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General scaling relations for locomotion in granular media

James Slonaker, D. Carrington Motley, Qiong Zhang, Stephen Townsend, Carmine Senatore, Karl Iagnemma, and Ken Kamrin*

  • Department of Mechanical Engineering, MIT, Cambridge, Massachusetts 02139, USA

  • *kkamrin@mit.edu

Phys. Rev. E 95, 052901 – Published 10 May, 2017

DOI: https://doi.org/10.1103/PhysRevE.95.052901

Abstract

Inspired by dynamic similarity in fluid systems, we have derived a general dimensionless form for locomotion in granular materials, which is validated in experiments and discrete element method (DEM) simulations. The form instructs how to scale size, mass, and driving parameters in order to relate dynamic behaviors of different locomotors in the same granular media. The scaling can be derived by assuming intrusion forces arise from resistive force theory or equivalently by assuming the granular material behaves as a continuum obeying a frictional yield criterion. The scalings are experimentally confirmed using pairs of wheels of various shapes and sizes under many driving conditions in a common sand bed. We discuss why the two models provide such a robust set of scaling laws even though they neglect a number of the complexities of granular rheology. Motivated by potential extraplanetary applications, the dimensionless form also implies a way to predict wheel performance in one ambient gravity based on tests in a different ambient gravity. We confirm this using DEM simulations, which show that scaling relations are satisfied over an array of driving modes even when gravity differs between scaled tests.

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Corrections

1 June, 2017

Erratum

Publisher's Note: General scaling relations for locomotion in granular media [Phys. Rev. E 95, 052901 (2017)]

James Slonaker, D. Carrington Motley, Qiong Zhang, Stephen Townsend, Carmine Senatore, Karl Iagnemma, and Ken Kamrin
Phys. Rev. E 95, 069902 (2017)

Synopsis

Sandy Scaling Law

Published 10 May, 2017

Theory, simulations, and experiments suggest that the performance of vehicle wheels of arbitrary shape rolling over sand can be predicted using scaled-down models.

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