ETD

Digital archive of theses discussed at the University of Pisa

 

Thesis etd-09162022-152650


Thesis type
Tesi di laurea magistrale
Author
DELL'AGNELLO, FRANCESCA
URN
etd-09162022-152650
Thesis title
Development and implementation of a combined CFD and mesh morphing technique for the thoracic aorta
Department
INGEGNERIA DELL'INFORMAZIONE
Course of study
INGEGNERIA BIOMEDICA
Supervisors
relatore Prof.ssa Celi, Simona
relatore Ing. Capellini, Katia
Keywords
  • thoracic aorta
  • hemodynamics
  • computational fluid dynamics
  • CFD
  • fluid-structure interaction
  • FSI
  • radial basis functions
  • RBF
  • wall compliance
Graduation session start date
07/10/2022
Availability
Withheld
Release date
07/10/2092
Summary
Thoracic aorta diseases are estimated to affect 3-6 per 100000 people every year but their epidemiology is challenging to investigate because of their silent nature and the lack of a screening programme.
Recent studies have demonstrated a correlation between the hemodynamics of thoracic aorta and the onset and progression of thoracic aorta diseases.
Computer-based simulations represent a powerful tool for the assessment of blood flow. Currently, two major approaches have been employed for the in-silico studies of the hemodynamics of thoracic aorta. The first one is embodied by the traditional Computational Fluid Dynamics (CFD). As CFD is based on the rigid wall assumption, it affects the estimation of hemodynamic parameters. The second approach is represented by the Fluid-Structure Interaction (FSI) which has higher computational costs and needs additional structural information on the aortic wall, difficult to be defined in-vivo.
In order to overcome limitations of both CFD and FSI, this thesis work was aimed to develop a novel procedure that integrated RBF mesh morphing techniques and cubic spline interpolation to follow the geometrical variations of the thoracic aorta throughout the entire cardiac cycle.
The outcomes of the simulation based on the proposed approach, in terms of pressure, volume flow rate, velocity magnitude and the main hemodynamic indices, identified the new described procedure as a powerful simulation strategy that considers shape modifications of the thoracic aorta and reduces computational times in respect to FSI method.
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