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Special issue dedicated to 130th anniversary of Vladimir I. Smirnov

A fractal graph model of capillary type systems

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Pages 1044-1068 | Received 31 May 2017, Accepted 25 Jun 2017, Published online: 17 Jul 2017
 

Abstract

We consider blood flow in a vessel with an attached capillary system. The latter is modelled with the help of a corresponding fractal graph whose edges are supplied with ordinary differential equations obtained by the dimension-reduction procedure from a three-dimensional model of blood flow in thin vessels. The Kirchhoff transmission conditions must be satisfied at each interior vertex. The geometry and physical parameters of this system are described by a finite number of scaling factors which allow the system to have self-reproducing solutions. Namely, these solutions are determined by the factors’ values on a certain fragment of the fractal graph and are extended to its rest part by virtue of these scaling factors. The main result is the existence and uniqueness of self-reproducing solutions, whose dependence on the scaling factors of the fractal graph is also studied. As a corollary we obtain a relation between the pressure and flux at the junction, where the capillary system is attached to the blood vessel. This relation leads to the Robin boundary condition at the junction and this condition allows us to solve the problem for the flow in the blood vessel without solving it for the attached capillary system.

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Acknowledgements

V. K. acknowledges the support of the Swedish Research Council (VR) grant EO418401. S. N. was supported by the Russian Foundation for Basic Research grant 15-01-02175 and G. Z. was supported by the RFBR grants 15-31-20600 and 16-31-60112.

Notes

No potential conflict of interest was reported by the authors.

Additional information

Funding

V. K. was supported by of the Swedish Research Council (VR) [grant number EO418401]. S. N. was supported by the Russian Foundation for Basic Research [project number 15-01-02175], and by Linköping University (Sweden). G. Z. was supported by Linköping University and RFBR [grant number 15-31-20600], [grant number 16-31-60112]. This work was also supported by Russian Foundation for Basic Research [grant number 15-01-02175].

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