Analysis of thoracic aorta hemodynamics using 3D particle tracking velocimetry and computational fluid dynamics

作者：Gallo Diego; Guelan Utku; Di Stefano Antonietta; Ponzini Raffaele; Luethi Beat; Holzner Markus; Morbiducci Umberto^*

来源：Journal of Biomechanics, 2014, 47(12): 3149-3155.

DOI：10.1016/j.jbiomech.2014.06.017

• Aortic flow
• Computational fluid dynamics
• Particle tracking velocimetry
• Hemodynamics
• Ascending aorta

Parallel to the massive use of image-based computational hemodynamics to study the complex flow establishing in the human aorta, the need for suitable experimental techniques and ad hoc cases for the validation and benchmarking of numerical codes has grown more and more.
Here we present a study where the 3D pulsatile flow in an anatomically realistic phantom of human ascending aorta is investigated both experimentally and computationally. The experimental study uses 3D particle tracking velocimetry (PTV) to characterize the flow field in vitro, while finite volume method is applied to numerically solve the governing equations of motion in the same domain, under the same conditions. Our findings show that there is an excellent agreement between computational and measured flow fields during the forward flow phase, while the agreement is poorer during the reverse flow phase.
In conclusion, here we demonstrate that 3D PTV is very suitable for a detailed study of complex unsteady flows as in aorta and for validating computational models of aortic hemodynamics.
In a future step, it will be possible to take advantage from the ability of 3D PTV to evaluate velocity fluctuations and, for this reason, to gain further knowledge on the process of transition to turbulence occurring in the thoracic aorta.

• 出版日期2014-9-22