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DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20250110T023313Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241206T090000
DTEND;TZID=Asia/Tokyo:20241206T091100
UID:siggraphasia_SIGGRAPH Asia 2024_sess141_papers_148@linklings.com
SUMMARY:MiNNIE: a Mixed Multigrid Method for Real-time Simulation of Nonli
 near Near-Incompressible Elastics
DESCRIPTION:Technical Papers\n\nLiangwang Ruan (Peking University), Bin Wa
 ng (Beijing Institute for General Artificial Intelligence), Tiantian Liu (
 Taichi Graphics), and Baoquan Chen (Peking University)\n\nWe propose MiNNI
 E, a simple yet comprehensive framework for real-time simulation of nonlin
 ear near-incompressible elastics. To avoid the common volumetric locking i
 ssues at high Poisson's ratios of linear finite element methods (FEM), we 
 build MiNNIE upon a mixed FEM framework and further incorporate a pressure
  stabilization term to ensure excellent convergence of multigrid solvers. 
 Our pressure stabilization strategy injects bounded influence on nodal dis
 placement which can be eliminated using a quasi-Newton method. MiNNIE has 
 a specially tailored GPU multigrid solver including a modified skinning-sp
 ace interpolation scheme, a novel vertex Vanka smoother, and an efficient 
 dense solver using Schur complement. MiNNIE supports various elastic mater
 ial models and simulates them in real-time, supporting a full range of Poi
 sson's ratios up to 0.5 while handling large deformations, element inversi
 ons, and self-collisions at the same time.\n\nRegistration Category: Full 
 Access, Full Access Supporter\n\nLanguage Format: English Language\n\nSess
 ion Chair: Sheldon Andrews (École de technologie supérieure (ÉTS))
URL:https://asia.siggraph.org/2024/program/?id=papers_148&sess=sess141
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