Dissertation > Excellent graduate degree dissertation topics show

Numerical Simulation and Control of Self-Propelled Swimming of Bionics Fish School

Author: WangLiang
Tutor: WuChuiJie
School: Hohai University
Course: Hydraulics and River Dynamics
Keywords: Adaptive multigrid Immersed boundary method Self-propelled swimming Fish school Swimming control
Type: PhD thesis
Year: 2007
Downloads: 471
Quote: 11
Read: Download Dissertation


In this thesis, numerical simulation and control of self-propelled swimming of 2D and 3D bionics fish and fish school in a viscous flow in a tank are investigated. The swimming rule and the profile of 3D fish from previous experimental measurements of living fish are used in the study. The main work and results are as follows:A parallel software package for the 2D and 3D moving boundary problem is obtained, which combines the adaptive multigrid finite volume method and the methods of immersed boundary and VOF (Volume of Fluid). The reliability of the algorithm and code is verified with the numerical results of flow around a 2D circular cylinder and a self-propelled airfoil with heave and pitch motion.A complete control method of fish motion is proposed for the first time, by investigating the parameters of self-propelled swimming of a 2D bionics fish. The locomotion speed is adjusted by the flapping frequency of the tail, and the direction of swimming is controled by the oscillating of the head of a fish. The results show that with this control method, a bionics fish can turn around and swim in a ring-shaped path. The radius of turnning is direct proportional to the maximum angle of attack of the head, and is inverse proportional with the length of body used to control the direction.The results show that the "channeling effect" of swimming of a fish school do exist. A fish in the school can utilize the favorable side vortices to enhance its propulsion effciency, in case of the fish is not fall behind too much. If the distance of falling behind is larger than the length of a fish, the effect of energy saving can be neglected. The optimal distance of falling behind is about half of the body length of a fish. In addition, the smaller the lateral distance between two fish, the stronger of the effect of energy saving. But at the sametime, the fish in the preceding column will consume extra energy, and the smaller the lateral distance, the larger the extra consumption of energy. When a fish takes advantage of oncoming vortices induced by the preceding fish, there will be about 15%~25% of energy saving, which is very close to the estimation of Magnuson, i.e., there will be 10%~20% energy saving from schooling. Therefore, small fish should follow bigger fish

Related Dissertations

  1. Improved Analysis and Applied Research of Artificial Glowworm Swarm Optimization Algorithm,TP18
  2. Research and Application about Distribution Network Optimization Planning,TM715
  3. Hybrid Swarm Intelligence Optimization Algorithms Based on Cultural Evolution and Their Applications,TP18
  4. Particle Swarm Optimization for Vehicle Routing Problem and Its Application,TP301.6
  5. Distribution System of Reactive Power Optimization Based on Improved Artificial Fish Algorithm,TM761
  6. Improved Ant Colony Algorithm and Its Application in the Continuous Space Optimization Problems,TP18
  7. The Analysis and Improvement of Artificial Fish-swarm Algorithm,TP301.6
  8. The Application and Research of Aptitude Optimizing Algorithm in Aptitude Logistics Platform,TP311.52
  9. The Studying of Solving Algebraic Equation (Groups) Based on Artificial Fish School Algorithm,O241.7
  10. Research on Bayesian Network and Its Application in Power Systems Fault Diagnosis,TP277
  11. A Novel Excitation Pattern and Image Reconstruction Algorithms for Electrical Impedance Tomography,TP391.41
  12. Artificial Fish Swarm Algorithm and Application in the Heat Power Engineering Process Control,TP273.5
  13. Research on Methods of Optimization and Comprehensive Judgement of Transmission Network,TM715
  14. The Research of Swarm Intelligence Optimization Algorithms for QoS Multiple-Multicast Routing Problem,TP18
  15. Application Research of Artificial Fish Swarm Algorithm of in Conbinatorial Optimization Problems,O224
  16. Array Gain and Phase Error Calibration in Direction Estimation,TN911.7
  17. Research on Swarm Intelligence Algorithm and Its Applications in Communication,TN91
  18. Community Intelligence Algorithm for Engineering Structure Optimization,TU311.41
  19. The Transformer Fault diagnosis technology research,TM407
  20. The Design of Binary Optical Elements for Laser Beam Shaping,TN24

CLC: > Industrial Technology > Hydraulic Engineering > The basic science of water resources project > Hydraulics
© 2012 www.DissertationTopic.Net  Mobile