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Fluids
Special Issues
Fluid–Structure Interaction in Biological, Bioinspired and Environmental Flows
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Fluid–Structure Interaction in Biological, Bioinspired and Environmental Flows

A special issue of Fluids (ISSN 2311-5521).

Deadline for manuscript submissions: closed (15 November 2022) | Viewed by 4573

Special Issue Editors

Prof. Dr. Xing Zhang

E-Mail Website
Guest Editor
The State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China
Interests: computational fluid dynamics; bio-inspired flow and fluid-structure interactions; turbulence simulation; parallel computing
Special Issues, Collections and Topics in MDPI journals
Dr. Hui Tang

E-Mail Website
Guest Editor
Faculty of Engineering, Hong Kong Polytechnic University, Hong Kong, China
Interests: active flow control; fluid–structure interaction; bio-inspired flow sensing and control; flow energy harvesting; computational fluid dynamics; experimental fluid dynamics
Special Issues, Collections and Topics in MDPI journals
Dr. Alistair Revell

E-Mail Website
Guest Editor
Department of Mechanical, Aerospace and Civil Engineering, The University of Manchester, Manchester M1 3BB, UK
Interests: turbulence modelling and simulation; hybrid RANS-LES; fluid structure interaction; lattice Boltzmann; aerodynamics; flow control; cardiovascular flow; virtual engineering; novel computing architectures

Special Issue Information

Dear Colleagues,

Fluid–structure interactions (FSI) are omnipresent in biological, bioinspired and environmental systems. Prominent examples include cardiovascular flow, biomimetic propulsion, bioinspired flow sensing and canopy flow. This is a vibrant research area in which newly developed experimental and simulation tools have provided us with the capability to tackle more challenging problems. We propose this Special Issue of Fluids to showcase recent scientific advances in the studies of FSI in biological, bioinspired and environmental flows. The topics of interest include but are not limited to: bioinspired propulsion, energy harvesting and flow sensing, interaction of turbulent flow with flexible structures, novel experimental, numerical and flow analysis tools applied to FSI systems, and application of machine learning for the controlling and optimization of FSI systems. 

Prof. Dr. Xing Zhang
Dr. Hui Tang
Dr. Alistair Revell
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fluids is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • bioinspired propulsion
  • bioinspired energy harvesting
  • bioinspired flow sensing
  • FSI simulation of canopy flows
  • modal and stability analysis of FSI systems
  • machine learning control and optimization of FSI systems

Published Papers (1 paper)

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Research

19 pages, 8608 KiB  
Article
Hydrodynamic Interaction of Two Self-Propelled Fish Swimming in a Tandem Arrangement
by Dewu Yang and Jie Wu
Fluids 2022, 7(6), 208; https://doi.org/10.3390/fluids7060208 - 17 Jun 2022
Cited by 6 | Viewed by 3728
Abstract
Collective locomotion in biological systems is ubiquitous and attracts much attention, and there are complex hydrodynamics involved. The hydrodynamic interaction for fish schooling is examined using two-dimensional numerical simulations of a pair of self-propelled swimming fish in this paper. The effects of different [...] Read more.
Collective locomotion in biological systems is ubiquitous and attracts much attention, and there are complex hydrodynamics involved. The hydrodynamic interaction for fish schooling is examined using two-dimensional numerical simulations of a pair of self-propelled swimming fish in this paper. The effects of different parameters on swimming speed gain and energy-saving efficiency are investigated by adjusting swimming parameters (initial separation distance d0, tail beat amplitude A, body wavelength λ, and period of oscillation T) at different phase difference δϕ between two fish. The hydrodynamic interaction performance of fish swimming in a tandem arrangement is analyzed with the help of the instantaneous vorticity contours, pressure contours, and mean work done. Using elementary hydrodynamic arguments, a unifying mechanistic principle, which characterizes the fish locomotion by deriving a scaling relation that links swimming speed u to body kinematics (A, T, and λ), arrangement of formation (d0), and fluid properties (kinematic viscosity ν), is revealed. It is shown that there are some certain scaling laws between similarity criterion number (Reynolds number (Re) and Strouhal number (St)) and energy-consuming coefficient (CE) under different parameters (Δ). In particular, a generality in the relationships of St–Re and CE–(Re ·Δ) can emerge despite significant disparities in locomotory performance. Full article
(This article belongs to the Special Issue Fluid–Structure Interaction in Biological, Bioinspired and Environmental Flows)
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