Versatile rigid-fluid coupling for incompressible SPH
By Nadir Akinci, Markus Ihmsen, Gizem Akinci, Barbara Solenthaler, Matthias Teschner. ACM Transactions on Graphics, 2012
341 citations recorded by the source corpus.
Subfields: Computational Mechanics
View Paper: https://www.semanticscholar.org/paper/55e7521c13c3e0ecc4de96ebb5547d35f641819c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Miles Macklin
- Nuttapong Chentanez
- Tae-Yong Kim
- Matthias Müller
- Pingchuan Ma
- Bo Ren
- Dinesh Manocha
- Zherong Pan
Citations in the corpus
- Unified particle physics for real-time applications (2014, methodology): “Akinci et al. [2012] use a per-particle correction, however we have not found this to be necessary, partly because we typically use regular particle samplings, and also because we do not rely on fluid pressure forces to resolve fluid-solid interactions.”
- A moving least squares material point method with displacement discontinuity and two-way rigid body coupling (2018, methodology): “Akinci et al. [2012] also sampled particles on rigid boundaries, but proposed a more versatile method that handles pressure and friction directly with hydrodynamic forces. Their approach works well for thin shell rigid bodies. Koschier et al. [2017] recently proposed density maps for SPH boundaries.”
- Fluid directed rigid body control using deep reinforcement learning (2018, methodology): “Two-way coupling methods have been developed for grid-based simulators [Batty et al. 2007; Robinson-Mosher et al. 2008] and particle-based simulators [Akinci et al. 2012; Becker et al. 2009].”