The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Simulations of optimized anguilliform swimming
Abstract
SUMMARY: The hydrodynamics of anguilliform swimming motions was investigated using three-dimensional simulations of the fluid flow past a self-propelled body. The motion of the body is not specified a priori, but is instead obtained through an evolutionary algorithm used to optimize the swimming efficiency and the burst swimming speed. The results of the present simulations support the hypothesis that anguilliform swimmers modify their kinematics according to different objectives and provide a quantitative analysis of the swimming motion and the forces experienced by the body. The kinematics of burst swimming is characterized by the large amplitude of the tail undulations while the anterior part of the body remains straight. In contrast, during efficient swimming behavior significant lateral undulation occurs along the entire length of the body. In turn, during burst swimming,the majority of the thrust is generated at the tail, whereas in the efficient swimming mode, in addition to the tail, the middle of the body contributes significantly to the thrust. The burst swimming velocity is 42% higher and the propulsive efficiency is 15% lower than the respective values during efficient swimming. The wake, for both swimming modes, consists largely of a double row of vortex rings with an axis aligned with the swimming direction. The vortex rings are responsible for producing lateral jets of fluid, which has been documented in prior experimental studies. We note that the primary wake vortices are qualitatively similar in both swimming modes except that the wake vortex rings are stronger and relatively more elongated in the fast swimming mode. The present results provide quantitative information of three-dimensional fluid-body interactions that may complement related experimental studies. In addition they enable a detailed quantitative analysis, which may be difficult to obtain experimentally, of the different swimming modes linking the kinematics of the motion with the forces acting on the self-propelled body. Finally, the optimization procedure helps to identify, in a systematic fashion, links between swimming motion and biological function.
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Citations
Cites
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Evaluating the CMA Evolution Strategy on Multimodal Test Functions
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Self-citationFarhat, C., & Lesoinne, M. (2000) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/s0045-7825(99)00206-6 · Cited by 478
The hydrodynamics of eel swimming
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Hydrodynamics of Undulatory Propulsion
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Efficient collective swimming by harnessing vortices through deep reinforcement learning
Verma, S., Novati, G., & Koumoutsakos, P. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1800923115 · Cited by 10
Self-citationImmersed boundary methods for simulating fluid–structure interaction
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Synchronisation through learning for two self-propelled swimmers
Novati, G., Verma, S., Alexeev, D., Rossinelli, D., van Rees, W. M., & Koumoutsakos, P. (2017) · Bioinspiration & Biomimetics · doi:10.1088/1748-3190/aa6311 · Cited by 157
Self-citationMaterial Properties of Caenorhabditis elegans Swimming at Low Reynolds Number
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Quantification of the influence of drugs on zebrafish larvae swimming kinematics and energetics
Zhao, Z., Li, G., Xiao, Q., Jiang, H.-R., Tchivelekete, G. M., Shu, X., & Liu, H. (2020) · PeerJ · doi:10.7717/peerj.8374 · Cited by 12
Metadata
- Authors
- Kern, S., & Koumoutsakos, P.
- Venue
- Journal of Experimental Biology
- Publisher
- The Company of Biologists
- Published
- 2006-12-15
- Volume
- 209
- Issue
- 24
- Pages
- 4841-4857
- ISSN
- 0022-0949 (ISSN-L)
- 1477-9145
- OpenAlex
- W2165573482
- Cited by
- 420
- References
- 19
- FWCI
- 28.55
- Type
- journal article
- Language
- en
- Open access
- closed
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