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Affine Body Dynamics: Fast, Stable & Intersection-free Simulation of Stiff Materials

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arxiv 2201.10022 v2 pith:C24RW23S submitted 2022-01-25 cs.GR

classification cs.GR
keywords bodystiffrigidsimulationcontacttrajectoriesaccurateaffine
verification ladder T0 review T1 audit T2 compute T3 formal
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Simulating stiff materials in applications where deformations are either not significant or can safely be ignored is a pivotal task across fields. Rigid body modeling has thus long remained a fundamental tool and is, by far, the most popular simulation strategy currently employed for modeling stiff solids. At the same time, numerical models of a rigid body continue to pose a number of known challenges and trade-offs including intersections, instabilities, inaccuracies, and/or slow performances that grow with contact-problem complexity. In this paper we revisit this problem and present ABD, a simple and highly effective affine body dynamics framework, which significantly improves state-of-the-art stiff simulations. We trace the challenges in the rigid-body IPC (incremental potential contact) method to the necessity of linearizing piecewise-rigid (SE(3)) trajectories and subsequent constraints. ABD instead relaxes the unnecessary (and unrealistic) constraint that each body's motion be exactly rigid with a stiff orthogonality potential, while preserving the rigid body model's key feature of a small coordinate representation. In doing so ABD replaces piecewise linearization with piecewise linear trajectories. This, in turn, combines the best from both parties: compact coordinates ensure small, sparse system solves, while piecewise-linear trajectories enable efficient and accurate constraint (contact and joint) evaluations. Beginning with this simple foundation, ABD preserves all guarantees of the underlying IPC model e.g., solution convergence, guaranteed non-intersection, and accurate frictional contact. Over a wide range and scale of simulation problems we demonstrate that ABD brings orders of magnitude performance gains (two- to three-order on the CPU and an order more utilizing the GPU, which is 10,000x speedups) over prior IPC-based methods with a similar or higher simulation quality.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Robust and Efficient Penetration-Free Elastodynamics without Barriers

    cs.GR 2025-12 conditional novelty 7.0 of 10

    A barrier-free augmented-Lagrangian elastodynamics solver avoids IPC's TOI-locking and barrier ill-conditioning, reporting up to 103x speedup over GIPC on contact-rich scenes.

  2. BoxTwin: Learning Elastoplastic Articulated Object Dynamics from Videos

    cs.RO 2026-07 reject novelty 4.0 of 10

    BoxTwin models elastoplastic articulated objects as hinged links with nonlinear elastic, plastic, and damage terms, but it does not demonstrate that these dynamics are learned from video beyond qualitative replay.

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