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Discrete-element modelling: methods and applications in the environmental sciences.

Keith Richards1, Mike Bithell, Martin Dove

  • 1Department of Geography, University of Cambridge, Cambridge CB2 3EN, UK. ksr10@cam.ac.uk

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|August 13, 2004
PubMed
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Discrete-element modeling offers environmental scientists powerful tools for understanding complex systems. These methods reveal emergent properties from microscale interactions, aiding in material property definition and self-organization studies.

Area of Science:

  • Environmental Science
  • Computational Modeling

Background:

  • Discrete-element modeling (DEM) is increasingly relevant for environmental science.
  • Off-lattice DEM methods offer significant opportunities for analyzing dynamic processes.

Purpose of the Study:

  • To highlight opportunities in discrete-element modeling for environmental scientists.
  • To share experiences from advanced research communities using DEM.
  • To explore applications in diverse scientific fields.

Main Methods:

  • Focus on off-lattice discrete-element methods.
  • Discussion of technical aspects: contact models, particle tracking, collision detection.
  • Integration of experimental data and modeling choices.

Main Results:

Related Experiment Videos

  • DEM reveals emergent properties from microscale interactions.
  • Enables definition of constitutive material properties beyond current measurement scales.
  • Facilitates understanding of self-organizing behaviors.

Conclusions:

  • DEM and individual-based modeling are applicable across diverse fields.
  • Applications include mineralogy, geomaterials, sediment transport, ecology, and human sciences.
  • These methods help explore individual behavior's impact on group dynamics.