Implementation of intrinsic lumped parameter modeling into computational fluid dynamics studies of cardiopulmonary bypass

Kaufmann, Tim; Neidlin, Michael; Büsen, Martin; Sonntag, Simon J.; Steinseifer, Ulrich

doi:10.1016/j.jbiomech.2013.11.005

Cited by 24 publications

(27 citation statements)

References 20 publications

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“…The unphysiological flow distribution, generated by equal resistances behind each vessel, has been chosen to ensure the comparison of the flow data in a recent numerical study of our group (Kaufmann et al, 2014). The steady heart inflow was chosen to make a comparison to the steady cannula inflow possible.…”

Section: Discussionmentioning

confidence: 99%

“…The boundary conditions were chosen in accordance to the numerical simulations of Kaufmann et al (2014), resulting in the unphysiological flow distribution in the outgoing vessels. The fluid, a water glycerol mixture with a ratio of 56.4 / 43.6 (m Gl /m W ), has been tempered at 45 °C (±1) to achieve the ϳ viscosity of high sheared blood and a refractive index (RI) of silicone at this temperature.…”

Section: Methodsmentioning

confidence: 99%

“…The second model had an inflow tube in the aortic valve position to mimic the heart inflow. Parts of the flow data, acquired during this work, were used to validate a recent numerical study of our group (Kaufmann et al, 2014). In this previous study the hemodynamics and cerebral pressure distribution during CPB were investigated with computer fluid dynamics and lumped parameter modeling.…”

Section: Or Phasementioning

confidence: 99%

“…Several in silico studies investigate the ϰ hemodynamics during CPB with computer fluid dynamics or lumped parameter modeling. (Fukuda et al, 2009a, Kaufmann et al, 2014, Tokuda et al, 2008. As these simulations are based on model assumptions, experimental validation is indispensable.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

In vitro flow investigations in the aortic arch during cardiopulmonary bypass with stereo-PIV

Büsen

Kaufmann

Neidlin

et al. 2015

Journal of Biomechanics

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Or Phasementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

In vitro flow investigations in the aortic arch during cardiopulmonary bypass with stereo-PIV

Büsen

Kaufmann

Neidlin

et al. 2015

Journal of Biomechanics

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“…However, PIV is the most common method (Geoghegan et al 2012;Kaufmann et al 2014;Laumen et al 2010;. studied an elastic curved vessel without any branching arteries and a homogenous wall thickness of 1 mm.…”

Section: Flow Field Visualisation Techniquesmentioning

confidence: 99%

Application of a meta-analysis of aortic geometry to the generation of a compliant phantom for use in particle image velocimetry experimentation

et al. 2015

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The evolution of pressure-flow geometry in the aortic arch is increasingly understood as a key element in the treatment of hemodynamic dysfunction in patients. However, little is known about the properties of the flow across the aortic geometry and thus the sensitivity of sensor placement is also unknown. Compliant models of the aortic path can be built to allow techniques such as particle image velocimetry to measure the velocity fields. This paper presents the justification and production methodology used to generate a compliant model of the aortic arch that represents the geometry and compliance of typical hemodynamics patients. The information from twenty papers was synthesized to generate a single model of the aortic arch. The model incorporates the three branching arteries at an apex of a tapering aortic path experimental that has been manufactured as a flexible thin-walled silicon model. Calculations were undertaken to ensure that the model matches the in vivo compliance of the arteries.The experimental setup uses the compliant silicone model of the aorta with variable flow pump to mimic the cardiac cycle, and a variable extramural pressure to mimic changes in intrathoracic pressure. This research was necessary for the development of an accurate experimental setup that would enable results that are immediately applicable to the research of cardiovascular therapy optimization.

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Characterization of arterial wall mechanical properties by a non–invasive method

RamaëL

Salsac

Knopf-Lenoir

2017

Materialwissenschaft Werkst

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Simulations of the behavior of blood vessels were performed, using ANSYS Inc. software, modeling fluid‐structure interactions with both strong and weak coupling. The objective was to determine the parietal deformations induced by thermodynamic conditions and pressure drops in the relevant vessels. The simulations involved hyperelastic and large deflection models to simulate the behavior of the wall. They allow the calculation of the numerical displacements and comparison with experimental displacements measured by magnetic resonance imaging, the aim is that the difference between numerical and experimental be as low as possible to deduce the adequate mechanical parameters for the artery. To identify the mechanical properties of the vessels, the optimization technique proposed in ANSYS based on genetic algorithms or gradient algorithms was used. One of the crucial points of identification involves the determination of the non‐stress state. If it is a known parameter for the elastic tube, it has to be determining for blood vessels. The challenge of this work is to determine from a “minimum” quantity of pressure and deformation information, the hyper‐elastic properties of blood vessels. The method based on a patient‐specific geometry deformation concluded that the tangent modulus in diastole is approximately 200 kPa while that in systole is in a range of 300 kPa to 1 MPa.

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Implementation of intrinsic lumped parameter modeling into computational fluid dynamics studies of cardiopulmonary bypass

Cited by 24 publications

References 20 publications

In vitro flow investigations in the aortic arch during cardiopulmonary bypass with stereo-PIV

In vitro flow investigations in the aortic arch during cardiopulmonary bypass with stereo-PIV

Application of a meta-analysis of aortic geometry to the generation of a compliant phantom for use in particle image velocimetry experimentation

Characterization of arterial wall mechanical properties by a non–invasive method

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