论文标题
当运动学主导力学时:局部保存原始弹性的原始弹性,以降低有限弹性
When Kinematics Dominates Mechanics: Locally Volume-Preserving Primitives for Model Reduction in Finite Elasticity
论文作者
论文摘要
这里引入了一种新的,非常快速的计算建模范式,目的是在软机器人技术的背景下出现的特定有限弹性问题。尽管连续力学是一个非常经典的研究领域,并且已经致力于开发有限弹性的复杂组成型模型,但我们表明,在软机器人中引起的大型大型力学问题中,本构模型中的许多参数都是无关的。在大多数情况下,等效(局部推迟)约束占主导地位,并且可以将其内置在封闭形式的运动学变形字段中,甚至在考虑本构模型的其他方面。因此,我们专注于开发和应用每个观察到这一约束的原始变形。结果表明,通过构成足够多的变形,可以复制在软机器人中观察到的最常见行为。案例研究包括一个充气橡胶室,一个细长的橡胶棒和面临不同边界条件的橡胶块。我们表明,该方法的速度比有限元方法(FEM)的ABAQUS实现快50倍。物理实验和测量结果表明,相对于实验测量的位移以及彼此,我们的方法和ABAQU都有大约10%的误差。我们的方法为FEM提供了实时替代方案,并捕获了在反馈控制系统中使用的必要自由度。
A new, and extremely fast, computational modeling paradigm is introduced here for specific finite elasticity problems that arise in the context of soft robotics. Whereas continuum mechanics is a very classical area of study, and significant effort has been devoted to the development of intricate constitutive models for finite elasticity, we show that in the kinds of large-strain mechanics problems arising in soft robotics, many of the parameters in constitutive models are irrelevant. For the most part, the isochoric (locally volume-preserving) constraint dominates behavior, and this can be built into closed-form kinematic deformation fields before even considering other aspects of constitutive modeling. We therefore focus on developing and applying primitive deformations that each observe this constraint. It is shown that by composing a wide enough variety of such deformations that the most common behaviors observed in soft robots can be replicated. Case studies include an inflatable rubber chamber, a slender rubber rod, and a rubber block subjected to different boundary conditions. We show that this method is at least 50 times faster than the ABAQUS implementation of the finite element method (FEM). Physical experiments and measurements show that both our method and ABAQUS have approximately 10% error relative to experimentally measured displacements, as well as to each other. Our method provides a real-time alternative to FEM, and captures essential degrees of freedom for use in feedback control systems.