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Massachusetts Institute of Technology

Development of a reduced-order modeling technique for granular locomotion

Abstract

dc:description.abstract

The work is aimed towards the development and expansion of a reduced-order modeling technique called granular Resistive Force Theory(RFT) for modeling wheeled locomotion on granular beds. A combination of various modeling techniques, namely plasticity-based continuum modeling, discrete element method (DEM) modeling, along with RFT and collaborative experimentation are used for evaluation and expanding upon the capabilities of granular RFT. A dimensionless formulation corresponding to the onset of catastrophic rise in slipping of wheels during granular locomotion is proposed. This limit also corresponds to the limits of the existing form of RFT in modeling wheel-granular media interaction accurately. Along with granular locomotion, general problems of granular intrusion have also been studied extensively using continuum modeling to characterize the general force response of different granular media based on various system parameters.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Agarwal, Shashank(Scientist in mechanical engineering)Massachusetts Institute of Technology.
Advisor dc:contributor.advisor
  • Kenneth Kamrin.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/121854
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/121854

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Agarwal, Shashank(Scientist in mechanical engineering)Massachusetts Institute of Technology.. Development of a reduced-order modeling technique for granular locomotion. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121854