Soft Tissue Research Laboratory, Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, United States.
J Mech Behav Biomed Mater. 2011 Oct;4(7):1103-14. doi: 10.1016/j.jmbbm.2011.03.019. Epub 2011 Mar 23.
Modeling the mechanical properties of the annulus fibrosus has two distinct challenges: the complex loading state experienced in vivo and the anisotropic, nonlinear nature of the tissue. Previous efforts to model the annulus fibrosus have not considered shear data in the analysis, yet the shear response may be critical to understanding tissue behavior and damage. In this study, we compared four hyperelastic constitutive models fitted to uniaxial and biaxial tension, confined compression, and shear experiments from the literature. Models were either directly based on Spencer's formulation for a fiber-reinforced composite material with two equivalent fiber families or represented the annulus as two transversely isotropic materials. Each model was composed of additive strain energy terms that represent specific constituents of the annulus fibrosus (proteoglycan matrix, collagen fibers, and collagen crosslinks). Additionally, we investigated the effect of restricting the fibers such that they supported tensile loads only. Best fit coefficients for these models were calculated both including and excluding shear data from the regression. All of the models fit the data well when shear data was excluded from the regression; when shear data was included in the regression, two models that were based on Spencer's formulation performed better than the others. None of the models could consistently predict data that was not included in the regression. Restricting the fibers to support only tensile loads had only a modest effect on the fit of the models, but did alter which constituent carried the majority of the strain energy in shear deformations. Our study suggests that a single hyperelastic model may capture the anisotropic behavior of the annulus fibrosus for multiple loading cases, including shear. However, care must be taken when extrapolating these models to additional deformations outside of the training dataset.
体内经历的复杂加载状态和组织的各向异性、非线性性质。以前对纤维环进行建模的研究都没有在分析中考虑剪切数据,但剪切响应对于理解组织行为和损伤可能至关重要。在这项研究中,我们比较了四种超弹性本构模型,这些模型是根据 Spencer 提出的纤维增强复合材料的公式拟合的,有两种等效纤维族,或者将纤维环表示为两种横向各向同性材料。每个模型都由加性应变能项组成,这些项代表纤维环的特定组成部分(蛋白聚糖基质、胶原纤维和胶原交联)。此外,我们还研究了限制纤维的效果,使它们只能承受拉伸载荷。通过回归计算,我们为这些模型计算了包括和不包括剪切数据的最佳拟合系数。当从回归中排除剪切数据时,所有模型都能很好地拟合数据;当将剪切数据纳入回归时,基于 Spencer 公式的两个模型的性能优于其他模型。没有一个模型能够始终如一地预测未纳入回归的数据。将纤维限制为仅能承受拉伸载荷对模型的拟合只有适度的影响,但确实改变了在剪切变形中哪个组成部分承担了大部分应变能。我们的研究表明,单个超弹性模型可能会捕获纤维环的各向异性行为,适用于多种加载情况,包括剪切。然而,在将这些模型外推到训练数据集之外的其他变形时,必须小心谨慎。