Modeling heart flow dynamics using numerical simulations to identify the vortex ring: a practical guide

Lazpita Suinaga, Eneko ORCID: https://orcid.org/0000-0002-4514-6471, Mares Bou, Andrea ORCID: https://orcid.org/0000-0002-3720-6710, Quintero Igeño, Pedro ORCID: https://orcid.org/0000-0003-4373-2079, Garicano Mena, Jesús ORCID: https://orcid.org/0000-0002-7422-5320 and Le Clainche Martínez, Soledad ORCID: https://orcid.org/0000-0003-3605-7351 (2024). Modeling heart flow dynamics using numerical simulations to identify the vortex ring: a practical guide. "Results in Engineering", v. 24 ; https://doi.org/10.1016/j.rineng.2024.103644.

Descripción

Título: Modeling heart flow dynamics using numerical simulations to identify the vortex ring: a practical guide
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Results in Engineering
Fecha: Diciembre 2024
Volumen: 24
Materias:
Escuela: E.T.S. de Ingeniería Aeronáutica y del Espacio (UPM)
Departamento: Matemática Aplicada a la Ingeniería Aeroespacial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

In this study, we present a comprehensive numerical analysis of blood flow within human left ventricle models, with particular emphasis on optimizing simulation conditions to enhance the realism and computational efficiency of heart flow dynamics. The objective is to determine the most effective mesh configurations, flow conditions, and boundary settings necessary for accurately capturing the formation and behavior of the vortex ring—a pivotal element in ventricular flow dynamics. Utilizing a computational fluid mechanics approach, we review the influence of both idealized and patient-specific geometries on simulation outcomes. It is imperative to consider the necessity of dynamic wall motion and the precise calibration of inlet and outlet boundary conditions, which must be designed to mimic physiological conditions as accurately as possible. These factors are of paramount importance in achieving a balance between computational resource demands and the fidelity of the simulations, thereby providing valuable insights for future cardiovascular modeling efforts. Tutorials explaining details of the simulations and the codes used are included in ModelFLOWs-app website [14].

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
TED2021-129774B-C21
DigitHEART
Sin especificar
Sin especificar
Gobierno de España
PLEC2022-009235
Sin especificar
Sin especificar
Sin especificar
Gobierno de España
PID2023-147790OB-I00
Sin especificar
Sin especificar
Sin especificar
Gobierno de España
PLEC2021-007614
Sin especificar
Sin especificar
Sin especificar

Más información

ID de Registro: 93539
Identificador DC: https://oa.upm.es/93539/
Identificador OAI: oai:oa.upm.es:93539
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/10309430
Identificador DOI: 10.1016/j.rineng.2024.103644
URL Oficial: https://www.sciencedirect.com/science/article/pii/...
Depositado por: Dr Jesús Garicano Mena
Depositado el: 30 Ene 2026 11:49
Ultima Modificación: 30 Ene 2026 11:49