2003
DOI: 10.1002/mma.407
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Mathematical analysis of the quasilinear effects in a hyperbolic model blood flow through compliant axi‐symmetric vessels

Abstract: SUMMARYIn this paper, we present a mathematical analysis of the quasilinear e ects arising in a hyperbolic system of partial di erential equations modelling blood ow through large compliant vessels. The equations are derived using asymptotic reduction of the incompressible Navier-Stokes equations in narrow, long channels.To guarantee strict hyperbolicity we ÿrst derive the estimates on the initial and boundary data which imply strict hyperbolicity in the region of smooth ow. We then prove a general theorem whi… Show more

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Cited by 142 publications
(65 citation statements)
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“…Some of the authors of this paper have already theoretically investigated the Starling resistor effect of the retinal venules using a lumped model to describe the retinal circulation (Guidoboni et al 2014b), and it would be very interesting to extend the present model by incorporating such an effect. Even though in the present contribution the simulations have been carried out in the case of rigid vessel walls, reduced models for large compliant and collapsible vessels are already available in the literature Formaggia et al (2009),Čanić andKim (2003) and George and Liu (1981). The main challenge from the mathematical viewpoint is to deal with a nonlinear hyperbolic system, particularly at the junctions between branches, where there might be the occurrence of spurious reflected waves to be properly handled by the numerical scheme.…”
Section: Model Assumptions and Limitationsmentioning
confidence: 98%
“…Some of the authors of this paper have already theoretically investigated the Starling resistor effect of the retinal venules using a lumped model to describe the retinal circulation (Guidoboni et al 2014b), and it would be very interesting to extend the present model by incorporating such an effect. Even though in the present contribution the simulations have been carried out in the case of rigid vessel walls, reduced models for large compliant and collapsible vessels are already available in the literature Formaggia et al (2009),Čanić andKim (2003) and George and Liu (1981). The main challenge from the mathematical viewpoint is to deal with a nonlinear hyperbolic system, particularly at the junctions between branches, where there might be the occurrence of spurious reflected waves to be properly handled by the numerical scheme.…”
Section: Model Assumptions and Limitationsmentioning
confidence: 98%
“…These algorithms are then related to the 1-D equations of blood flow in elastic vessels ("The 1-D Formulation, From the 1-D Equations to the Windkessel Pressure, 3-Element Windkessel and 1-D Model Pressures, and Diastolic flow"), which are a reasonable approach to model pulse wave propagation in systemic arteries (Olufsen et al. 2000; Čanić and Kim 2003; Steele et al. 2003; Quarteroni and Formaggia 2004; Matthys et al.…”
Section: Introductionmentioning
confidence: 99%
“…For this situation 1D modelling can offer greater advantages in revealing the pressure and flow changes along the full length of the vessel studied. Canic and Kim [115] have studied in detail the characteristics of the axisymmetric form of the Navier-Stokes equations. They demonstrate that, providing the radius of the vessel is small relative to a characteristic wavelength, the radial momentum equation dictates that the pressure is constant over any cross-section and that, on integrating the axial momentum equation over the cross-sectional area of the vessel, the radial velocity terms are subsumed into an area term.…”
Section: D Cardiovascular Modelsmentioning
confidence: 99%
“…For the 1D, 2D or 3D distributed parameter models, the boundary conditions can be either prescribed values for variables in the governing equations, or prescribed values for the derivatives of variables, or prescribed values for the linear combination of variables and their derivatives. The 0D and 1D models use pressure and velocity (or flow rate) as basic variables, spatially averaged (or integrated) over the transverse plane (as discussed earlier, uniform pressure on a cross-section is a consequence of the radial momentum equation, whilst the velocity distribution in the nonlinear convective term can be represented by a correction coefficient [115]). The 2D and 3D models often utilise pressure and velocity as primitive variables.…”
Section: Multi-scale Modellingmentioning
confidence: 99%