稳定新胡克材料的约束公式

M. Macklin, Matthias Müller
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引用次数: 23

摘要

在计算机图形学中,软体模拟通常用于动画人物或橡胶类物体上的软组织。两者都是高度不可压缩的,然而常用的模型,如共旋转FEM,即使在中等应变下也显示出显著的体积损失。新胡克模型最近在图形学中很流行。它具有优异的体积守恒性,从倒置状态恢复,并且不需要极性分解。然而,Neo-Hookean有限元问题的求解器通常基于牛顿方法,这需要能量黑森,它们的特征分解和复杂的线性求解器。此外,以这种方式直接最小化能量并不能适应不可压缩材料的建模,因为它需要无限的刚性力。本文提出了一种基于约束的新胡克能量模型。通过将能量分解为偏差(扭曲)和流体静力(体积保持)约束,我们可以应用只需要一阶梯度的迭代约束优化方法。我们将基于约束的公式与最先进的基于力的求解器进行了比较,并表明我们的方法对于刚性体积保持材料通常效率更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Constraint-based Formulation of Stable Neo-Hookean Materials
In computer graphics, soft body simulation is often used to animate soft tissue on characters or rubber like objects. Both are highly incompressible, however commonly used models such as co-rotational FEM, show significant volume loss, even under moderate strain. The Neo-Hookean model has recently become popular in graphics. It has superior volume conservation, recovers from inverted states, and does not require a polar decomposition. However, solvers for Neo-Hookean finite-element problems are typically based on Newton methods, which require energy Hessians, their Eigen-decomposition, and sophisticated linear solvers. In addition, minimizing the energy directly in this way does not accommodate modeling incompressible materials since it would require infinitely stiff forces. In this paper we present a constraint-based model of the Neo-Hookean energy. By decomposing the energy into deviatoric (distortional), and hydrostatic (volume preserving) constraints, we can apply iterative constrained-optimization methods that require only first-order gradients. We compare our constraint-based formulation to state-of-the-art force-based solvers and show that our method is often an order of magnitude more efficient for stiff volume preserving materials.
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