Tianjin Key Laboratory for Control Theory & Applications in Complicated Industry Systems, School of Mechanical Engineering, Tianjin University of Technology, Tianjin, PR China.
School of Chemical Engineering and Technology, Tianjin University, Tianjin, PR China.
Mater Sci Eng C Mater Biol Appl. 2014 May 1;38:244-51. doi: 10.1016/j.msec.2014.02.009. Epub 2014 Feb 15.
An optimized digital image correlation (DIC) technique was applied to investigate the depth-dependent mechanical properties of articular cartilage and simultaneously the depth-dependent nonlinear viscoelastic constitutive model of cartilage was proposed and validated. The creep tests were performed with different stress levels and it is found that the initial strain and instantaneous strain increase; however the creep compliance decreases with the increase of compressive stress. The depth-dependent creep strain of cartilage was obtained by analyzing the images acquired using the optimized DIC technique. Moreover the inhomogeneous creep compliance distributions within the tissues were determined at different creep time points. It is noted that both creep strain and creep compliance with different creep times decrease from cartilage surface to deep. The depth-dependent creep compliance increases with creep time and the increasing amplitude of creep compliance decreases along cartilage depth. The depth-dependent and stress rate dependent nonlinear stress and strain curves were obtained for articular cartilage through uniaxial compression tests. It is found that the Young's modulus of cartilage increases obviously along cartilage depth from superficial layer to deep layer and the Young's modulus of different layers for cartilage increases with the increase of stress rate. The Poisson's ratio of cartilage increases along cartilage depth with given compressive strain and the Poisson's ratio of different layers decreases with the increase of compressive strain. The depth-dependent nonlinear viscoelastic constitutive model was proposed and some creep data were applied to determine the parameters of the model. The depth-dependent compressive behaviors of cartilage were predicted by the model and the results show that there are good agreements between the experimental data and predictions.
一种优化的数字图像相关(DIC)技术被应用于研究关节软骨的深度相关力学性能,同时提出并验证了软骨的深度相关非线性黏弹性本构模型。通过不同的应力水平进行了蠕变试验,结果发现初始应变和瞬时应变增加,而蠕变柔量随压缩应力的增加而减小。通过分析优化的 DIC 技术获得的图像,得到了软骨的深度相关蠕变应变。此外,在不同的蠕变时间点确定了组织内不均匀的蠕变柔量分布。需要注意的是,不同蠕变时间的蠕变应变和蠕变柔量都从软骨表面到深层逐渐减小。随着蠕变时间的增加,深度相关的蠕变柔量增加,而蠕变柔量的增加幅度沿软骨深度逐渐减小。通过单轴压缩试验获得了关节软骨的深度相关和应力率相关的非线性应力和应变曲线。结果表明,软骨的杨氏模量从表层到深层明显增加,并且不同层的软骨杨氏模量随应力率的增加而增加。在给定的压缩应变下,软骨的泊松比沿软骨深度增加,并且不同层的泊松比随压缩应变的增加而减小。提出了深度相关的非线性黏弹性本构模型,并应用一些蠕变数据来确定模型的参数。通过模型预测了软骨的压缩行为,结果表明实验数据与预测值之间有良好的一致性。