a large numbers of component subsystems. Consequently, modeling and simulating these large-scale systems requires methods that enable large numbers of heterogeneous, distributed models and databases to be assembled into a federated architecture that supports their interoperability and information sharing. However, to accurately propagate information through a federated system of models and databases a workflow is needed that identifies any data-related interdependencies that require an implicit solution and schedule the sequence of data exchanges, model runtimes, and database queries that is needed to evaluate the overall system. Although the local data exchanges that are needed to simulate the connectivity between any two components are often well understood, identifying the necessary workflow to solve a large-scale system of component models and databases is challenging and generally not practical using a hands-on or brute-force approach. As a result, a novel method is needed that identifies the computational workflow needed to accurately propagate data through a large-scale federated system of models and databases to ensure each component receives the necessary input data from the other components in the system prior to it being solved or queried. This paper develops a methodology that utilizes Tarjan's algorithm for finding the strongly connected components of a directed graph as a mechanism for organizing and scheduling the computational workflow needed to solve federated systems of models and databases based on the local input and output data associated with each component. The methodology is applied to identify the computational workflow needed to solve a system of models and databases representing the heat transfer and thermal stress in a one-dimensional gas turbine blade wall with a thermal barrier coating, and a system of models and databases representing a hybrid gas turbine, solid oxide fuel cell energy system.

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“…Computational Fluid Dynamics (CFD) and Fluid Structure Interaction (FSI) models were previously used in simulations of various mechanical valves [11][12][13][14] and MCS devices [15,16]. Sonntag et al [17] employed FSI model to simulate the flow in the ReinHeart TAH device, where the diaphragm motion is controlled by a piston rather than air pump. Still, this study neglected the valves by imposing a simple open or closed boundary conditions.…”

Section: Introductionmentioning

confidence: 99%

Numerical model of total artificial heart hemodynamics and the effect of its size on stress accumulation

Marom¹,

Chiu²,

Slepian³

et al. 2014

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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The total artificial heart (TAH) is a bi-ventricular mechanical circulatory support device that replaces the heart in patients with end-stage congestive heart failure. The device acts as blood pump via pneumatic activation of diaphragms altering the volume of the ventricular chambers. Flow in and out of the ventricles is controlled by mechanical heart valves. The aim of this study is to evaluate the flow regime in the TAH and to estimate the thrombogenic potential during systole. Toward that goal, three numerical models of TAHs of differing sizes, that include the deforming diaphragm and the blood flow from the left chamber to the aorta, are introduced. A multiphase model with injection of platelet particles is employed to calculate their trajectories. The shear stress accumulation in the three models are calculated along the platelets trajectories and their probability density functions, which represent the `thrombogenic footprint' of the device are compared. The calculated flow regime successfully captures the mitral regurgitation and the flows that open and close the aortic valve during systole. Physiological velocity magnitudes are found in all three models, with higher velocities and increased stress accumulation predicted for smaller devices.

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Simulation of a pulsatile total artificial heart: Development of a partitioned Fluid Structure Interaction model

Cited by 30 publications

References 35 publications

Fluid–Structure Interaction Model of a Percutaneous Aortic Valve: Comparison with an In Vitro Test and Feasibility Study in a Patient-Specific Case

Fluid–Structure Interaction Model of a Percutaneous Aortic Valve: Comparison with an In Vitro Test and Feasibility Study in a Patient-Specific Case

A Purposed Model Coupling Framework for the Rapid Assembly of Complex System Simulations within an Integrated Computational Environment

Numerical model of total artificial heart hemodynamics and the effect of its size on stress accumulation

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