Amb motiu del tancament d'estiu, la validació de documents es reprendrà a partir del 28 d'agost de 2026. Disculpeu les molèsties.
Con motivo del cierre de verano, la validación de documentos se reanudará a partir del 28 de agosto de 2026. Disculpad las molestias
Due to the summer closure, document validation will resume starting August 28, 2026. We apologize for any inconvenience.

Document type

Master thesis

Publication date

Publication license

cc-by-nc-nd (c) González, 2016
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/103675

Flow in elastic networks subject to pulsatile forcing

Journal Title

Journal ISSN

Volume Title

Related resource

Abstract

The hemodynamics of a vascular vessel network can be affected by the presence of obstructions. We present a theoretical analysis of the effect that obstructions have on a vessel network under pulsatile inlet pressure, and analyze the importance of the level in which obstructions occur. The elasticity of the vessels is implemented following a recently developed model. Flow and pressure along the network are calculated for a network of equal vessels and for a network that follows Murray's law for radii. The effect of obstructions is evaluated in terms of an effective response, which relates the pressure difference, between the inlet and the outlet of the network, with the blood flow. Our calculations reveal that results obtained for a rigid network and those obtained by taking into account the elasticity of the vessel walls, are qualitatively different. The response of the network when a certain degree of obstruction is present is highly dependent on the level at which the obstructions occur

Description

Màster Oficial en Física Avançada, , Facultat de Física, Universitat de Barcelona, Curs: 2016, Tutors: Ignacio Pagonabarraga, Eugenia Corvera Poi

Citation

Citation

GONZÁLEZ, Laia (González Mena). Flow in elastic networks subject to pulsatile forcing. [consulted: 7 of August of 2026]. Available at: https://hdl.handle.net/2445/103675

Export metadata

JSON - METS

Share record