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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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DTSTAMP:20260817T171534Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241204T171600
DTEND;TZID=Asia/Tokyo:20241204T172800
UID:siggraphasia_SIGGRAPH Asia 2024_sess123_papers_239@linklings.com
SUMMARY:XPBI: Position-Based Dynamics with Smoothing Kernels Handles Conti
 nuum Inelasticity
DESCRIPTION:Chang Yu and Xuan Li (University of California Los Angeles), L
 ei Lan and Yin Yang (University of Utah), and Chenfanfu Jiang (University 
 of California Los Angeles)\n\nPBD and its extension, XPBD, have been predo
 minantly applied to compliant constrained elastodynamics, with their poten
 tial in finite strain (visco-) elastoplasticity remaining underexplored. X
 PBD is often perceived to stand in contrast to other meshless methods, suc
 h as the MPM. MPM is based on discretizing the weak form of governing part
 ial differential equations within a continuum domain, coupled with a hybri
 d Lagrangian-Eulerian method for tracking deformation gradients. In contra
 st, XPBD formulates specific constraints, whether hard or compliant, to po
 sitional degrees of freedom. We revisit this perception by investigating t
 he potential of XPBD in handling inelastic materials that are described wi
 th classical continuum mechanics-based yield surfaces and elastoplastic fl
 ow rules. Our inspiration is that a robust estimation of the velocity grad
 ient is a sufficiently useful key to effectively tracking deformation grad
 ients in XPBD simulations. By further incorporating implicit inelastic con
 stitutive relationships, we introduce a plasticity in-the-loop updated Lag
 rangian augmentation to XPBD. This enhancement enables the simulation of e
 lastoplastic, viscoplastic, and granular substances following their standa
 rd constitutive laws. We demonstrate the effectiveness of our method throu
 gh high-resolution and real-time simulations of diverse materials such as 
 snow, sand, and plasticine, and its integration with standard XPBD simulat
 ions of cloth and water.\n\nRegistration Category: Full Access, Full Acces
 s Supporter\n\nLanguage Format: English Language\n\nSession Chair: Huamin 
 Wang (Style3D Research)\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_239&sess=sess123
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