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An implicit Material Point Method applied to granular flows

Author
Iaconeta, I.; Larese, A.; Rossi, R.; Oñate, E.
Type of activity
Presentation of work at congresses
Name of edition
First International Conference on The Material Point Method for Modelling Large Deformation and Soil–Water–Structure Interaction
Date of publication
2017
Presentation's date
2017-01
Book of congress proceedings
Procedia Engineering, volume 175: proceedings of the 1st International Conference on the Material Point Method (MPM 2017), 10–13 January 2017, Delft, The Netherlands
First page
226
Last page
232
Publisher
Elsevier
DOI
https://doi.org/10.1016/j.proeng.2017.01.017 Open in new window
Repository
http://hdl.handle.net/2117/102059 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S1877705817300176 Open in new window
Abstract
The main objective of this work lies in the development of a variational implicit Material Point Method (MPM), implemented in the open source Kratos Multiphysics framework. The ability of the MPM technique to solve large displacement and large deformation problems is widely recognised and its use ranges over many problems in industrial and civil engineering. In the current work the continuum based implicit MPM is applied to engineering applications, where granular material flow is involved. For ...
Citation
Iaconeta, I., Larese, A., Rossi, R., Oñate, E. An implicit Material Point Method applied to granular flows. A: International Conference on The Material Point Method for Modelling Large Deformation and Soil–Water–Structure Interaction. "Procedia Engineering, volume 175: proceedings of the 1st International Conference on the Material Point Method (MPM 2017), 10–13 January 2017, Delft, The Netherlands". Delft: Elsevier, 2017, p. 226-232.
Keywords
granular flows, implicit MPM, material point method, nonlinear finite element method
Group of research
(MC)2 - UPC Computational continuum mechanics
GMNE - Numerical Methods in Engineering Group
RMEE - Strength of Materials and Structural Engineering Research Group

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