Adaptive Nonlinear Finite Elements for Deformable Body Simulation Using Dynamic Progressive Meshes
By Xunlei Wu, M. Downes, Tolga G. Göktekin, Frank Tendick. Computer graphics forum (Print), 2001
330 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design
View Paper: https://www.semanticscholar.org/paper/3891b4939e32194e10eede8325b7d42778d5801b
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
- Markus H. Gross
- Matthias Müller
- Eitan Grinspun
- Petr Krysl
- Kun Zhou
- Peter Schröder
- Baining Guo
- Y. Yang
In Computer Graphics and Computer-Aided Design
- Markus H. Gross
- Matthias Müller
- Kun Zhou
- Peter Schröder
- Eitan Grinspun
- Baining Guo
- Petr Krysl
- Olga Sorkine-Hornung
Citations in the corpus
- Boundary-Aware Multidomain Subspace Deformation (2013, background): “Multiresolution [9] or adaptive simulation [10], [11] uses hierarchical or adaptive bases of the deformation to accelerate the computation.”
- CHARMS: a simple framework for adaptive simulation (2002, methodology): “Examples include the simulation of cloth [House and Breen 2000], water [Foster and Fedkiw 2001], human tissue [Wu et al. 2001] and engineering artifacts [Kagan and Fischer 2000], among many others.”
- Interactive Virtual Materials (2004, background): “Debunne [4] and Wu [24] use a hierarchy of volumetric meshes and Grinspun [9] and James [11] a hierarchy of basis functions which speed up the simulation but make changes in a mesh caused by fracture difficult to handle.”
- A Survey of Surgical Simulation: Applications, Technology, and Education (2003, methodology): “Wu, Downes, Goktekin, and Tendick (2001) described a nonlinear FE model that is more representative of actual tissue behavior, where stress and strain properties are nonlinear.”