Advances in the simulation and automated measurement of well-sorted granular material: 1. Simulation

Daniel Buscombe; David M. Rubin

doi:10.1029/2011jf001974

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Advances in the simulation and automated measurement of well-sorted granular material: 1. Simulation

Daniel Buscombe·David M. Rubin

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Abstract

1. In this, the first of a pair of papers which address the simulation and automated measurement of well-sorted natural granular material, a method is presented for simulation of two-phase (solid, void) assemblages of discrete non-cohesive particles. The purpose is to have a flexible, yet computationally and theoretically simple, suite of tools with well constrained and well known statistical properties, in order to simulate realistic granular material as a discrete element model with realistic size and shape distributions, for a variety of purposes. The stochastic modeling framework is based on three-dimensional tessellations with variable degrees of order in particle-packing arrangement. Examples of sediments with a variety of particle size distributions and spatial variability in grain size are presented. The relationship between particle shape and porosity conforms to published data. The immediate application is testing new algorithms for automated measurements of particle properties (mean and standard deviation of particle sizes, and apparent porosity) from images of natural sediment, as detailed in the second of this pair of papers. The model could also prove useful for simulating specific depositional structures found in natural sediments, the result of physical alterations to packing and grain fabric, using discrete particle flow models. While the principal focus here is on naturally occurring sediment and sedimentary rock, the methods presented might also be useful for simulations of similar granular or cellular material encountered in engineering, industrial and life sciences.

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Journal of Geophysical Research F: Earth Surface Article

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BibTeX RIS

Daniel Buscombe, David M. Rubin. 2012-04-03. Advances in the simulation and automated measurement of well-sorted granular material: 1. Simulation. https://doi.org/10.1029/2011jf001974

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