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DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035312Z
LOCATION:Room 325-AB\, Level 3\, West Wing
DTSTART;TZID=Asia/Seoul:20221209T090000
DTEND;TZID=Asia/Seoul:20221209T103000
UID:siggraphasia_SIGGRAPH Asia 2022_sess176_papers_308@linklings.com
SUMMARY:ElastoMonolith: A Monolithic Optimization-based Liquid Solver for 
 Contact-Aware Elastic-Solid Coupling
DESCRIPTION:Technical Communications, Technical Papers, TOG\n\nElastoMonol
 ith: A Monolithic Optimization-based Liquid Solver for Contact-Aware Elast
 ic-Solid Coupling\n\nTakahashi, Batty\n\nSimultaneous coupling of diverse 
 physical systems poses significant computational challenges in terms of sp
 eed, quality, and stability. Rather than treating all components with a si
 ngle discretization methodology (e.g., smoothed particles, material point 
 method, Eulerian grid, etc.) that is ill-suited to some components, our so
 lver, ElastoMonolith, addresses three-way interactions among standard part
 icle-in-cell-based viscous and inviscid fluids, Lagrangian mesh-based defo
 rmable bodies, and rigid bodies. While prior methods often treat some term
 s explicitly or in a decoupled fashion for efficiency, often at the cost o
 f robustness or stability, we demonstrate the effectiveness of a strong co
 upling approach that expresses all of the relevant physics within one cons
 istent and unified optimization problem, including fluid pressure and visc
 osity, elasticity of the deformables, frictional solid-solid contact, and 
 solid-fluid interface conditions. We further develop a numerical solver to
  tackle this difficult optimization problem, incorporating projected Newto
 n, an active set method, and a transformation of the inner linear system m
 atrix to ensure symmetric positive definiteness. Our experimental evaluati
 ons show that our framework can achieve high quality coupling results that
  avoid artifacts such as volume loss, instability, sticky contacts, and sp
 urious interpenetrations.\n\nRegistration Category: FULL ACCESS, ON-DEMAND
  ACCESS\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON, ON-DEMAND
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_308&sess=sess17
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