Study of Fish Response Using Particle Image Velocimetry and High-Speed, High-Resolution Imaging | |
Deng, Zhiqun ; Richmond, Marshall C. ; Guensch, Gregory R. ; Mueller, Robert P. | |
Pacific Northwest National Laboratory (U.S.) | |
关键词: Hydraulic Turbines; Flow Visualization; Salmon; Fluid-Structure Interactions; 54 Environmental Sciences; | |
DOI : 10.2172/15020943 RP-ID : PNNL-14819 RP-ID : AC05-76RL01830 RP-ID : 15020943 |
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美国|英语 | |
来源: UNT Digital Library | |
【 摘 要 】
Existing literature of previous particle image velocimetry (PIV) studies of fish swimming has been reviewed. Historically, most of the studies focused on the performance evaluation of freely swimming fish. Technological advances over the last decade, especially the development of digital particle image velocimetry (DPIV) technique, make possible more accurate, quantitative descriptions of the flow patterns adjacent to the fish and in the wake behind the fins and tail, which are imperative to decode the mechanisms of drag reduction and propulsive efficiency. For flows generated by different organisms, the related scales and flow regimes vary significantly. For small Reynolds numbers, viscosity dominates; for very high Reynolds numbers, inertia dominates, and three-dimensional complexity occurs. The majority of previous investigations dealt with the lower end of Reynolds number range. The fish of our interest, such as rainbow trout and spring and fall chinook salmon, fall into the middle range, in which neither viscosity nor inertia is negligible, and three-dimensionality has yet to dominate. Feasibility tests have proven the applicability of PIV to flows around fish. These tests have shown unsteady vortex shedding in the wake, high vorticity region and high stress region, with the highest in the pectoral area. This evident supports the observations by Nietzel et al. (2000) and Deng et al. (2004) that the operculum are most vulnerable to damage from the turbulent shear flow, because they are easily pried open, and the large vorticity and shear stress can lift and tear off scales, rupture or dislodge eyes, and damage gills. In addition, the unsteady behavior of the vortex shedding in the wake implies that injury to fish by the instantaneous flow structures would likely be much higher than the injury level estimated using the average values of the dynamics parameters. Based on existing literature, our technological capability, and relevance and practicability to Department of Energy's Hydropower Program, we identified three major research areas of interest: free swimming, the boundary layer over fish, and kinematic response of fish. We propose that the highest priority is to characterize the kinematic response of fish to different turbulent environments such as high shear/turbulence and hydrodynamic disturbances created by solid structures such as deflector and turbine runner blade; the next priority is to map the boundary layer over swimming fish; the last is to document the behavior of freely swimming fish, focusing on fish of our interest. Grid turbulence and Karman vortex street will be employed to map the boundary layers over fish and investigate the effects of environmental disturbances on the swimming performance of fish, because they are well established and documented in engineering literature and are representative of fish's swimming environments. Extreme conditions characteristic of turbine environments, such as strong shear environment and collision, will be investigated. Through controlled laboratory studies, the fish injury mechanism from different sources will be evaluated in isolation. The major goals are to: gain first-hand knowledge of the biological effects under such extreme hydraulic environments in which fish could lack the capability to overcome the perturbations and be vulnerable to injury; Better understand field results by integrating the laboratory studies with the responses of sensor fish device; More importantly, provide well-defined validation cases and boundary conditions for geometry-based computational fluid-structure interaction modeling in order to simulate the complex hydraulic environments in advanced hydropower systems and their effects on fish, greatly enhancing the potential to use CFD as a bio-hydraulic design alternative.
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