ESPEFs: Exponential Spring Potential Energy Functions for Simulating Deformable Objects

O. Cetinaslan
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引用次数: 2

Abstract

Extended Position-based Dynamics (XPBD) is a well-known method to carry out the simulation of deformable objects. It extends the Position-based Dynamics (PBD) algorithm with a compliance parameter for the material stiffness and implicitly adapts the damping function within the Gauss-Seidel iteration. Although the XPBD method improves upon PBD, it can be cumbersome to fine-tune the required parameters for the desired material properties of the deformable objects. In this paper, we introduce the exponential spring potential energy functions (ESPEFs) for the XPBD simulation of the deformable objects with reduced parameter adjustments. Our method reformulates the well-known spring potential energy functions on an exponential basis which provides more vivid motion during physics-based simulations. ESPEFs enrich the hyperelasticity of the deformable models without any additional effort while the classical methods require cumbersome parameter tunings with trial-and-error tests. To demonstrate the benefits of ESPEFs, we extensively compare our simulation results with the well-known spring models, strain-based dynamics including the constitutive materials and the output of another common iterative solver (Projective Dynamics). The resulting approach is simple, stable, interactive and produces visually pleasing results.
模拟可变形物体的指数弹簧势能函数
扩展位置动力学(XPBD)是实现可变形物体仿真的一种知名方法。该算法对基于位置的动力学(PBD)算法进行了扩展,引入了材料刚度柔度参数,并在高斯-塞德尔迭代中隐式地调整了阻尼函数。虽然XPBD方法在PBD的基础上进行了改进,但要根据可变形对象的所需材料特性微调所需的参数可能会很麻烦。本文引入了指数弹簧势能函数(espef),用于减少参数调整的可变形物体的XPBD仿真。我们的方法在指数基础上重新表述了众所周知的弹簧势能函数,在基于物理的模拟中提供了更生动的运动。espef无需任何额外的努力即可丰富可变形模型的超弹性,而经典方法需要通过反复试验进行繁琐的参数调优。为了证明espef的优势,我们将模拟结果与著名的弹簧模型、基于应变的动力学(包括本构材料)和另一种常见迭代求解器(投影动力学)的输出进行了广泛的比较。由此产生的方法简单、稳定、互动,并产生视觉上令人愉悦的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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