Intermittent versus continuous swimming: An optimization tale

Intermittent swimming, also termed burst-and-coast swimming, has been reported as a strategy for fish to enhance their energetical efficiency. Intermittent swimming involves additional control parameters, which complexifies its understanding by means of quantita-tive and parametrical analysis, in comparison with continuous swimming. In this study, we used a hybrid computational fluid dynamic (CFD) model to assess the swimming performance in intermittent swimming parametrically and quantitatively. A Navier-Stokes solver is applied to construct a database in the multidimensional space of the control parameters to connect the undulation kinematics to swimming performance. Based on the database, an indirect numerical approach named gait assembly is used to generate arbitrary burst-and-coast gaits to explore the parameter space. Our simulations directly measured the hydrodynamics and energetics under the unsteady added-mass effect during burst-and-coast swimming. The results suggest that the instantaneous power of burst is basically determined by undulatory kinematics. The results show that the energetical performance of burst-and-coast swimming can be better than that of continuous swimming, but also that an unoptimized burst-and-coast gait may become very energetically expensive. These results shed light on the mechanisms at play in intermittent swimming, enabling us to better understand fish behavior and to propose design guidelines for fishlike robots.

Automated summary

In this study, a hybrid computational fluid dynamics model was used to quantitatively assess the swimming performance of intermittent swimming. The results showed that intermittent swimming had better energetical efficiency than continuous swimming, but an unoptimized intermittent swimming gait could be very energetically expensive. These findings contribute to a better understanding of fish behavior and provide design guidelines for fishlike robots.