Multibody dynamic simulation of knee contact mechanics

被引:187
作者
Bei, YH
Fregly, BJ
机构
[1] Univ Florida, Dept Mech & Aerosp Engn, Gainesville, FL 32611 USA
[2] Univ Florida, Dept Biomed Engn, Gainesville, FL USA
[3] Univ Florida, Dept Orthopaed & Rehabil, Gainesville, FL USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
multibody dynamics; knee mechanics; elastic contact;
D O I
10.1016/j.medengphy.2004.07.004
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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.
引用
收藏
页码:777 / 789
页数:13
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