Progressive Shell Qasistatics for Unstructured Meshes

J. Zhang, Jérémie Dumas, Yun (Raymond) Fei, Alec Jacobson, Doug L. James, Danny M. Kaufman
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Abstract

Thin shell structures exhibit complex behaviors critical for modeling and design across wide-ranging applications. Capturing their mechanical response requires finely detailed, high-resolution meshes. Corresponding simulations for predicting equilibria with these meshes are expensive, whereas coarse-mesh simulations can be fast but generate unacceptable artifacts and inaccuracies. The recently proposed progressive simulation framework [Zhang et al. 2022] offers a promising avenue to address these limitations with consistent and progressively improving simulation over a hierarchy of increasingly higher-resolution models. Unfortunately, it is currently severely limited in application to meshes and shapes generated via Loop subdivision. We propose Progressive Shells Quasistatics to extend progressive simulation to the high-fidelity modeling and design of all input shell (and plate) geometries with unstructured (as well as structured) triangle meshes. To do so, we construct a fine-to-coarse hierarchy with a novel nonlinear prolongation operator custom-suited for curved-surface simulation that is rest-shape preserving, supports complex curved boundaries, and enables the reconstruction of detailed geometries from coarse-level meshes. Then, to enable convergent, high-quality solutions with robust contact handling, we propose a new, safe, and efficient shape-preserving upsampling method that ensures non-intersection and strain limits during refinement. With these core contributions, Progressive Shell Quasistatics enables, for the first time, wide generality for progressive simulation, including support for arbitrary curved-shell geometries, progressive collision objects, curved boundaries, and unstructured triangle meshes - all while ensuring that preview and final solutions remain free of intersections. We demonstrate these features across a wide range of stress-tests where progressive simulation captures the wrinkling, folding, twisting, and buckling behaviors of frictionally contacting thin shells with orders-of-magnitude speed-up in examples over direct fine-resolution simulation.
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非结构网格的渐进式壳体问世
薄壳结构表现出复杂的行为,对广泛应用的建模和设计至关重要。捕捉它们的机械反应需要非常详细的高分辨率网格。用这些网格预测平衡的相应模拟是昂贵的,而粗网格模拟可以很快,但会产生不可接受的工件和不准确性。最近提出的渐进式模拟框架[Zhang et al. 2022]提供了一个有希望的途径,通过在越来越高分辨率模型的层次结构上一致和逐步改进的模拟来解决这些限制。不幸的是,它目前在通过循环细分生成的网格和形状的应用中受到严重限制。我们提出渐进式壳准静力学将渐进式模拟扩展到具有非结构化(以及结构化)三角形网格的所有输入壳(和板)几何形状的高保真建模和设计。为此,我们构建了一个精细到粗糙的层次结构,其中包含一种适合于曲面模拟的新型非线性扩展算子,该算子具有静止形状保持功能,支持复杂的弯曲边界,并能够从粗级网格重建详细的几何形状。然后,为了实现具有鲁棒接触处理的收敛,高质量的解决方案,我们提出了一种新的,安全,高效的形状保持上采样方法,以确保精化过程中的无相交和应变限制。有了这些核心贡献,渐进式壳准静力学首次实现了渐进式模拟的广泛通用性,包括支持任意弯曲壳几何形状、渐进式碰撞对象、弯曲边界和非结构化三角形网格,同时确保预览和最终解决方案没有交集。我们通过广泛的压力测试展示了这些特征,其中渐进模拟捕获了摩擦接触薄壳的起皱、折叠、扭曲和屈曲行为,在直接精细模拟的例子中,速度提高了几个数量级。
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