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Granular Element Method for Computational Particle Mechanics

Lim, Keng-Wit / Andrade, José E.

We present and review the Granular Element Method (GEM), which is a discrete mechanics simulation technique that uses Non-Uniform Rational Basis Splines (NURBS) for capturing particle morphology and inferring grain-scale kinematics and forces at computer-tomographic resolutions. The target application of GEM is in analyzing granular systems in advanced experiments utilizing visualization tools such as X-ray computer tomography experiments (XRCT). In this context, GEM may help in facilitating the transition from binary data from XRCT to discrete models, as well as lead to more realistic predictions at the grain scale.

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Granular Element Method for Computational Particle Mechanics

Lim, Keng-Wit / Andrade, José E.

We present and review the Granular Element Method (GEM), which is a discrete mechanics simulation technique that uses Non-Uniform Rational Basis Splines (NURBS) for capturing particle morphology and inferring grain-scale kinematics and forces at computer-tomographic resolutions. The target application of GEM is in analyzing granular systems in advanced experiments utilizing visualization tools such as X-ray computer tomography experiments (XRCT). In this context, GEM may help in facilitating the transition from binary data from XRCT to discrete models, as well as lead to more realistic predictions at the grain scale.

Granular Element Method for Computational Particle Mechanics

Lim, Keng-Wit / Andrade, José E.

We present and review the Granular Element Method (GEM), which is a discrete mechanics simulation technique that uses Non-Uniform Rational Basis Splines (NURBS) for capturing particle morphology and inferring grain-scale kinematics and forces at computer-tomographic resolutions. The target application of GEM is in analyzing granular systems in advanced experiments utilizing visualization tools such as X-ray computer tomography experiments (XRCT). In this context, GEM may help in facilitating the transition from binary data from XRCT to discrete models, as well as lead to more realistic predictions at the grain scale.

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Title:

Granular Element Method for Computational Particle Mechanics

Contributors:

Lim, Keng-Wit (author) / Andrade, José E. (author)

Conference:

ASCE International Workshop on Computing in Civil Engineering ; 2013 ; Los Angeles, California

Published in:

Computing in Civil Engineering (2013) ; 315-322

Publication date:

2013-06-24

ISBN:

DOI:

https://doi.org/10.1061/9780784413029.040

Type of media:

Conference paper

Type of material:

Electronic Resource

Language:

English

Keywords:

Intelligent structures , Information technology (IT) , Data processing , Computation , Sustainable development , Simulation , Predictions , Particles , Intelligent transportation systems

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