Lokshin Olga, Lanir Yoram
Faculty of Mathematics, Technion - Israel Institute of Technology, Haifa 32000, Israel.
Biomaterials. 2009 Jun;30(17):3118-27. doi: 10.1016/j.biomaterials.2009.02.039. Epub 2009 Mar 26.
Tissues are intrinsically non-linear, anisotropic, viscoelastic, and undergo a process of mechanical adaptation (preconditioning). Previous constitutive laws considered one or two of these response aspects, often resulting in inadequate fit to data. Here we developed a general constitutive formulation encompassing the entire set of features. To exemplify this novel approach, constitutive equation for the skin was developed by stochastic incorporation of the fibers' orientation and undulation distributions. Predictions were contrasted with biaxial data of rabbit skin. The significance of each micro-feature was examined by sensitivity analysis. The results show that micro-structure based rheological characterization provides reliable representation under multiple biaxial protocols. Parametric investigation points to the essential roles of the fibers' orientation distributions (elastin and collagen) and waviness (collagen), their respective stress-strain relationship, and their viscoelasticity and preconditioning adaptation. The effect of ground substance is small but significant for model-to-data fit. Although the collagen is two order of magnitude stiffer, the contribution of elastin is predominant at low strains, and still significant (up to 20%) at high strains at which collagen carries the major load. The results are consistent with collagen preconditioning steming from stretch induced increase in the reference length, while in elastin it is the Mullins effect (strain softening). The most important impact of the study is that for the first time the entire scope of multi-axial tissue properties are unified in a single constitutive formulation. The potential implications are on the procedures of tissues characterization and on the design and analysis of artificial tissue scaffolds.
组织本质上是非线性、各向异性、粘弹性的,并且会经历机械适应(预处理)过程。先前的本构定律只考虑了这些响应方面中的一两个,常常导致对数据的拟合不足。在此,我们开发了一种涵盖所有这些特征的通用本构公式。为了例证这种新方法,通过随机纳入纤维的取向和起伏分布,开发了皮肤的本构方程。将预测结果与兔皮的双轴数据进行对比。通过敏感性分析研究了每个微观特征的重要性。结果表明,基于微观结构的流变学表征在多种双轴实验方案下能提供可靠的表征。参数研究指出了纤维取向分布(弹性蛋白和胶原蛋白)和波纹度(胶原蛋白)、它们各自的应力 - 应变关系、它们的粘弹性和预处理适应的重要作用。基质的影响虽小,但对模型与数据的拟合很重要。尽管胶原蛋白的刚度比弹性蛋白大两个数量级,但弹性蛋白在低应变时的贡献占主导,在胶原蛋白承担主要负荷的高应变时仍很显著(高达20%)。结果与胶原蛋白预处理源于拉伸引起的参考长度增加一致,而弹性蛋白则是穆林斯效应(应变软化)。该研究最重要的影响是,首次在单一本构公式中统一了多轴组织特性的整个范围。其潜在影响在于组织表征程序以及人工组织支架的设计和分析。