Local particle refinement in terramechanical simulations
Markus Pogulis, Martin Servin

TL;DR
This paper introduces a local particle refinement technique in DEM simulations that significantly reduces computational costs while preserving key mechanical properties, enabling more efficient terramechanical modeling.
Contribution
It presents a novel local particle refinement method that balances accuracy and efficiency in DEM simulations of granular soils, with systematic validation and performance analysis.
Findings
Particle count reduced by up to 25 times
Simulation time decreased by up to 43 times
Normalized errors remained below 11%
Abstract
The discrete element method (DEM) is a powerful tool for simulating granular soils, but its high computational demand often results in extended simulation times. While the effect of particle size has been extensively studied, the potential benefits of spatially scaling particle sizes are less explored. We systematically investigate a local particle refinement method's impact on reducing computational effort while maintaining accuracy. We first conduct triaxial tests to verify that bulk mechanical properties are preserved under local particle refinement. Then, we perform pressure-sinkage and shear-displacement tests, comparing our method to control simulations with homogeneous particle size. We evaluate different DEM beds with varying aggressiveness in particle refinement. Our results show that this approach, depending on refinement aggressiveness, can significantly reduce particle…
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Taxonomy
TopicsLandslides and related hazards · Geotechnical and Geomechanical Engineering · Geotechnical Engineering and Soil Mechanics
