ArticlePLoS computational biology2012
Mechanics of undulatory swimming in a frictional fluid.
Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 62 citations in OpenAlex.
- Simulation and Structural Analysis of a Flexible Coupling Bionic Desorption Mechanism Based on the Engineering Discrete Element Method.Biomimetics (Basel, Switzerland) · 2024Article
- Towards the optimization of passive undulatory locomotion on land: mathematical and physical models.Journal of the Royal Society, Interface · 2023Article
- Mechanics and optimization of undulatory locomotion in different environments, tuning geometry, stiffness, damping and frictional anisotropy.Journal of the Royal Society, Interface · 2023Article
- Maneuvering on non-Newtonian fluidic terrain: a survey of animal and bio-inspired robot locomotion techniques on soft yielding grounds.Frontiers in robotics and AI · 2023Review
- Swimming kinematics and performance of spinal transected lampreys with different levels of axon regeneration.The Journal of experimental biology · 2021Article
- Review
- Helically-driven granular mobility and gravity-variant scaling relations.RSC advances · 2019Article
- Cockroaches traverse crevices, crawl rapidly in confined spaces, and inspire a soft, legged robot.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- How body torque and Strouhal number change with swimming speed and developmental stage in larval zebrafish.Journal of the Royal Society, Interface · 2015Article
- Emergence of the advancing neuromechanical phase in a resistive force dominated medium.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- A forced damped oscillation framework for undulatory swimming provides new insights into how propulsion arises in active and passive swimming.PLoS computational biology · 2013Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.