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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

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y exposure to interstitial fluid shear (Wang et al, 2010). Poroelastic simulations would<br />

allow the further exploration of such complex mechanobiological processes, as well as<br />

they are already used to assess the mechanically coupled nutrition of IVD cells<br />

(Malandrino et al, 2011).<br />

However, Stokes et al. (2010) reported recently that tissue poroelastic models may<br />

become instable when physiological rapid loading are simulated. Such an issue would<br />

largely hinder the mechanobiological explorations of the IVD in silico. Thus, this study<br />

aims to evaluate whether the numerical convergence of an IVD poroelastic model is<br />

reached under physiological load rates, and to find optimal mesh conditions for proper<br />

convergence. Moreover, it was hypothesized that material property discontinuities<br />

would be a preferential site for poromechanical instabilities.<br />

3. MATERIALS AND METHODS<br />

An anatomical IVD model including the annulus fibrosus, the nucleus pulposus, and the<br />

endplates was used with four different mesh sizes: ∆h= 3.04 mm (Model 1), ∆h= 2.76<br />

mm (model 2), ∆h= 1.72 mm (model 3), and ∆h= 0.83 mm (Model 4). The collagen<br />

fibers in the annulus were not modeled in order to minimize the computational cost.<br />

Material properties were taken from the literature (Table 1), and a strain-dependent<br />

permeability was implemented (Eq. 1) (Argoubi and Shirazi-Adl, 1996):<br />

(Eq. 1)<br />

Physiological extension and axial rotation motions were simulated as pure rotations<br />

corresponding to the intersegmental motions generated by 7.5 Nm moments in a lumbar<br />

spine model for which range of motion predictions were validated (Noailly et al, 2007).<br />

Loads were applied in 1s. External pore pressure was nil. Strain energy density (SED)<br />

and fluid velocity (FV) were calculated along (1) mid-sagittal plane (Fig. 1), (2) disc<br />

circumference, and (3) posterior and (4) anterior disc height node paths. SED results<br />

were used to assess general model convergence, but the presence of possible numerical<br />

instabilities related to the poromechanical predictions was explored, and different<br />

strategies were tested to stabilize the predictions:<br />

(a) Local mesh refinements based on Vermeer and Verruijt criterion, that relates the<br />

mesh size (∆h) with the load application time (∆t) through the material Young’s<br />

modulus, E, and permeability, K to avoid numerical pore pressure oscillations (Stokes et<br />

al, 2010):<br />

(Eq. 2)<br />

(b) Material property transition area at the boundary AF-NP, using different types of<br />

interpolations for the parameter values and applying local refinements to the AF area on<br />

one hand, and to NP area on the other hand.<br />

Since the application of these strategies will require many simulation runs, the<br />

implementation will be done on one model or another depending on the computational<br />

cost. Thereafter, modifications to achieve final mesh convergence were undertaken<br />

when necessary.<br />

The numerical stability of the poromechanical results was additionally explored along a<br />

stress relaxation period of 1h, with and without swelling. Swelling application consisted<br />

in a previous step of free swelling due to a NP osmotic pressure of 0.15 MPa until pore<br />

pressure was stabilized in the IVD center.

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