DTA

Archivio Digitale delle Tesi e degli elaborati finali elettronici

 

Tesi etd-10042023-124859

Tipo di tesi
Corso Ordinario Secondo Livello
Autore
PENNONI, PAOLO
URN
etd-10042023-124859
Titolo
Numerical simulations of a windkessel system
Struttura
Cl. Sc. Sperimentali - Ingegneria
Corso di studi
INGEGNERIA - INGEGNERIA
Commissione
Tutor Prof. ODDO, CALOGERO MARIA
Presidente Prof. CIARAMELLA, ERNESTO
Membro Prof. SOLAZZI, MASSIMILIANO
Membro Prof. SABATINI, ANGELO MARIA
Membro Prof. CIPRIANI, CHRISTIAN
Membro Prof.ssa niero, monia
Membro Prof. FONTANA, MARCO
Parole chiave
  • cardiovascular numerical simulation
  • windkessel
Data inizio appello
15/12/2023;
Disponibilità
parziale
Riassunto analitico
In cardiovascular research windkessel refers to a simplified model used to mimic the impedance of arteries and vessels. In the context of three-dimensional (3D) numerical simulations, the windkessel model is parameterized as a 0D system and the resulting system of ordinary differential equations is used as a boundary condition to a subset of the cardiovascular system. However connecting this lower dimensional model to the 3D simulation is ill posed, since the coupling relies in assuming the velocity and/or pressure distribution at the inlets/outlets of the 3D system.
As an attempt to overcome the above mentioned issues, this master’s thesis proposes a full 3D numerical solution of a windkessel system, which can be applied as a 3D closed-loop condition in cardiovascular numerical simulations. The system is made of a cylindrical tube partially deformable, along with porous and flow acceleration regions, in order to account for the resistive, capacitive and inertial nature of the underlying vessels. The simulation employs a direct numerical simulation of the Navier Stokes Equations for the fluid flow, whereas immersed boundary method has been used to simulate the interaction between fluid and the immersed bodies.
The results, in terms of pressure and flow-rate, are consistent with physiological values and this model is promising to be incorporated in high-fidelity computational models of the human heart.
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