High-Order Continuous Geometrical Validity

IF 7.8 1区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Federico Sichetti, Zizhou Huang, Marco Attene, Denis Zorin, Enrico Puppo, Daniele Panozzo
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引用次数: 0

Abstract

We propose a conservative algorithm to test the geometrical validity of simplicial (triangles, tetrahedra), tensor product (quadrilaterals, hexahedra), and mixed (prisms) elements of arbitrary polynomial order as they deform linearly within a time interval. Our algorithm uses a combination of adaptive Bézier refinement and bisection search to determine if, when, and where the Jacobian determinant of an element’s polynomial geometric map becomes negative in the transition from one configuration to another. In elastodynamic simulation, our algorithm guarantees that the system remains physically valid during the entire trajectory, not only at discrete time steps. Unlike previous approaches, physical validity is preserved even when our method is implemented using floating point arithmetic. Hence, our algorithm is only slightly slower than existing non-conservative methods while providing guarantees and while being an easy drop-in replacement for current validity tests. To prove the practical effectiveness of our algorithm, we demonstrate its use in a high-order Incremental Potential Contact (IPC) elastodynamic simulator and experimentally show that it prevents invalid, simulation-breaking configurations that would otherwise occur using non-conservative methods.
高阶连续几何有效性
我们提出了一种保守算法来测试任意多项式阶的简单(三角形,四面体),张量积(四边形,六面体)和混合(棱镜)元素的几何有效性,因为它们在时间间隔内线性变形。我们的算法结合了自适应bsamzier改进和等分搜索来确定一个元素的多项式几何映射的雅可比行列式在从一种构型过渡到另一种构型时是否、何时以及在何处变为负的。在弹性动力学仿真中,我们的算法保证系统在整个轨迹中保持物理有效,而不仅仅是在离散时间步长。与以前的方法不同,即使我们的方法是使用浮点运算实现的,物理有效性也保持不变。因此,我们的算法只比现有的非保守方法稍微慢一点,同时提供保证,同时是当前有效性测试的简单替代。为了证明我们的算法的实际有效性,我们演示了它在高阶增量电位接触(IPC)弹性动力学模拟器中的应用,并通过实验证明它可以防止使用非保守方法可能发生的无效的模拟破坏配置。
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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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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