State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha, Hunan 410082, China; Aix-Marseille University, IFSTTAR, LBA UMRT24, Faculté de Médecine Nord, Boulevard Pierre Dramard, 13916 Marseille Cedex 20, France.
State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha, Hunan 410082, China.
J Biomech. 2019 Jun 25;91:51-60. doi: 10.1016/j.jbiomech.2019.05.001. Epub 2019 May 10.
Computational biomechanics for human body modeling has generally been categorized into two separated domains: finite element analysis and multibody dynamics. Combining the advantages of both domains is necessary when tissue stress and physical body motion are both of interest. However, the method for this topic is still in exploration. The aim of this study is to implement unique controlling strategies in finite element model for simultaneously simulating musculoskeletal body dynamics and in vivo stress inside human tissues. A finite element lower limb model with 3D active muscles was selected for the implementation of controlling strategies, which was further validated against in-vivo human motion experiments. A unique feedback control strategy that couples together a basic Proportion-Integration-Differentiation (PID) controller and generic active signals from Computed Muscle Control (CMC) method of the musculoskeletal model or normalized EMG singles was proposed and applied in the present model. The results show that the new proposed controlling strategy show a good correlation with experimental test data of the normal gait considering joint kinematics, while stress distribution of local lower limb tissue can be also detected in real-time with lower limb motion. In summary, the present work is the first step for the application of active controlling strategy in the finite element model for concurrent simulation of both body dynamics and tissue stress. In the future, the present method can be further developed to apply it in various fields for human biomechanical analysis to monitor local stress and strain distribution by simultaneously simulating human locomotion.
有限元分析和多体动力学。当关注组织应力和身体运动时，需要结合这两个领域的优势。然而，这个主题的方法仍在探索中。本研究的目的是在有限元模型中实施独特的控制策略，以同时模拟肌肉骨骼身体动力学和人体组织内的体内应力。选择具有 3D 主动肌肉的有限元下肢模型来实现控制策略，该模型进一步针对人体运动实验进行了验证。提出并应用了一种独特的反馈控制策略，该策略将基本的比例积分微分（PID）控制器与肌肉骨骼模型的计算肌肉控制（CMC）方法或归一化 EMG 单的通用主动信号结合在一起。结果表明，新提出的控制策略在考虑关节运动的正常步态的实验测试数据方面具有良好的相关性，同时可以随着下肢运动实时检测局部下肢组织的应力分布。总之，本工作是在有限元模型中应用主动控制策略同时模拟身体动力学和组织应力的第一步。将来，本方法可以进一步发展，应用于各种领域的人体生物力学分析，通过同时模拟人体运动来监测局部应力和应变分布。
