A Study for Fluid-Flexible Body-Thermal Interaction using Immersed Boundary Method

Abstract

Fluid-body interaction problems involving a moving structure in fluid are commonly found in nature such as swimming fish, flying birds, shaking leaves, cilia beating and vibrating whiskers. An in- depth understanding of the natural systems through fluid-body interaction contributes to the development of high-efficiency vehicles and the improvement of the structural stability of marine engineering structures. In order to derive accurate numerical results for the fluid-body interaction problem, an improved numerical method is required to predict the deformation of the body due to its flexibility. In the present thesis, an immersed boundary method (IBM) is proposed to simulate a flexible body deformed by hydrodynamic forces, and various phenomena found in the natural systems are analyzed numerically. In addition, a heat transfer system including wall-mounted flexible structure inspired by terrestrial and aquatic plants to enhance thermal efficiency is proposed using the deep reinforcement learning algorithm (DRL) for fluid-flexible body-thermal interaction. The results determined by the immersed boundary method of the present thesis can provide insights into the development of future underwater vehicle, conventional transport, energy harvesting system and heat transfer enhancement.