Literature DB >> 25017300

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

Diego Gallo1, Utku Gülan2, Antonietta Di Stefano1, Raffaele Ponzini3, Beat Lüthi2, Markus Holzner2, Umberto Morbiducci4.   

Abstract

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.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aortic flow; Ascending aorta; Computational fluid dynamics; Hemodynamics; Particle tracking velocimetry

Mesh:

Year:  2014        PMID: 25017300     DOI: 10.1016/j.jbiomech.2014.06.017

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  2 in total

1.  A Novel Approach for 3D-Structural Identification through Video Recording: Magnified Tracking.

Authors:  Yunus Emre Harmanci; Utku Gülan; Markus Holzner; Eleni Chatzi
Journal:  Sensors (Basel)       Date:  2019-03-11       Impact factor: 3.576

2.  Investigation of Atrial Vortices Using a Novel Right Heart Model and Possible Implications for Atrial Thrombus Formation.

Authors:  Utku Gülan; Ardan Saguner; Deniz Akdis; Alexander Gotschy; Robert Manka; Corinna Brunckhorst; Markus Holzner; Firat Duru
Journal:  Sci Rep       Date:  2017-12-01       Impact factor: 4.379

  2 in total

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