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Micromechanically-motivated analysis of fibrous tissue

机译:微观组织的微机械促进分析

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Collagen fibers are the main load bearing component in fibrous tissues. Systematic analyses of their structure and orientation are thus crucial for the development of material models that enable to predict the mechanical tissue response. To this end, biaxial tests at different stretch ratios were performed on two tissue samples of the medial layer extracted from a human aorta. The tissues were loaded in the circumferential and axial directions simultaneously. We develop here a micromechanical model which is based on structural parameters of collagen fibers that were extracted from second-harmonic generation images of the two samples. The tissue is modeled as a periodic six-layered laminate in which the individual layers are treated as periodic fibrous structures with one family of fibers. We make use of the Hill-Mandel theory in the context of periodic homogenization to determine the overall mechanical tissue response. Both the analytical and numerical models are able to capture the overall mechanical response of the two tissue samples using a straightforward representation of the tissue structure together with a limited set of material parameters. Up to 10% of strains the model captures the almost linear response of both tissue samples. Beyond that stretch level the stiffening of the tissues becomes more evident, especially in the circumferential direction. In cases where the axial stretch is larger than the circumferential stretch the predictions are somewhat stiffer, while a very good agreement is obtained when the circumferential stretch is dominant. The stiffening of one tissue sample was substantially larger than the other, implying that higher-order stiffening mechanisms may kick in at larger strains. Our sensitivity analyses reveal that the parameters of the material model and the fiber dispersion have a minor effect on the tissue response. The novel modeling approach has the potential to reduce the need of time-consuming experimental data of the mechanical behavior of fibrous tissues.
机译:胶原纤维是纤维组织中的主要负载轴承部件。因此,其结构和方向的系统分析对于开发能够预测机械组织应答的材料模型是至关重要的。为此,对不同拉伸比的双轴试验在从人主动脉提取的中间层的两种组织样品上进行。组织同时在圆周和轴向上装载。我们在这里开发一种基于从两个样品的二次谐波产生图像提取的胶原纤维的结构参数的微机械模型。组织被建模为周期性的六层层压板,其中各个层被视为具有一系列纤维的周期性纤维结构。我们在定期均质化的背景下利用山丘语理论,以确定整体机械组织应答。分析和数值模型都能够使用组织结构的直接表示与有限的材料参数一起捕获两个组织样本的整体机械响应。高达10%的菌株模型捕获两种组织样本的几乎线性响应。除了这种拉伸水平之外,组织的加强变得更加明显,特别是在圆周方向上。在轴向拉伸大于圆周伸展的情况下,预测是稍微更硬的,而当圆周伸展是显性的时,获得了非常好的协议。一种组织样品的加强基本上大于另一个组织样品,暗示高阶加强机制可能在较大的菌株中键。我们的敏感性分析揭示了材料模型的参数和光纤分散对组织反应的微小影响。新颖的建模方法有可能降低纤维组织的机械行为的耗时实验数据的需要。

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