Year: 2025
Type: article
Abstract: When groups of inertial swimmers move together, hydrodynamic interactions play a key role in shaping their collective dynamics, including the cohesion of the group. To explore how hydrodynamic interactions influence group cohesion, we develop a three-dimensional, inviscid, far-field model of a swimmer, neglecting the vortical wake produced by swimmers in order to determine the role that potential flow interactions play on group dynamics. Focusing on symmetric triangular, diamond, and circular group arrangements, we investigate whether passive hydrodynamics alone can promote cohesive behavior, and what role symmetry of the group plays. Under the idealized conditions of our model, we find that far-field interactions alone significantly impact the cohesion of groups of swimmers. This is an important result because, contrary to common belief, it shows that interactions with a vortical wake do not solely determine the cohesion of groups of swimmers. While small symmetric (and even asymmetric) groups can be cohesive, larger groups typically are not, instead breaking apart into smaller, self-organized subgroups that are cohesive. Notably, we discover circular arrangements of swimmers that chase each other around a circle, resembling the milling behavior of natural fish schools; we call this hydrodynamic milling. Hydrodynamic milling is cohesive in the sense that it is a fixed point of a particular Poincaré map, but it is unstable, especially to asymmetric perturbations. Our findings suggest that while passive hydrodynamics alone cannot sustain large-scale cohesion indefinitely, controlling interactions between subgroups, or controlling the behavior of only the periphery of a large group, could potentially enable stable collective behavior with minimal active input.
Source: Bioinspiration & Biomimetics
Authors: Mohamed Niged Mabrouk, Daniel Floryan
Institution: University of Houston
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: University of Houston
Award: G7009271798
OpenAlex ID: W4414532656
