Hrapko M, van Dommelen J A W, Peters G W M, Wismans J S H M
Materials Technology Institute, Eindhoven University of Technology, Eindhoven, The Netherlands.
Biorheology. 2008;45(6):663-76.
No validated, generally accepted data set on the mechanical properties of brain tissue exists, not even for small strains. Most of the experimental and methodological issues have previously been addressed for linear shear loading. The objective of this work was to obtain a consistent data set for the mechanical response of brain tissue to either compression or shear. Results for these two deformation modes were obtained from the same samples to reduce the effect of inter-sample variation. Since compression tests are not very common, the influence of several experimental conditions for the compression measurements was analysed in detail. Results with and without initial contact of the sample with the loading plate were compared. The influence of a fluid layer surrounding the sample and the effect of friction were examined and were found to play an important role during compression measurements.To validate the non-linear viscoelastic constitutive model of brain tissue that was developed in Hrapko et al. (Biorheology 43 (2006), 623-636) and has shown to provide a good prediction of the shear response, the model has been implemented in the explicit Finite Element code MADYMO. The model predictions were compared to compression relaxation results up to 15% strain of porcine brain tissue samples. Model simulations with boundary conditions varying within the physical ranges of friction, initial contact and compression rate are used to interpret the compression results.
目前不存在经过验证的、被广泛接受的脑组织力学性能数据集,即使是针对小应变情况也没有。大多数实验和方法学问题此前已针对线性剪切加载进行了探讨。这项工作的目的是获得一组关于脑组织对压缩或剪切力学响应的一致数据集。这两种变形模式的结果取自相同样本,以减少样本间差异的影响。由于压缩试验不太常见,因此详细分析了压缩测量中几个实验条件的影响。比较了样本与加载板有无初始接触时的结果。研究了样本周围流体层的影响以及摩擦的作用,发现它们在压缩测量过程中起着重要作用。为了验证Hrapko等人(《生物流变学》43 (2006), 623 - 636)中开发的脑组织非线性粘弹性本构模型,该模型已被证明能很好地预测剪切响应,已在显式有限元代码MADYMO中实现该模型。将模型预测结果与猪脑组织样本高达15%应变的压缩松弛结果进行了比较。使用在摩擦、初始接触和压缩率的物理范围内变化的边界条件进行模型模拟,以解释压缩结果。