Biomechanical study on the nonlinear stiffness behavior of the calf muscle and ground reaction force estimation during running

P. Jalali, S. Varahram, R. Hassannejad, M. Ettefagh
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Abstract

Understanding the biomechanical behavior of the human body in different conditions of locomotion can be very advantageous for many purposes, such as developing the humanoid robots. With this approach, the aim of this study is investigating the nonlinear stiffness behavior of the calf muscle and the exerted ground reaction force (GRF) during running. For this purpose, a new active model of human body is proposed, which the distinctive features of this model are as follows: 1) The simulation model is considered to be five degrees of freedom (5-DOF) by using the standard solid model to simulate the calf muscle; 2) The optimum values of the considered mechanical parameters are obtained using the particle swarm optimization (PSO) algorithm; 3) The stiffness of the calf muscle is considered to be nonlinear and active, which is appropriately formulated with regard to the viscoelasticity nature of the calf muscle. This model is tested for two types of hard and soft shoes, and validated by the results of previous studies. Then the effects of different conditions of body mass distribution, touchdown velocities, and different types of shoes on the GRF are investigated and discussed. The results of this study can be used in producing and development of humanoid robots, artificial limbs, etc.
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小腿肌肉非线性刚度行为的生物力学研究及跑步过程中地面反作用力的估计
了解人体在不同运动条件下的生物力学行为对许多目的都是非常有利的,例如开发类人机器人。通过这种方法,本研究的目的是研究跑步过程中小腿肌肉的非线性刚度行为和施加的地面反作用力(GRF)。为此,提出了一种新的人体活动模型,该模型的特点是:1)将仿真模型考虑为五自由度(5-DOF),采用标准实体模型模拟小腿肌肉;2)利用粒子群优化(PSO)算法得到考虑的力学参数的最优值;3)小腿肌肉的刚度被认为是非线性的和活跃的,这是适当的表述关于小腿肌肉的粘弹性性质。本模型分别对硬、软两种鞋进行了测试,并通过前人的研究结果进行了验证。在此基础上,研究了不同条件下的体重分布、着地速度、不同类型的球鞋等因素对GRF的影响。研究结果可用于仿人机器人、假肢等的生产与开发。
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