Georgia Institute of Technology
Simulation and theoretical study of swimming and resistive forces within granular media
Abstract
dc:description.abstractUnderstanding animal locomotion requires modeling the interaction of the organism with its environment. Locomotion within granular media like sand, soil, and debris that display both solid and fluid-like behavior in response to stress is less studied than locomotion within fluids or on solid ground. To begin to reveal the secrets of movement in sand, I developed models to explain the subsurface locomotion of the sand-swimming sandfish lizard. I developed a resistive force theory (RFT) with empirical force laws to explain the swimming speed observed in animal experiments. By varying the amplitude of the undulation in the RFT, I found that the range of amplitude used by the animal predicted the optimal swimming speed. I developed a numerical model of the sandfish coupled to a discrete element method simulation of the granular medium to test assumptions in the RFT and to study more detailed mechanics of sand-swimming. Inspired by the shovel-shaped head of the sandfish lizard, I used the simulation to study lift forces in granular media: I found that when a submerged intruder moved at a constant speed within a granular medium it experienced a lift force whose sign and magnitude depended on the intruder shape. The principles learned from the models guided the development of a biologically inspired robot that swam within granular media with similar performance to the lizard.
Degree
thesis:*- Department dc:contributor.department
- Physics
- Grantor dc:publisher
- Georgia Institute of Technology
- Year dc:date.issued
- 2011
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Ding, Yang
- Advisor dc:contributor.advisor
-
- Goldman, Daniel I.
- Committee members dc:contributor.committeemember
-
- Cvitanovic, Predrag
- Hu, David
- Kim, Harold
- Wiesenfeld, Kurt
Subjects
dc:subject × 7Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1853/45880
- OAI identifier oai:identifier
- oai:repository.gatech.edu:1853/45880