Identification of Lagrangian coherent structures around swimming jellyfish from experimental time-series data

• Main Author: Zhang, Zhonglin
• Format: Others
• Published: 2008
• Online Access: http://thesis.library.caltech.edu/6226/1/Thesis_part1.pdf; http://thesis.library.caltech.edu/6226/2/Thesis_part2.pdf; http://thesis.library.caltech.edu/6226/3/Thesis_part3.pdf; http://thesis.library.caltech.edu/6226/4/Thesis_part4.pdf; Zhang, Zhonglin (2008) Identification of Lagrangian coherent structures around swimming jellyfish from experimental time-series data. Senior thesis (Minor), California Institute of Technology. http://resolver.caltech.edu/CaltechTHESIS:01152011-143930896 <http://resolver.caltech.edu/CaltechTHESIS:01152011-143930896>

The unique body kinematics of jellyfish embodies the most intriguing form of biological propulsion, which makes jellyfish a promising resource for developing new locomotion systems. Instead of the conventional Eulerian method, we take an unprecedented Lagrangian approach by tracking individual fluid particles around a swimming jellyfish over a finite time interval. Specifically, we utilize the Lagrangian coherent structures (LCS) in the flow field to investigate the flow characteristics around a jellyfish. LCS are separatrices or invariant manifolds, which separate the flow field into distinct regions. To locate the LCS in the flow, we employ the concept of the finite-time Lyapunov Exponent (FTLE), which measures the rate at which particles diverge from each other, and LCS are identified as the high-value ridges in the FTLE field. This method is implemented and validated by analysis on two-dimensional vortex dipole flow, two-dimensional experimental time-series data, and Hill’s vortex sphere. This method is expected to extract LCS from three-dimensional experimental time-series data.