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Modélisation, analyse mathématique et simulations numériques de ...

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tel-00656013, version 1 - 3 Jan 2012<br />

146 Asymptotic analysis of blood flow in stented arteries<br />

Figure 5.1: A sk<strong>et</strong>ch of stented arteries: with a collateral artery (left), an aneurysmal sac<br />

(middle) and a 3D example of a real m<strong>et</strong>allic multi-wired stent (right)<br />

constant averaged pressure insi<strong>de</strong> the sac, it also inverts the direction of rotation of<br />

the vortex running insi<strong>de</strong> the sac: without a stent, the cavity is driven by the mean<br />

flow in the artery, the vortex is tangential to the mean flow whereas the pressure<br />

jump across the interface imposes an entering velocity profile upward the sac and an<br />

outgoing profile downward the middle of the sac.<br />

These results were established theor<strong>et</strong>ically and numerically for the steady Stokes system<br />

of equations. In this work, we s<strong>et</strong> up a preliminary toy framework in or<strong>de</strong>r to extend those<br />

results to the unsteady case.<br />

Although this is not a first attempt to consi<strong>de</strong>r the unsteady regime within the boundary<br />

layer framework (l<strong>et</strong>’s mention [113, 67]), we s<strong>et</strong> up here very basic mo<strong>de</strong>l for the time<br />

periodic case. In the context of blood flow this regime is quite well-suited since the heart<br />

<strong>de</strong>livers a periodic pressure flow impulse to the cardio-vascular system. Another advantage<br />

of this work is that it is self-consistent: extending tools presented in [40], we provi<strong>de</strong><br />

self-contained proofs for every step of our approximation process. We give, for instance, a<br />

direct proof for time periodic very weak solutions.<br />

The chapter is organized as follows: in Section 5.2 we give the basic notations and<br />

hypotheses of this work, in the next Section we perform a time Fourier expansion and we<br />

construct a boundary layer approximation. Then we show that an averaged approximation,<br />

cheaper from the computational point of view, is possible. At each step we provi<strong>de</strong><br />

theor<strong>et</strong>ical error estimates wrt the direct rough solution. An interesting feature of the<br />

wall-law is exhibited: we show that although we recover the standard ε 3/2 convergence<br />

rate in L 2 (Ω0) norm, the a priori estimates provi<strong>de</strong> only ε 1/2 rate performing a similar<br />

error as the zero or<strong>de</strong>r estimate itself. Section 5.4 is <strong>de</strong>voted to the <strong>de</strong>rivation of an implicit<br />

macroscopic wall-law in the smooth domain. Finally, Section 5.5 validates numerically theor<strong>et</strong>ical<br />

claims stated and proved in previous sections. The poor H 1 (Ω0) error is observed<br />

also on the numerical si<strong>de</strong>.

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