↓ Skip to main content

PLOS

Mechanics of Undulatory Swimming in a Frictional Fluid

Overview of attention for article published in PLoS Computational Biology, December 2012
Altmetric Badge

Mentioned by

twitter
2 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Readers on

mendeley
76 Mendeley
citeulike
2 CiteULike
Title
Mechanics of Undulatory Swimming in a Frictional Fluid
Published in
PLoS Computational Biology, December 2012
DOI 10.1371/journal.pcbi.1002810
Pubmed ID
Authors

Yang Ding, Sarah S. Sharpe, Andrew Masse, Daniel I. Goldman

Abstract

The sandfish lizard (Scincus scincus) swims within granular media (sand) using axial body undulations to propel itself without the use of limbs. In previous work we predicted average swimming speed by developing a numerical simulation that incorporated experimentally measured biological kinematics into a multibody sandfish model. The model was coupled to an experimentally validated soft sphere discrete element method simulation of the granular medium. In this paper, we use the simulation to study the detailed mechanics of undulatory swimming in a "granular frictional fluid" and compare the predictions to our previously developed resistive force theory (RFT) which models sand-swimming using empirically determined granular drag laws. The simulation reveals that the forward speed of the center of mass (CoM) oscillates about its average speed in antiphase with head drag. The coupling between overall body motion and body deformation results in a non-trivial pattern in the magnitude of lateral displacement of the segments along the body. The actuator torque and segment power are maximal near the center of the body and decrease to zero toward the head and the tail. Approximately 30% of the net swimming power is dissipated in head drag. The power consumption is proportional to the frequency in the biologically relevant range, which confirms that frictional forces dominate during sand-swimming by the sandfish. Comparison of the segmental forces measured in simulation with the force on a laterally oscillating rod reveals that a granular hysteresis effect causes the overestimation of the body thrust forces in the RFT. Our models provide detailed testable predictions for biological locomotion in a granular environment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 28%
Student > Master 11 14%
Student > Bachelor 8 11%
Student > Doctoral Student 7 9%
Researcher 6 8%
Other 11 14%
Unknown 12 16%
Readers by discipline Count As %
Engineering 25 33%
Agricultural and Biological Sciences 14 18%
Physics and Astronomy 8 11%
Sports and Recreations 5 7%
Computer Science 2 3%
Other 6 8%
Unknown 16 21%