1123 Numerical Study on Swimming of the Rigid-Elastic Hybrid Fish Model Using FSI Analysis

2010 ◽  
Vol 2010.85 (0) ◽  
pp. _11-23_
Author(s):  
Masashi TADA ◽  
Itsuro HONDA ◽  
Osamu KAWANAMI ◽  
Yosuke KAWASHIMA ◽  
Toshihiko ASAMI
Keyword(s):  
Numerical Study ◽  
Fish Model ◽  
Hybrid Fish

scholarly journals A numerical study of fish adaption behaviors in complex environments with a deep reinforcement learning and immersed boundary–lattice Boltzmann method

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yi Zhu ◽  
Fang-Bao Tian ◽  
John Young ◽  
James C. Liao ◽  
Joseph C. S. Lai
Keyword(s):  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Prey Capture ◽  
Numerical Study ◽  
Benchmark Problems ◽  
Immersed Boundary ◽  
Complex Environments ◽  
Fish Model ◽  
Point To Point ◽  
Boltzmann Method

AbstractFish adaption behaviors in complex environments are of great importance in improving the performance of underwater vehicles. This work presents a numerical study of the adaption behaviors of self-propelled fish in complex environments by developing a numerical framework of deep learning and immersed boundary–lattice Boltzmann method (IB–LBM). In this framework, the fish swimming in a viscous incompressible flow is simulated with an IB–LBM which is validated by conducting two benchmark problems including a uniform flow over a stationary cylinder and a self-propelled anguilliform swimming in a quiescent flow. Furthermore, a deep recurrent Q-network (DRQN) is incorporated with the IB–LBM to train the fish model to adapt its motion to optimally achieve a specific task, such as prey capture, rheotaxis and Kármán gaiting. Compared to existing learning models for fish, this work incorporates the fish position, velocity and acceleration into the state space in the DRQN; and it considers the amplitude and frequency action spaces as well as the historical effects. This framework makes use of the high computational efficiency of the IB–LBM which is of crucial importance for the effective coupling with learning algorithms. Applications of the proposed numerical framework in point-to-point swimming in quiescent flow and position holding both in a uniform stream and a Kármán vortex street demonstrate the strategies used to adapt to different situations.

Hybrid fish model (Pseudoplatystoma reticulatum♀  × Leiarius marmoratus♂ ) to study feeding behaviour: protein source self-selection and demand-feeding rhythms

2016 ◽  
Vol 48 (7) ◽  
pp. 3705-3718 ◽  
Author(s):  
Rodrigo Fortes-Silva ◽  
Leandro S Costa ◽  
Renan R Paulino ◽  
Edgar J D Rodrigues ◽  
Francisco J Sanchez-Vazquez ◽  
...  
Keyword(s):  
Feeding Behaviour ◽  
Protein Source ◽  
Fish Model ◽  
Self Selection ◽  
Hybrid Fish ◽  
Feeding Rhythms

scholarly journals Ultraviolet A does not induce melanomas in a Xiphophorus hybrid fish model

2010 ◽  
Vol 107 (20) ◽  
pp. 9329-9334 ◽  
Author(s):  
D. L. Mitchell ◽  
A. A. Fernandez ◽  
R. S. Nairn ◽  
R. Garcia ◽  
L. Paniker ◽  
...  
Keyword(s):  
Ultraviolet A ◽  
Fish Model ◽  
Hybrid Fish

1604 Numerical Study on Swimming Self-Propulsive Fish Model

2009 ◽  
Vol 2009 (0) ◽  
pp. 489-490
Author(s):  
Masashi TADA ◽  
Itsuro HONDA ◽  
Toshihiko ASAMI
Keyword(s):  
Numerical Study ◽  
Fish Model

Numerical study of the low-frequency atomic dynamics in a Lennard-Jones glass

1998 ◽  
Vol 77 (2) ◽  
pp. 473-484 ◽  
Author(s):  
M. Sampoli, P. Benassi, R. Dell'Anna,
Keyword(s):  
Numerical Study ◽  
Low Frequency ◽  
Lennard Jones
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