Tanveer, Muhammad Ubadah
(2025)
A COMPARATIVE EVALUATION OF SBES and SST k-ω TRANSITION TURBULENCE MODELS IN CARDIOVASCULAR COMPUTATIONAL FLUID DYNAMICS: PATIENT-SPECIFIC LEFT VENTRICULAR ASSIST DEVICE FLOWS AND FDA'S BENCHMARK NOZZLE.
[Laurea magistrale], Università di Bologna, Corso di Studio in
Biomedical engineering [LM-DM270] - Cesena, Documento ad accesso riservato.
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Abstract
Left ventricular assist devices (LVADs) are mechanical pumps that partially or fully support the function
of the left ventricle. However, around 10% of patients are estimated to experience a stroke within a year
of implantation. Computational fluid dynamics (CFD) enables detailed analysis of blood flow and
associated hemodynamic parameters, offering insights into stroke risk. Yet, in LVAD-supported aortas,
it remains unclear whether turbulence modeling is necessary to accurately capture hemodynamics. To
address this, we first assessed the performance of the Stress-Blended Eddy Simulation (SBES) model
in the FDA’s benchmark nozzle at a Reynolds number of 2000, and then compared it against SST
Transition and laminar models in three patient-specific LVAD–aorta geometries using Ansys Fluent.
For this purpose, patient-specific data and CT-derived geometries were provided by Erasmus MC.
Results from the FDA nozzle indicated that SBES overestimated jet breakdown location, although axial
velocities and shear rates remained consistent with experimental data at certain locations, the values at
jet breakdown region differ greatly, however longer simulations improve agreement. Across the patient
specific models, all three CFD approaches produced similar peak wall shear stress and velocity
distributions even in cases with high inlet flow suggesting predominantly laminar flow. These results
indicate that, while SBES can capture small-scale flow instabilities, simpler laminar or transition
models may suffice for routine LVAD–aorta simulations, thereby reducing computational cost.
Abstract
Left ventricular assist devices (LVADs) are mechanical pumps that partially or fully support the function
of the left ventricle. However, around 10% of patients are estimated to experience a stroke within a year
of implantation. Computational fluid dynamics (CFD) enables detailed analysis of blood flow and
associated hemodynamic parameters, offering insights into stroke risk. Yet, in LVAD-supported aortas,
it remains unclear whether turbulence modeling is necessary to accurately capture hemodynamics. To
address this, we first assessed the performance of the Stress-Blended Eddy Simulation (SBES) model
in the FDA’s benchmark nozzle at a Reynolds number of 2000, and then compared it against SST
Transition and laminar models in three patient-specific LVAD–aorta geometries using Ansys Fluent.
For this purpose, patient-specific data and CT-derived geometries were provided by Erasmus MC.
Results from the FDA nozzle indicated that SBES overestimated jet breakdown location, although axial
velocities and shear rates remained consistent with experimental data at certain locations, the values at
jet breakdown region differ greatly, however longer simulations improve agreement. Across the patient
specific models, all three CFD approaches produced similar peak wall shear stress and velocity
distributions even in cases with high inlet flow suggesting predominantly laminar flow. These results
indicate that, while SBES can capture small-scale flow instabilities, simpler laminar or transition
models may suffice for routine LVAD–aorta simulations, thereby reducing computational cost.
Tipologia del documento
Tesi di laurea
(Laurea magistrale)
Autore della tesi
Tanveer, Muhammad Ubadah
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Indirizzo
CURRICULUM INNOVATIVE TECHNOLOGIES IN DIAGNOSTICS AND THERAPY
Ordinamento Cds
DM270
Parole chiave
Computational,Cardiology,Computational,Fluid, Dynamics,LVAD,Aorta,FDA,Nozzle,Turbulence,Blood, Flow,Hemodynamics,digital,twins
Data di discussione della Tesi
26 Settembre 2025
URI
Altri metadati
Tipologia del documento
Tesi di laurea
(NON SPECIFICATO)
Autore della tesi
Tanveer, Muhammad Ubadah
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Indirizzo
CURRICULUM INNOVATIVE TECHNOLOGIES IN DIAGNOSTICS AND THERAPY
Ordinamento Cds
DM270
Parole chiave
Computational,Cardiology,Computational,Fluid, Dynamics,LVAD,Aorta,FDA,Nozzle,Turbulence,Blood, Flow,Hemodynamics,digital,twins
Data di discussione della Tesi
26 Settembre 2025
URI
Gestione del documento: