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DTSTAMP:20230103T035306Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T100000
DTEND;TZID=Asia/Seoul:20221206T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess153_papers_308@linklings.com
SUMMARY:ElastoMonolith: A Monolithic Optimization-based Liquid Solver for 
 Contact-Aware Elastic-Solid Coupling
DESCRIPTION:Technical Papers\n\nElastoMonolith: A Monolithic Optimization-
 based Liquid Solver for Contact-Aware Elastic-Solid Coupling\n\nTakahashi,
  Batty\n\nSimultaneous coupling of diverse physical systems poses signific
 ant computational challenges in terms of speed, quality, and stability. Ra
 ther than treating all components with a single discretization methodology
  (e.g., smoothed particles, material point method, Eulerian grid, etc.) th
 at is ill-suited to some components, our solver, ElastoMonolith, addresses
  three-way interactions among standard particle-in-cell-based viscous and 
 inviscid fluids, Lagrangian mesh-based deformable bodies, and rigid bodies
 . While prior methods often treat some terms explicitly or in a decoupled 
 fashion for efficiency, often at the cost of robustness or stability, we d
 emonstrate the effectiveness of a strong coupling approach that expresses 
 all of the relevant physics within one consistent and unified optimization
  problem, including fluid pressure and viscosity, elasticity of the deform
 ables, frictional solid-solid contact, and solid-fluid interface condition
 s. We further develop a numerical solver to tackle this difficult optimiza
 tion problem, incorporating projected Newton, an active set method, and a 
 transformation of the inner linear system matrix to ensure symmetric posit
 ive definiteness. Our experimental evaluations show that our framework can
  achieve high quality coupling results that avoid artifacts such as volume
  loss, instability, sticky contacts, and spurious interpenetrations.\n\nRe
 gistration Category: FULL ACCESS, EXPERIENCE PLUS ACCESS, EXPERIENCE ACCES
 S, TRADE EXHIBITOR\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_308&sess=sess15
 3
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