Multibody dynamic simulation of knee contact mechanics
Multibody dynamic simulation of knee contact mechanics
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DOI：
10.1016/j.medengphy.2004.07.004
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发表时间：
2004-11-01
影响因子：
2.2
通讯作者：
Fregly, BJ
中科院分区：
文献类型：
--
作者：
Bei, YH;Fregly, BJ
能够同时预测肌肉力和关节接触压力的多体动态肌肉骨骼模型对于研究与膝关节退变和修复相关的临床问题具有重要价值。目前的三维多体膝关节模型要么是具有变形接触的准静态模型，要么是具有刚性接触的动态模型。本研究提出了一种将多体动力学仿真方法与可变形接触膝关节模型相结合的高效计算方法。该方法需要准备关节面几何，开发有效的方法来计算接触面之间的距离，实现有效的接触解算器，该解算器考虑了人体关节的独特特征，并规范了与任何多体动态仿真环境集成的应用编程接口。目前的实施方案适用于自然或人工胫股关节模型，小应变或大应变接触模型，以及线性或非线性材料模型。应用程序介绍了静态分析（通过动态仿真）的自然膝关节模型创建的MRI和CT数据和动态仿真的人工膝关节模型产生的制造商的CAD数据。小应变和大应变自然膝关节静力分析需要1 min的CPU时间，预测的接触条件相似，除了峰值压力，大应变模型的峰值压力更高。线性和非线性人工膝关节动力学仿真需要10 min的CPU时间，预测的接触力和扭矩相似，但接触压力不同，非线性模型由于接触面积的增加而降低。该方法为实现动态肌肉骨骼模型提供了重要的一步，该模型可以同时预测体内膝关节的运动和负荷。(c) 2002年项目。Elsevier Ltd.出版。版权所有。
Multibody dynamic musculoskeletal models capable of predicting muscle forces and joint contact pressures simultaneously would be valuable for studying clinical issues related to knee joint degeneration and restoration. Current three-dimensional multibody knee models are either quasi-static with deformable contact or dynamic with rigid contact. This study proposes a computationally efficient methodology for combining multibody dynamic simulation methods with a deformable contact knee model. The methodology requires preparation of the articular surface geometry, development of efficient methods to calculate distances between contact surfaces, implementation of an efficient contact solver that accounts for the unique characteristics of human joints, and specification of an application programming interface for integration with any multibody dynamic simulation environment. The current implementation accommodates natural or artificial tibiofemoral joint models, small or large strain contact models, and linear or nonlinear material models. Applications are presented for static analysis (via dynamic simulation) of a natural knee model created from MRI and CT data and dynamic simulation of an artificial knee model produced from manufacturer's CAD data. Small and large strain natural knee static analyses required 1 min of CPU time and predicted similar contact conditions except for peak pressure, which was higher for the large strain model. Linear and nonlinear artificial knee dynamic simulations required 10 min of CPU time and predicted similar contact force and torque but different contact pressures, which were lower for the nonlinear model due to increased contact area. This methodology provides an important step toward the realization of dynamic musculoskeletal models that can predict in vivo knee joint motion and loading simultaneously. (C) 2002 IPEM. Published by Elsevier Ltd. All rights reserved.