首页> 外文会议>RSI International Conference on Robotics and Mechatronics >Biomechanical study on the nonlinear stiffness behavior of the calf muscle and ground reaction force estimation during running
【24h】

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

机译:小腿肌肉非线性刚度行为的生物力学研究和跑步过程中地面反作用力的估算

获取原文

摘要

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.
机译:对于许多目的(例如开发人形机器人),了解在不同运动条件下人体的生物力学行为可能会非常有利。通过这种方法,本研究的目的是研究小腿肌肉的非线性刚度行为以及跑步过程中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,该模型的显着特点如下:1)通过使用标准实体模型将仿真模型视为五自由度(5-DOF)。模拟小腿肌肉; 2)使用粒子群优化(PSO)算法获得考虑的机械参数的最佳值; 3)小腿肌肉的刚度被认为是非线性的并且是活跃的,其关于小腿肌肉的粘弹性的性质被适当地制定。该模型针对两种类型的硬鞋和软鞋进行了测试,并通过先前的研究结果进行了验证。然后研究并讨论了不同身体质量分布条件,着陆速度和不同类型的鞋子对GRF的影响。这项研究的结果可用于生产和开发人形机器人,假肢等。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号