Computational Biomechanics and Biomimetics in Flying and Swimming: 2nd Edition

A special issue of Biomimetics (ISSN 2313-7673). This special issue belongs to the section "Bioinspired Sensorics, Information Processing and Control".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 934

Special Issue Editors


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Guest Editor
School of Science, Harbin Institute of Technology, Shenzhen 518055, China
Interests: solid mechanics; bionic mechanics; multiphysics coupling
School of Science, Harbin Institute of Technology, Shenzhen 518055, China
Interests: fluid mechanics; soft matter mechanics
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Guest Editor
Department of Mechanical Engineering, Shanghai Maritime University, Shanghai 201306, China
Interests: biomimetics; mechanical behavior of biological materials and structure

Special Issue Information

Dear Colleagues,

The advantages of flying and swimming over other forms of locomotion lead to the prosperity and diversity of insects, birds, and fishes all over the globe. For example, these biological flyers and swimmers can perform with extremely robust agility and maneuverability in various complex environments using flapping wings, fins, and tails. Their flying and swimming capabilities have been increasingly refined through a long period of natural selection, presenting an exciting venture in biomimetics.

Through emulating nature’s time-tested forms, functions, and strategies in flying and swimming animals, we expect to uncover their sophisticated underlying principles and mechanisms. This would enable further exploration of sustainable engineering alternatives to solve the practical problems in industry. Biomechanics and biomimetics are rapidly growing research areas of an interdisciplinary and high-integration nature, and computational approaches are considered as an essential and powerful tool to tackle multidisciplinary problems.

Therefore, this Special Issue aims to focus on computational models, numerical algorithms and methods, and computer software and frameworks in the biomechanics and biomimetics of biological flying and swimming, as well as their applications. Topics of interest include, but are not limited to, the following:

  • Computational fluid dynamics with geometrical and kinematical complexities of a body, wings, and fins;
  • Numerical algorithms and methods for coupled multiphysics such as wing–air and fin–water interactions;
  • Modeling for wings, fins, and joints, which consists of complex and multiscale structures, such as reduced-order modeling and multiscale modeling;
  • Complementary methodologies such as scaling laws;
  • Computer software and frameworks for coupled multiphysics and large-scale analyses;
  • Passivity of flexible structures;
  • Control and maneuverability in flying and swimming;
  • Simulation-based biomimetic design for flying and swimming biorobots.

Prof. Dr. Zheng Zhong
Dr. Pan Jia
Dr. Dan Hou
Guest Editors

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Keywords

  • computational biomechanics
  • computational biomimetics
  • biological flying
  • biological swimming

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Published Papers (1 paper)

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Research

10 pages, 2092 KiB  
Article
Swarming Insects May Have Finely Tuned Characteristic Reynolds Numbers
by Andy Reynolds
Biomimetics 2024, 9(11), 660; https://doi.org/10.3390/biomimetics9110660 - 30 Oct 2024
Viewed by 657
Abstract
Over the last few years, there has been much effort put into the development and validation of stochastic models of the trajectories of swarming insects. These models typically assume that the positions and velocities of swarming insects can be represented by continuous jointly [...] Read more.
Over the last few years, there has been much effort put into the development and validation of stochastic models of the trajectories of swarming insects. These models typically assume that the positions and velocities of swarming insects can be represented by continuous jointly Markovian processes. These models are first-order autoregressive processes. In more sophisticated models, second-order autoregressive processes, the positions, velocities, and accelerations of swarming insects are collectively Markovian. Although it is mathematically conceivable that this hierarchy of stochastic models could be extended to higher orders, here I show that such a procedure would not be well-based biologically because some terms in these models represent processes that have the potential to destabilize insect flight dynamics. This prediction is supported by an analysis of pre-existing data for laboratory swarms of the non-biting midge Chironomus riparius. I suggest that the Reynolds number is a finely tuned property of swarming, as swarms may disintegrate at both sufficiently low and sufficiently high Reynolds numbers. Full article
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