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ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

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3.2 Hemodynamic simulation<br />

In order to evaluate the cerebral blood flow within both aneurysms, the governing<br />

Navier-Stokes equations for continuity and momentum are solved using the commercial<br />

software package ANSYS Fluent® 13.0 (Ansys Inc., Canonsburg, PA, USA). Blood as<br />

a suspension of plasma and cellular components is treated as an isothermal,<br />

incompressible (ρ = 1055 kg/m³) and Newtonian fluid with a constant dynamic viscosity<br />

η = 4.265 · 10 -3 Pa·s [9]. Although the viscosity of blood can show a strong shear<br />

dependency, a comparison with the typically used Carreau-Yasuda model showed no<br />

significant difference in the velocity profiles for the present range of diameters [10].<br />

The time-dependent inflow boundary condition is presented in Figure 2(a) for one<br />

cardiac cycle (T = 0.99 s). This flow rate is approximated using a complex Fourier<br />

series, which consists of multiple Fourier coefficients [5]. The vessel walls are assumed<br />

to be rigid and no-slip boundary conditions are implemented. To assure an independent<br />

outflow through all vessels, a traction-free condition is assumed.<br />

3.3 Analysis<br />

In the scope of this study most widely used indicators like the maximum magnitude of<br />

the velocity vectors or highest wall shear stresses are evaluated. Additionally, regions of<br />

elevated pressure values are detected. In order to decrease numerical errors and achieve<br />

periodicity, only the third cardiac cycle is analyzed, discarding the first two cycles [11].<br />

To investigate unsteady effects appearing within one heart beat, the parameters defined<br />

in Equations (1) and (2) are discussed. The time-averaged wall shear stresses (AWSS) as<br />

well as the oscillatory shear index (OSI) provide information regarding stressed regions<br />

on the arterial surface and may supply hints with respect to the rupture probability [12].<br />

1<br />

AWSS =<br />

T<br />

T<br />

∫WSS ⋅<br />

T ⎛<br />

⎞<br />

⎜<br />

1<br />

⎟<br />

⎜ ∫WSS<br />

⋅ dt<br />

1 T ⎟<br />

0<br />

OSI = ⎜1−<br />

T ⎟<br />

(2)<br />

2 ⎜ 1<br />

⋅ ⎟<br />

⎜ ∫ WSS dt<br />

⎟<br />

⎝<br />

T 0 ⎠<br />

Figure 2(b-c) illustrates the ROI where the ruptures occurred and the analyses are<br />

particularly focused on these areas. Post-processing is accomplished with EnSight® 9.2<br />

(CEI Inc., Apex, NC, USA) and ParaView 3.10 (Kitware Inc., Clifton Park, NY, USA).<br />

Fig. 2: Inflow boundary condition (a), regions where the ruptures occurred (b-c)<br />

0<br />

dt<br />

(1)

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