Publication Detail

Fish swimming optimization and exploiting multi-body hydrodynamic interactions for underwater navigation

Audrey Maertens
161 pp.
MITSG 15-03

When walking, driving or riding a bicycle, we mostly rely on vision to avoid obstacles and evaluate optimal paths. Underwater, vision is usually limited, but flow structures resulting from the hydrodynamic interactions between inert and/or living bodies contain rich information, which fish can read through a dedicated sensory system, the lateral line. Fish can even extract energy from these flow features. Immersed Boundary Methods (IBMs) are particularly well suited to simulate flows resulting from several moving bodies. In this thesis, the difficulty of most existing IBMs to accurately handle Reynolds numbers higher than 103 is discussed, and a second order boundary treatment that significantly improves the accuracy at intermediate Reynolds number
(10^3 <

type: Full theses / dissertations

Parent Project

Project No.: 2011-R/RCM-30
Title: Energy Efficient AUV using a Lateral Line Sensor

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