Intruder in a two-dimensional granular system: Effects of dynamic and static basal friction on stick-slip and clogging dynamics

C. Manuel Carlevaro, Ryan Kozlowski, Luis A. Pugnaloni, Hu Zheng, Joshua E. S. Socolar, and Lou Kondic
Phys. Rev. E 101, 012909 – Published 31 January 2020
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Abstract

We present simulation results for an intruder pulled through a two-dimensional granular system by a spring using a model designed to mimic the experiments described by Kozlowski et al. [Phys. Rev. E 100, 032905 (2019)]. In that previous study the presence of basal friction between the grains and the base was observed to change the intruder dynamics from clogging to stick-slip. Here we first show that our simulation results are in excellent agreement with the experimental data for a variety of experimentally accessible friction coefficients governing interactions of particles with each other and with boundaries. We then use simulations to explore a broader range of parameter space, focusing on the friction between the particles and the base. We consider both static and dynamic basal friction coefficients, which are difficult to vary smoothly in experiments. The simulations show that dynamic friction strongly affects the stick-slip behavior when the coefficient is decreased below 0.1, while static friction plays only a marginal role.

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  • Received 15 October 2019

DOI:https://doi.org/10.1103/PhysRevE.101.012909

©2020 American Physical Society

Physics Subject Headings (PhySH)

Polymers & Soft MatterNonlinear Dynamics

Authors & Affiliations

C. Manuel Carlevaro1,*, Ryan Kozlowski2, Luis A. Pugnaloni3, Hu Zheng2,4, Joshua E. S. Socolar2, and Lou Kondic5

  • 1Instituto de Física de Líquidos y Sistemas Biológicos, CONICET, 59 789, 1900 La Plata, Argentina and Departamento de Ingeniería Mecánica, Universidad Tecnológica Nacional, Facultad Regional La Plata, La Plata, 1900, Argentina
  • 2Department of Physics, Duke University, Durham, North Carolina 27708, USA
  • 3Departamento de Física, Facultad Ciencias Exactas y Naturales, Universidad Nacional de La Pampa, CONICET, Uruguay 151, 6300 Santa Rosa (La Pampa), Argentina
  • 4Department of Geotechnical Engineering, College of Civil Engineering, Tongji University, Shanghai, 200092, China
  • 5Department of Mathematical Sciences and Center for Applied Mathematics and Statistics, New Jersey Institute of Technology, Newark, New Jersey 07102, USA

  • *Corresponding author: manuel@iflysib.unlp.edu.ar

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Vol. 101, Iss. 1 — January 2020

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