Yousefsani Seyed Abdolmajid, Karimi Mohammad Zohoor Vahid
Department of Mechanical Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, P.O. Box: 9177948974, Mashhad, Iran.
Biomech Model Mechanobiol. 2023 Apr;22(2):495-513. doi: 10.1007/s10237-022-01659-1. Epub 2022 Dec 22.
Biomechanical study of brain injuries originated from mechanical damages to white matter tissue requires detailed information on mechanical characteristics of its main components, the axonal fibers and extracellular matrix, which is very limited due to practical difficulties of direct measurement. In this paper, a new theoretical framework was established based on microstructural modeling of brain white matter tissue as a soft composite for bidirectional hyperelastic characterization of its main components. First the tissue was modeled as an Ogden hyperelastic material, and its principal Cauchy stresses were formulated in the axonal and transverse directions under uniaxial and equibiaxial tension using the theory of homogenization. Upon fitting these formulae to the corresponding experimental test data, direction-dependent hyperelastic constants of the tissue were obtained. These directional properties then were used to estimate the strain energy stored in the homogenized model under each loading scenario. A new microstructural composite model of the tissue was also established using principles of composites micromechanics, in which the axonal fibers and surrounding matrix are modeled as different Ogden hyperelastic materials with unknown constants. Upon balancing the strain energies stored in the homogenized and composite models under different loading scenarios, fully coupled nonlinear equations as functions of unknown hyperelastic constants were derived, and their optimum solutions were found in a multi-parametric multi-objective optimization procedure using the response surface methodology. Finally, these solutions were implemented, in a bottom-up approach, into a micromechanical finite element model to reproduce the tissue responses under the same loadings and predict the tissue responses under unseen non-equibiaxial loadings. Results demonstrated a very good agreement between the model predictions and experimental results in both directions under different loadings. Moreover, the axonal fibers with hyperelastic characteristics stiffer than the extracellular matrix were shown to play the dominant role in directional reinforcement of the tissue.
源于白质组织机械损伤的脑损伤生物力学研究需要其主要成分轴突纤维和细胞外基质机械特性的详细信息,由于直接测量存在实际困难,此类信息非常有限。本文基于将脑白质组织微观结构建模为软复合材料,建立了一个新的理论框架,用于对其主要成分进行双向超弹性表征。首先将该组织建模为奥格登超弹性材料,并利用均匀化理论在单轴和双轴拉伸下,在轴突方向和横向方向上建立其主柯西应力公式。将这些公式与相应的实验测试数据拟合后,得到了该组织方向依赖的超弹性常数。然后利用这些方向特性来估计在每种加载情况下均匀化模型中存储的应变能。还利用复合材料细观力学原理建立了该组织的一个新的微观结构复合模型,其中轴突纤维和周围基质被建模为具有未知常数的不同奥格登超弹性材料。在平衡不同加载情况下均匀化模型和复合模型中存储的应变能后,导出了作为未知超弹性常数函数的完全耦合非线性方程,并使用响应面方法在多参数多目标优化过程中找到了它们的最优解。最后,以自下而上的方式将这些解应用到微观力学有限元模型中,以再现相同载荷下的组织响应,并预测未见的非双轴载荷下的组织响应。结果表明,在不同载荷下,模型预测结果与两个方向的实验结果都非常吻合。此外,具有比细胞外基质更硬的超弹性特性的轴突纤维在组织的方向增强中起主导作用。