University of Novo mesto Faculty of Mechanical Engineering, Na Loko 2, 8000 Novo mesto, Slovenia.
J Mech Behav Biomed Mater. 2018 Oct;86:440-449. doi: 10.1016/j.jmbbm.2018.04.014. Epub 2018 Apr 21.
Modern surgical training, better understanding of the biomechanics of traumatic brain injury, and precise quantification of the difference between mechanical response of healthy and disease-modified brain tissue, require reliable experimental data and efficient mathematical/computational models. In this paper, a new methodology is proposed for prediction of the nonlinear viscoelastic behaviour of porcine brain. Time-strain superposition is applied to the brain stress relaxation data for construction of the overall master curve. The nonlinear internal-clock viscoelastic model, which is based on the free volume concept, is utilized to predict the constant shear rate (CSR) response, based on the known stress relaxation master curve. Demonstrated theoretical procedure is evaluated on the porcine brain experimental data available from the literature.
show good agreement between the predicted CSR response and the previously published CSR measurements. We may justifiably speculate that the proposed approach serves well for prediction of the nonlinear CSR behaviour of the porcine brain tissue. Since the methodology is strongly supported by the physical background, it exhibits the potential to be utilized for prediction of nonlinear behaviour in other loading modes, as well as of other tissues or viscoelastic materials.
现代外科培训、对创伤性脑损伤生物力学的更好理解、以及对健康和病变脑组织机械响应差异的精确量化,都需要可靠的实验数据和高效的数学/计算模型。本文提出了一种新的方法,用于预测猪脑的非线性黏弹性行为。时间-应变叠加应用于脑的应力松弛数据,以构建整体主曲线。基于自由体积概念的非线性内时钟黏弹性模型用于根据已知的应力松弛主曲线预测恒剪切率(CSR)响应。从文献中获得的猪脑实验数据评估了所提出的理论方法。
预测的 CSR 响应与之前发表的 CSR 测量值之间具有良好的一致性。我们可以有理由推测,所提出的方法很好地用于预测猪脑组织的非线性 CSR 行为。由于该方法得到了坚实的物理背景支持,因此它具有用于预测其他加载模式下的非线性行为以及其他组织或黏弹性材料的潜力。