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具有肌球蛋白-肌动蛋白结合的唯象肌肉本构模型用于模拟主动拉伸。

Phenomenological Muscle Constitutive Model With Actin-Titin Binding for Simulating Active Stretching.

机构信息

Department of Mechanical Engineering, University of Ottawa, 161 Louis-Pasteur, Ottawa, ON K1N 6N5, Canada.

出版信息

J Biomech Eng. 2025 Jan 1;147(1). doi: 10.1115/1.4066564.

Abstract

The force produced by a muscle depends on its contractile history, yet human movement simulations typically employ muscle models that define the force-length relationship from measurements of fiber force during isometric contractions. In these muscle models, the total force-length curve can have a negative slope at fiber lengths greater than the fiber length at which peak isometric force is produced. This region of negative stiffness can cause numerical instability in simulations. Experiments have found that the steady-state force in a muscle fiber following active stretching is greater than the force produced during a purely isometric contraction. This behavior is called residual force enhancement. We present a constitutive model that exhibits force enhancement, implemented as a hyperelastic material in the febio finite element software. There is no consensus on the mechanisms responsible for force enhancement; we adopt the assumption that the passive fiber force depends on the sarcomere length at the instant that the muscle is activated above a threshold. We demonstrate the numerical stability of our model using an eigenvalue analysis and by simulating a muscle whose fibers are of different lengths. We then use a three-dimensional muscle geometry to verify the effect of force enhancement on the development of stress and the distribution of fiber lengths. Our proposed muscle material model is one of the few models available that exhibits force enhancement and is suitable for simulations of active lengthening. We provide our implementation in febio so that others can reproduce and extend our results.

摘要

肌肉产生的力取决于其收缩历史,但人类运动模拟通常采用肌肉模型,该模型根据等长收缩期间纤维力的测量来定义力-长度关系。在这些肌肉模型中,总力-长度曲线在纤维长度大于产生等长最大力的纤维长度时可能具有负斜率。该负刚度区域可能会导致模拟中的数值不稳定性。实验发现,在主动拉伸后肌肉纤维中的稳态力大于在纯等长收缩期间产生的力。这种行为称为残余力增强。我们提出了一种表现出力增强的本构模型,该模型在 febio 有限元软件中作为超弹性材料实现。对于导致力增强的机制尚无共识;我们采用的假设是,被动纤维力取决于肌肉在超过阈值被激活时的肌节长度。我们使用特征值分析和模拟纤维长度不同的肌肉来证明我们模型的数值稳定性。然后,我们使用三维肌肉几何形状来验证力增强对应力发展和纤维长度分布的影响。我们提出的肌肉材料模型是少数表现出力增强且适合主动伸长模拟的模型之一。我们在 febio 中提供了我们的实现,以便其他人可以复制和扩展我们的结果。

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