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DTSTAMP:20251218T030656Z
LOCATION:Meeting Room S221\, Level 2
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UID:siggraphasia_SIGGRAPH Asia 2025_sess149_papers_1103@linklings.com
SUMMARY:The Granule-In-Cell Method for Simulating Sand--Water Mixtures
DESCRIPTION:Yizao Tang (School of Electronics Engineering and Computer Sci
 ence, Peking University); Yuechen Zhu (Mathematical Institute, University 
 of Oxford); Xingyu Ni (The University of Hong Kong); and Baoquan Chen (Sta
 te Key Laboratory of General Artificial Intelligence, Peking University)\n
 \nThe simulation of sand--water mixtures requires capturing the stochastic
  behavior of individual sand particles within a uniform, continuous fluid 
 medium.\nHowever, most existing approaches, which only treat sand particle
 s as markers within fluid solvers, fail to account for both the forces act
 ing on individual sand particles and the collective feedback of the partic
 le assemblies on the fluid.\nThis prevents faithful reproduction of charac
 teristic phenomena including transport, deposition, and clogging.\nBuildin
 g upon kinetic ensemble averaging technique, we propose a physically consi
 stent coupling strategy and introduce a novel Granule-In-Cell (GIC) method
  for modeling such sand--water interactions.\nWe employ the Discrete Eleme
 nt Method (DEM) to capture fine-scale granule dynamics and the Particle-In
 -Cell (PIC) method for continuous spatial representation and density proje
 ction.\nTo bridge these two frameworks, we treat granules as macroscopic t
 ransport flow rather than solid boundaries within the fluid domain. This b
 idirectional coupling allows our model to incorporate a range of interphas
 e forces using different discretization schemes, resulting in more realist
 ic simulations that strictly adhere to the mass conservation law.\nExperim
 ental results demonstrate the effectiveness of our method in simulating co
 mplex sand--water interactions, uniquely capturing intricate physical phen
 omena and ensuring exact volume preservation compared to existing approach
 es.\n\nRegistration Category: Full Access, Full Access Supporter\n\nSessio
 n Chair: Bo Ren (TMCC, College of Computer Science, Nankai University)\n\n
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