Motion and Exercise Science, University of Stuttgart, Allmandring 28, 70569, Stuttgart, Germany.
Biomechanics and Biorobotics, Stuttgart Centre for Simulation Sciences (SC SimTech), University of Stuttgart, Allmandring 28, 70569, Stuttgart, Germany.
Sci Rep. 2017 Oct 16;7(1):13266. doi: 10.1038/s41598-017-13630-7.
In terrestrial locomotion, muscles undergo damped oscillations in response to limb impacts with the ground. Muscles are also actuators that generate mechanical power to allow locomotion. The corresponding elementary contractile process is the work stroke of an actin-myosin cross-bridge, which may be forcibly detached by superposed oscillations. By experimentally emulating rat leg impacts, we found that full activity and non-fatigue must meet to possibly prevent forcible cross-bridge detachment. Because submaximal muscle force represents the ordinary locomotor condition, our results show that forcible, eccentric cross-bridge detachment is a common, physiological process even during isometric muscle contractions. We also calculated the stiffnesses of the whole muscle-tendon complex and the fibre material separately, as well as Young's modulus of the latter: 1.8 MPa and 0.75 MPa for fresh, fully active and passive fibres, respectively. Our inferred Young's modulus of the tendon-aponeurosis complex suggests that stiffness in series to the fibre material is determined by the elastic properties of the aponeurosis region, rather than the tendon material. Knowing these stiffnesses and the muscle mass, the complex' eigenfrequency for responses to impacts can be quantified, as well as the size-dependency of this time scale of muscular wobbling mass dynamics.
在陆地运动中,肌肉会对肢体与地面的冲击做出阻尼振荡响应。肌肉也是产生机械功率以实现运动的执行器。相应的基本收缩过程是肌动球蛋白横桥的工作冲程,它可能会被叠加的振荡强行分离。通过实验模拟大鼠腿部冲击,我们发现,为了可能防止强制横桥分离,必须同时满足充分的活动和非疲劳。由于亚最大肌肉力量代表了普通的运动状态,我们的结果表明,即使在等长肌肉收缩期间,强制的、离心的横桥分离也是一种常见的生理过程。我们还分别计算了整个肌肉-肌腱复合体和纤维材料的刚度,以及后者的杨氏模量:新鲜、充分活跃和被动纤维分别为 1.8 MPa 和 0.75 MPa。我们推断的肌腱-腱膜复合体的杨氏模量表明,与纤维材料串联的刚度由腱膜区域的弹性特性决定,而不是由肌腱材料决定。了解这些刚度和肌肉质量,可以量化对冲击的响应的固有频率,以及肌肉摆动质量动力学的时间尺度的尺寸依赖性。