Abstract
Fish schools and bird flocks exhibit complex collective dynamics whose self-organization principles are largely unknown. The influence of hydrodynamics on such collectives has been relatively unexplored theoretically, in part due to the difficulty in modeling the temporally long-lived hydrodynamic interactions between many dynamic bodies. We address this through a novel discrete-time dynamical system (iterated map) that describes the hydrodynamic interactions between flapping swimmers arranged in one- and two-dimensional lattice formations. Our 1D results exhibit good agreement with previously published experimental data, in particular predicting the bistability of schooling states and new instabilities that can be probed in experimental settings. For 2D lattices, we determine the formations for which swimmers optimally benefit from hydrodynamic interactions. We thus obtain the following hierarchy: while a side-by-side single-row "phalanx" formation offers a small improvement over a solitary swimmer, 1D in-line and 2D rectangular lattice formations exhibit substantial improvements, with the 2D diamond lattice offering the largest hydrodynamic benefit. Generally, our self-consistent modeling framework may be broadly applicable to active systems in which the collective dynamics is primarily driven by a fluid-mediated memory.
Highlights
The complex collective dynamics of fish schools and bird flocks have long fascinated physicists, biologists, and mathematicians [1,2]
We present here a modeling framework for the longlived hydrodynamic interactions between swimmers, with a view to understanding how their collective dynamics might be mediated by flow-induced forces
We present a new model for the hydrodynamic interactions between swimmers in high-Reynolds number flows
Summary
The complex collective dynamics of fish schools and bird flocks have long fascinated physicists, biologists, and mathematicians [1,2]. Neither study examined the dependence of the speed on the streamwise distance between swimmers While these studies allowed for the complex flow structures around flapping bodies to be quantitatively studied, simulations of fish schools are computationally challenging because of the large Reynolds number of the associated flow and the number of interacting bodies, prohibiting a detailed parametric study of lattice formations. An example is the recent experimental work of Becker et al [66], who realized an in-line formation of swimmers using freely translating, periodically heaving wings in a cylindrical water tank They observed that the system exhibited a bistability of “schooling states” and spontaneously locked into either a slow mode or a fast mode, the latter of which exhibited a significant speed increase relative to an isolated swimmer.
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