2018
DOI: 10.1111/cgf.13523
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MPM simulation of interacting fluids and solids

Abstract: The material point method (MPM) has attracted increasing attention from the graphics community, as it combines the strengths of both particle‐ and grid‐based solvers. Like the smoothed particle hydrodynamics (SPH) scheme, MPM uses particles to discretize the simulation domain and represent the fundamental unknowns. This makes it insensitive to geometric and topological changes, and readily parallelizable on a GPU. Like grid‐based solvers, MPM uses a background mesh for calculating spatial derivatives, providin… Show more

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Cited by 22 publications
(11 citation statements)
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“…The Material-Point Method (MPM) [Jiang et al 2016;Sulsky et al 1995] combines Lagrangian and Eulerian representations to capture solid-fluid coupling [Fei et al 2018;Stomakhin et al 2014;Yan et al 2018] and mixture [Gao et al 2018;Tampubolon et al 2017]. Fang et al [2020] proposed a free-slip treatment, but did not consider separation.…”
Section: Related Workmentioning
confidence: 99%
“…The Material-Point Method (MPM) [Jiang et al 2016;Sulsky et al 1995] combines Lagrangian and Eulerian representations to capture solid-fluid coupling [Fei et al 2018;Stomakhin et al 2014;Yan et al 2018] and mixture [Gao et al 2018;Tampubolon et al 2017]. Fang et al [2020] proposed a free-slip treatment, but did not consider separation.…”
Section: Related Workmentioning
confidence: 99%
“…Two‐way coupled simulation methods that combine rigid body contact handling with fluid dynamics have been heavily investigated in many contexts including Lattice–Boltzmann fluids [TIR06], height‐field fluids [TMFSG07, CM10, SBC*11], Lagrangian vortex methods [VHLL14], MPM fluids [YLCH18, HFG*18], Eulerian fluids [CMT04, GSLF05, BBB07, EWC*10] and Lagrangian fluids [MST*04, BTT09, AIA*12, MMCK14, TL16, KB17, BKWK19, GPB*19]. For a detailed discussion on the collision handling used by the mentioned simulation methods, we refer to Gissler et al.…”
Section: Related Workmentioning
confidence: 99%
“…The aforementioned methods mainly cope with incompressible single-fluid simulation, and they do not work with multiple-fluid simulations that have multiple phases coexisting in a SPH particle. Recent particle-based multiplefluid models include the mixture-model multi-fluid SPH solvers [3], [4], phase-field based multi-fluid SPH solvers [1], [2] and multi-phase MPM solvers for miscible flow [21] and sand-water mixtures [22], [23]. Among those methods, the mixture model solvers can reproduce layered unmixing effect such as centrifugal separating, but are hardest to enforce incompressibility because neither mixture density is constant nor the velocity fields are divergence free.…”
Section: Related Workmentioning
confidence: 99%