2003
DOI: 10.1002/fld.543
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Computational modelling of 1D blood flow with variable mechanical properties and its application to the simulation of wave propagation in the human arterial system

Abstract: In this paper we numerically investigate a one‐dimensional model of blood flow in human arteries using both a discontinuous Galerkin and a Taylor–Galerkin formulation. The derivation of the model and the numerical schemes are detailed and applied to two model numerical experiments. We first study the effect of an intervention, such the implantation of a vascular prosthesis (e.g. a stent), which leads to an abrupt variation of the mechanical characteristics of an artery. We then discuss the simulation of the pr… Show more

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Cited by 274 publications
(407 citation statements)
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“…A high-order discontinuous Galerkin approximation is considered in [177,178], allowing to propagate waves of different frequencies without suffering from excessive dispersion and diffusion errors, so to reliably capture the reflection at the junctions induced by tapering. Alternatively, a high-order finite volume scheme is presented in [129] and a space-time finite element method is proposed in [204].…”
Section: Numerical Discretizationmentioning
confidence: 99%
“…A high-order discontinuous Galerkin approximation is considered in [177,178], allowing to propagate waves of different frequencies without suffering from excessive dispersion and diffusion errors, so to reliably capture the reflection at the junctions induced by tapering. Alternatively, a high-order finite volume scheme is presented in [129] and a space-time finite element method is proposed in [204].…”
Section: Numerical Discretizationmentioning
confidence: 99%
“…Clearly if all artificial sections are interfaced with the 1D model, we can apply directly estimate (39). In this case, an extra positive term, depending on the boundary data of the 1D model, will appear on the right hand side of (39), as in (36) (see Lem.…”
Section: Remark 52mentioning
confidence: 99%
“…This motivates the adoption of simplified models, like for instance 1D models, originally proposed by Euler [10] and widely used nowadays [32,39]. These models are described by hyperbolic systems of partial differential equations and, despite having a lower level of accuracy compared to the fully 3D model, they capture effectively the pulse waves at a much lower computational cost.…”
mentioning
confidence: 99%
“…At the periphery of the arterial tree we typically prescribe a reflection condition [10,18], where the incoming characteristic is set to be equal to the outgoing characteristic value scaled by the reflection coefficient. More details are found in Sherwin et al [9,10].…”
Section: Boundary Conditionsmentioning
confidence: 99%
“…The physiological properties of blood flow in arterial networks can be reasonably approximated by a onedimensional model, where the blood velocity, pressure and vessel wall properties are assumed to be constant across a section [6,9,10]. The fundamental equations of conservation of mass and momentum lead to a hyperbolic conservation law describing the propagation of waves within the networks.…”
Section: Introductionmentioning
confidence: 99%