Strickland M A, Arsene C T C, Pal S, Laz P J, Taylor M
Bioengineering Science Research Group, School of Engineering Sciences, University of Southampton, Southampton, UK.
Comput Methods Biomech Biomed Engin. 2010 Dec;13(6):701-9. doi: 10.1080/10255840903476463.
Explicit finite element (FE) and multi-body dynamics (MBD) models have been developed to evaluate total knee replacement (TKR) mechanics as a complement to experimental methods. In conjunction with these models, probabilistic methods have been implemented to predict performance bounds and identify important parameters, subject to uncertainty in component alignment and experimental conditions. Probabilistic methods, such as advanced mean value (AMV) and response surface method (RSM), provide an efficient alternative to the gold standard Monte Carlo simulation technique(MCST). The objective of the current study was to benchmark models from three platforms (two FE and one MBD) using various probabilistic methods by predicting the influence of alignment variability and experimental parameters on TKR mechanics in simulated gait. Predicted kinematics envelopes were on average about 2.6mm for tibial anterior-posterior translation, 2.98 for tibial internal–external rotation and 1.9 MPa for tibial peak contact pressure for the various platforms and methods. Based on this good agreement with the MCST, the efficient probabilistic techniques may prove useful in the fast evaluation of new implant designs, including considerations of uncertainty, e.g. misalignment.
已开发出显式有限元（FE）和多体动力学（MBD）模型，作为实验方法的补充来评估全膝关节置换术（TKR）的力学性能。结合这些模型，已采用概率方法来预测性能边界并识别重要参数，这些参数受部件对准和实验条件不确定性的影响。诸如高级均值（AMV）和响应面法（RSM）等概率方法，为金标准蒙特卡罗模拟技术（MCST）提供了一种有效的替代方法。本研究的目的是通过预测对准变异性和实验参数对模拟步态中TKR力学性能的影响，使用各种概率方法对来自三个平台（两个FE和一个MBD）的模型进行基准测试。对于各种平台和方法，预测的运动学包络在胫骨前后平移方面平均约为2.6mm，在胫骨内外旋转方面为2.98，在胫骨峰值接触压力方面为1.9MPa。基于与MCST的良好一致性，高效的概率技术可能在快速评估新植入物设计（包括考虑不确定性，如未对准）方面证明是有用的。
