Institute for Computational Mechanics, Technical University of Munich, Boltzmannstr. 15, 85748, Garching b. Munich, Germany.
Munich University of Applied Sciences, Lothstr. 34, 80335, Munich, Germany.
Biomech Model Mechanobiol. 2019 Oct;18(5):1383-1400. doi: 10.1007/s10237-019-01151-3. Epub 2019 May 3.
In this study, we present a method to experimentally quantify and numerically identify the constituent-specific material behavior of soft biological tissues. This allows the clear identification of the individual contributions of major load-bearing constituents and their interactions in the constitutive law. While the overall approach is applicable for many tissues, here it will be presented for the identification of a sophisticated constituent-specific material model of viable lung parenchyma. This material model will help to better model the effects of various lung diseases that feature altered fiber content in the lungs, such as emphysema or fibrosis. To experimentally quantify the mechanical properties of collagen, elastin, collagen-elastin-fiber interactions, and ground substance, we examined 18 collagenase and elastase treated rat lung parenchymal slices. The mechanical contributions of the collagen and elastin fibers in the living tissue were inferred from uniaxial tension tests comparing the behavior before and after the selective digestion of the respective fibers. In order to also obtain the mechanical influence of the ground substance, we consecutively treated the samples with both proteases. Collagen and elastin fibers are morphologically interconnected. Thus, a mechanical interaction between these fibers appears likely, but has not yet been experimentally verified. In this paper, we propose an experimental method to quantitatively assess the mechanical behavior of these collagen-elastin-fiber interactions. Based on our experiments, we have identified individual material models within a nonlinear continuum mechanics framework for each load-bearing component via an inverse analysis. The proposed constituent-specific material law can be incorporated into computational models of the respiratory system to simulate and even predict the behavior and alteration of the individual constituents and their effect on the whole respiratory system during normal and artificial breathing, in particular in the case of diseases that alter the fibers in the tissue.
在这项研究中,我们提出了一种实验方法来定量描述和数值识别软生物组织的各向异性材料特性。这可以明确识别主要承载成分的个体贡献及其在本构律中的相互作用。虽然整体方法适用于许多组织,但这里将介绍用于识别复杂的、特定于组织的活肺实质材料模型的方法。该材料模型将有助于更好地模拟各种肺部疾病的影响,这些疾病的特征是肺部纤维含量改变,如肺气肿或纤维化。为了实验定量描述胶原蛋白、弹性蛋白、胶原蛋白-弹性纤维相互作用和基质的力学性能,我们检查了 18 个胶原酶和弹性蛋白酶处理的大鼠肺实质切片。在活组织中,通过比较选择性消化各自纤维前后的行为,从单轴拉伸试验中推断出胶原和弹性纤维的机械贡献。为了还获得基质的力学影响,我们连续用两种蛋白酶处理样品。胶原蛋白和弹性蛋白纤维在形态上相互连接。因此,这些纤维之间似乎存在机械相互作用,但尚未得到实验验证。在本文中,我们提出了一种实验方法,用于定量评估这些胶原蛋白-弹性纤维相互作用的力学行为。基于我们的实验,我们通过反分析在非线性连续体力学框架内为每个承载组件确定了个体材料模型。所提出的特定于组织的材料定律可以纳入呼吸系统的计算模型中,以模拟甚至预测单个成分的行为和变化,以及它们对整个呼吸系统的影响,特别是在改变组织中纤维的疾病的情况下。