He Ge, Fan Lei
Shanghai Key Laboratory of Mechanics in Energy Engineering, Shanghai Institute of Applied Mathematics and Mechanics, School of Mechanics and Engineering Science Shanghai University, Shanghai 200444, China.
Department of Mechanical Engineering, Michigan State University, East Lansing, MI 48824, USA.
J Biomech. 2023 Apr;151:111554. doi: 10.1016/j.jbiomech.2023.111554. Epub 2023 Mar 20.
Understanding the mechanical behaviors and properties of brain tissue are crucial to study the mechanisms of traumatic brain injury (TBI). Such injury may be associated with high rate loading conditions and the large deformation of brain tissue. Thus, constitutive models that consider the rate dependent large deformation of brain tissue and its possible damage initiation and evolution may help uncover the related mechanisms of TBI. Motivated from this, in this paper we present a fully three-dimensional large strain viscohyperelastic-damage model with the purpose of reproducing the experimentally observed rate sensitive elastic and damage-induced stress softening behaviors of brain tissue. The parameters of the proposed model can be identified using the experimental data from simple monotonic tests such as uniaxial tension, compression and simple shear. The proposed model is validated by comparing its prediction with experimental data. Good agreement between predictive results and experimental data is achieved indicating the potential of the proposed model in characterizing the mechanical behaviors of brain tissue considering rate dependence and damage effect.
了解脑组织的力学行为和特性对于研究创伤性脑损伤（TBI）的机制至关重要。这种损伤可能与高加载速率条件以及脑组织的大变形有关。因此，考虑脑组织速率相关大变形及其可能的损伤起始和演化的本构模型可能有助于揭示TBI的相关机制。基于此，本文提出了一种全三维大应变粘弹性损伤模型，旨在再现实验观察到的脑组织速率敏感弹性和损伤诱导的应力软化行为。所提出模型的参数可以使用来自简单单调试验（如单轴拉伸、压缩和简单剪切）的实验数据来识别。通过将其预测结果与实验数据进行比较来验证所提出的模型。预测结果与实验数据之间取得了良好的一致性，表明所提出的模型在考虑速率依赖性和损伤效应来表征脑组织力学行为方面具有潜力。
