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Premium Cosserat Rod with rh ‐Adaptive Discretization
Author(s)
Wen Jiahao,
Chen Jiong,
Umetani Nobuyuki,
Bao Hujun,
Huang Jin
Publication year2020
Publication title
computer graphics forum
Resource typeJournals
PublisherWiley-Blackwell
Abstract Rod‐like one‐dimensional elastic objects often exhibit complex behaviors which pose great challenges to the discretization method for pursuing a faithful simulation. By only moving a small portion of material points, the Eulerian‐on‐Lagrangian (EoL) method already shows great adaptivity to handle sharp contact, but it is still far from enough to reproduce rich and complex geometry details arising in simulations. In this paper, we extend the discrete configuration space by unifying all Lagrangian and EoL nodes in representation for even more adaptivity with every sample being assigned with a dynamic material coordinate. However, this great extension will immediately bring in much more redundancy in the dynamic system. Therefore, we propose additional energy to control the spatial distribution of all material points, seeking to equally space them with respect to a curvature‐based density field as a monitor. This flexible approach can effectively constrain the motion of material points to resolve numerical degeneracy, while simultaneously enables them to notably slide inside the parametric domain to account for the shape parameterization. Besides, to accurately respond to sharp contact, our method can also insert or remove nodes online and adjust the energy stiffness to suppress possible jittering artifacts that could be excited in a stiff system. As a result of this hybrid rh‐adaption, our proposed method is capable of reproducing many realistic rod dynamics, such as excessive bending, twisting and knotting while only using a limited number of elements.
Subject(s)algorithm , computational science , computer graphics (images) , computer science , computer vision , discretization , geometry , mathematical analysis , mathematics
Language(s)English
SCImago Journal Rank0.578
H-Index120
eISSN1467-8659
pISSN0167-7055
DOI10.1111/cgf.14133

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