How swimming style and schooling affect the hydrodynamics of two accelerating wavy hydrofoils

Lin, Zhonglu; Bhalla, Amneet Pal Singh; Griffith, Boyce E.; Sheng, Zi; Li, Hongquan; Liang, Dongfang

doi:10.1016/j.oceaneng.2022.113314

Cited by 7 publications

(1 citation statement)

References 79 publications

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“…The Lagrangian and Eulerian variables are correlated by the Dirac delta function, which is smoothed during discretization. Here, we used the implementation developed by the group of Professor Boyce Griffith, IBAMR [62], which has long been used to solve problems such as blood flow in heart [83, 87], water entry/exit problems [88], fish’s swimming [89–91], insect’s flight [92, 93], flexible propulsors [94–96], self propulsion of pitching/heaving airfoil [96, 97], and fish schooling [97, 98]. This implementation is based on an adaptive mesh, which enables us to accurately simulate self propulsion and reach steady state in a large computational domain with a reasonable computational cost.…”

Section: Supplementary Materialsmentioning

confidence: 99%

Mapping Spatial Patterns to Energetic Benefits in Groups of Flow-coupled Swimmers

Heydari,

Hang,

Kanso

2024

Preprint

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The coordinated motion of animal groups through fluids is thought to reduce the cost of locomotion to individuals in the group. However, the connection between the spatial patterns observed in collectively moving animals and the energetic benefits at each position within the group remains unclear. To address this knowledge gap, we study the spontaneous emergence of cohesive formations in groups of fish, modeled as flapping foils, all heading in the same direction. We show in pairwise formations and with increasing group size that (1) in side-by-side arrangements, the reciprocal nature of flow coupling results in an equal distribution of energy requirements among all members, with reduction in cost of locomotion for swimmers flapping inphase but an increase in cost for swimmers flapping antiphase, and (2) in inline arrangements, flow coupling is non-reciprocal for all flapping phase, with energetic savings in favor of trailing swimmers, but only up to a finite number of swimmers, beyond which school cohesion and energetic benefits are lost at once. We explain these findings mechanistically and we provide efficient diagnostic tools for identifying locations in the wake of single (and multiple) swimmers that offer opportunities for hydrodynamic benefits to aspiring followers. Our results imply a connection between the resources generated by flow physics and social traits that influence greedy and cooperative group behavior.

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