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

机译:小牛肌的非线性刚度行为的生物力学研究跑步过程中的地面反作用力估计

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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:了解人体在不同的运动条件下的生物力学行为对于许多目的来说,这种目的可能是非常有利的,例如开发人形机器人。通过这种方法,该研究的目的正在跑步期间研究小腿肌和施加的地面反作用力(GRF)的非线性刚度行为。为此目的,提出了一种新的人体主动模型,该模型的独特特征如下:1)通过使用标准实体模型,模拟模型被认为是五个自由度(5-DOF)模拟小腿肌肉; 2)使用粒子群优化(PSO)算法获得所考虑的机械参数的最佳值; 3)小腿肌的刚度被认为是非线性和活性的,其在小牛肌的粘弹性本质方面适当地配制。该模型用于两种类型的硬鞋和软鞋,并通过先前研究的结果验证。然后,研究并讨论了对GRF上的不同体重分配,触射流速度和不同类型鞋的不同条件的影响。该研究的结果可用于生产和开发人形机器人,人造肢等。

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