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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
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https://doi.org/10.1016/j.rineng.2024.103644.
| Título: | Modeling heart flow dynamics using numerical simulations to identify the vortex ring: a practical guide |
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| Autor/es: |
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| 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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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].
| ID de Registro: | 93539 |
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| 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 |
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