Seifzadeh A, Wang J, Oguamanam D C D, Papini M
Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, Ontario, M5B2K3, Canada.
J Biomech Eng. 2011 Aug;133(8):081004. doi: 10.1115/1.4004832.
A nonlinear biphasic fiber-reinforced porohyperviscoelastic (BFPHVE) model of articular cartilage incorporating fiber reorientation effects during applied load was used to predict the response of ovine articular cartilage at relatively high strains (20%). The constitutive material parameters were determined using a coupled finite element-optimization algorithm that utilized stress relaxation indentation tests at relatively high strains. The proposed model incorporates the strain-hardening, tension-compression, permeability, and finite deformation nonlinearities that inherently exist in cartilage, and accounts for effects associated with fiber dispersion and reorientation and intrinsic viscoelasticity at relatively high strains. A new optimization cost function was used to overcome problems associated with large peak-to-peak differences between the predicted finite element and experimental loads that were due to the large strain levels utilized in the experiments. The optimized material parameters were found to be insensitive to the initial guesses. Using experimental data from the literature, the model was also able to predict both the lateral displacement and reaction force in unconfined compression, and the reaction force in an indentation test with a single set of material parameters. Finally, it was demonstrated that neglecting the effects of fiber reorientation and dispersion resulted in poorer agreement with experiments than when they were considered. There was an indication that the proposed BFPHVE model, which includes the intrinsic viscoelasticity of the nonfibrillar matrix (proteoglycan), might be used to model the behavior of cartilage up to relatively high strains (20%). The maximum percentage error between the indentation force predicted by the FE model using the optimized material parameters and that measured experimentally was 3%.
采用一种非线性双相纤维增强多孔超粘弹性(BFPHVE)关节软骨模型,该模型考虑了加载过程中的纤维重新定向效应,以预测绵羊关节软骨在相对较高应变(20%)下的响应。本构材料参数通过耦合有限元优化算法确定,该算法利用了相对较高应变下的应力松弛压痕试验。所提出的模型纳入了软骨中固有的应变硬化、拉压、渗透率和有限变形非线性,并考虑了与纤维分散和重新定向以及相对较高应变下的固有粘弹性相关的效应。使用了一种新的优化成本函数来克服与预测有限元和实验载荷之间的大峰峰值差异相关的问题,这些差异是由于实验中使用的大应变水平导致的。发现优化后的材料参数对初始猜测不敏感。利用文献中的实验数据,该模型还能够用一组材料参数预测无侧限压缩中的横向位移和反作用力以及压痕试验中的反作用力。最后,结果表明,与考虑纤维重新定向和分散效应相比,忽略这些效应会导致与实验的一致性较差。有迹象表明,所提出的BFPHVE模型,包括非纤维状基质(蛋白聚糖)的固有粘弹性,可用于模拟高达相对较高应变(20%)的软骨行为。使用优化材料参数的有限元模型预测的压痕力与实验测量值之间的最大百分比误差为3%。