Analytic rotation-invariant modelling of anisotropic finite elements

IF 7.8 1区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING ACM Transactions on Graphics Pub Date : 2024-05-28 DOI:10.1145/3666086
Huancheng Lin, Floyd Mulenga Chitalu, Taku Komura
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引用次数: 0

Abstract

Anisotropic hyperelastic distortion energies are used to solve many problems in fields like computer graphics and engineering with applications in shape analysis, deformation, design, mesh parameterization, biomechanics and more. However, formulating a robust anisotropic energy that is low-order and yet sufficiently non-linear remains a challenging problem for achieving the convergence promised by Newton-type methods in numerical optimization. In this paper, we propose a novel analytic formulation of an anisotropic energy that is smooth everywhere, low-order, rotationally-invariant and at-least twice differentiable. At its core, our approach utilizes implicit rotation factorizations with invariants of the Cauchy-Green tensor that arises from the deformation gradient. The versatility and generality of our analysis is demonstrated through a variety of examples, where we also show that the constitutive law suggested by the anisotropic version of the well-known As-Rigid-As-Possible energy is the foundational parametric description of both passive and active elastic materials. The generality of our approach means that we can systematically derive the force and force-Jacobian expressions for use in implicit and quasistatic numerical optimization schemes, and we can also use our analysis to rewrite, simplify and speedup several existing anisotropic and isotropic distortion energies with guaranteed inversion-safety.

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各向异性有限元的旋转不变分析建模
各向异性超弹性变形能用于解决计算机图形学和工程学等领域的许多问题,在形状分析、变形、设计、网格参数化、生物力学等方面都有应用。然而,要在数值优化中实现牛顿型方法所承诺的收敛性,制定一个低阶但足够非线性的稳健各向异性能量仍然是一个具有挑战性的问题。在本文中,我们提出了一种新颖的各向异性能量解析公式,该公式处处平滑、阶数低、旋转不变且至少有两次微分。其核心是,我们的方法利用隐式旋转因式分解与变形梯度产生的考奇-格林张量的不变式。我们通过各种实例证明了我们的分析方法的通用性和普遍性,我们还证明了著名的 As-Rigid-As-Possible 能量的各向异性版本所提出的构成法则是被动和主动弹性材料的基础参数描述。我们方法的通用性意味着我们可以系统地推导出用于隐式和准静态数值优化方案的力和力-雅各布表达式,我们还可以利用我们的分析重写、简化和加速现有的几种各向异性和各向同性变形能,并保证反演安全。
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来源期刊
ACM Transactions on Graphics
ACM Transactions on Graphics 工程技术-计算机:软件工程
CiteScore
14.30
自引率
25.80%
发文量
193
审稿时长
12 months
期刊介绍: ACM Transactions on Graphics (TOG) is a peer-reviewed scientific journal that aims to disseminate the latest findings of note in the field of computer graphics. It has been published since 1982 by the Association for Computing Machinery. Starting in 2003, all papers accepted for presentation at the annual SIGGRAPH conference are printed in a special summer issue of the journal.
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