Author(s): Rui Han, Li Zeng, Ruonan Li, Duan Chen
Linked Author(s): Rui Han
Keywords: : Swimming ability, forced swimming test, volitional swimming test, numerical simulation, kinematic equation
Abstract: This research presents a comprehensive method to investigate fish swimming behavior to hydrodynamic conditions through laboratory experiments and numerical simulations. Fish swimming behavior plays a significant role in its life history, but little work has been done to describe the fundamental rules quantitatively. In this research, fish behavior is studied from two different aspects, the experimental method and the simulation way. Myrocyprinus asianicus juvenile is selected as an experimental object, which is a national protected species in China. In the experiments, both traditional closed water forced swimming test and open volitional swimming test are conducted. According to the results, traditional experimental method owns its advantage of short duration, easily controlling, and a small number of tested fish is needed to get the meaningful data. However, compared with another experiments, the outcomes obtained from the previous way amplified fish swimming ability. Therefore, the waste of project construction would be inevitable so as the worse fish bypass effects. Finally, the relationship between fish swimming speed and its body length is refined into regression formulations. Based on the data from the lab experiments, an individual-based fish dynamic model is developed. The model is first calibrated and validated by the experimental data, and then, applied in simulating the fish performance in fish bypass, depicted the Myrocyprinus asianicus juvenile swimming trajectories and compared with the result gained from the experimental measurements. The result demonstrates numerical simulation could reproduce the fish behavior under micro-scale. In conclusion, this research could provide feasible experimental method and numerical simulation, and offer support to set the design velocity of fish bypass as well
Year: 2017