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Simulating contact using the elastic foundation algorithm in OpenSim

机译:使用OpenSim中的弹性基础算法模拟触点

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Modeling joint contact in OpenSim is not well understood. This study systematically investigated the variables associated with the elastic foundation contact model within OpenSim by performing a series of controlled benchtop experiment and concomitant simulations. Four metal-on-plastic interactions were modeled, including a model of a total knee replacement (TKR). Load-displacement curves were recorded during cyclic loading between 100 and 750 N. Geometries were imported and into OpenSim and contact mechanics were modeled with the on-board elastic foundation algorithm. A hybrid optimization algorithm determined that stiffness and dissipation coefficients for TKR implants were 1.52 x 10(10) N/m and 57.7 Ns/m, respectively. Estimations of contact forces were 10.2% of blinded experimental data (average root mean square error: 76.82 +/- 11.47 N). In the second portion of this study, freely available eTibia TKR renderings were used to test the ubiquity of the tuning parameters. They were also used to perform a sensitivity analysis of material stiffness and mesh density with regard to penetration depth and computational time. When a stiffness of 1 x 10(10) was applied to an eTibia model with 5000 faces, a 100 kg load caused 0.259 mm of penetration. Under the same conditions, the tuned model experienced 0.300 mm of penetration. Material stiffnesses between 1 x 10(13) and 1 x 10(15) N/m increased computation time by factors of 12-23. This study provides much needed clarity regarding the use of the OpenSim EF algorithm. It also demonstrates the utility of OpenSim to model deformable materials and complex geometries, and this approach can be adapted to make reasonable estimations for both natural and surgically modified joints. (C) 2018 Elsevier Ltd. All rights reserved.
机译:Opensim中的联合接触的建模尚不清楚。本研究通过执行一系列受控台式实验和伴随模拟,系统地研究了与OpenSim内的弹性基础接触模型相关的变量。建模四个金属塑料相互作用,包括全膝关节替换的模型(TKR)。在100到750n n的循环负载期间记录负载 - 位移曲线。进口几何形状,并用车载弹性基础算法建模了opensim和接触力学。杂化优化算法确定TKR植入物的刚度和耗散系数分别为1.52×10(10)个N / m和57.7ns / m。接触力的估计为10.2%的盲法实验数据(平均根部均线误差:76.82 +/- 11.47 n)。在本研究的第二部分中,自由可用的Etibia TKR渲染用于测试调谐参数的无处不在。它们还用于对渗透深度和计算时间进行材料刚度和网眼密度的敏感性分析。当刚度为1×10(10)的刚度模型时,用5000面向Etibia模型,100kg负载引起0.259毫米的渗透。在相同的条件下,调谐模型经历了0.300毫米的渗透。材料刚度在1×10(13)和1×10(15)n / m之间的计算时间为12-23。本研究提供了有关OpenSIM EF算法的许多所需清楚性。它还展示了OpenSim的效用,以模型可变形材料和复杂的几何形状,并且这种方法可以适用于天然和手术改性的关节的合理估计。 (c)2018年elestvier有限公司保留所有权利。

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