Please use this identifier to cite or link to this item: https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/2466
Title: Real-time Simulation of Hybrid Wind-driven Ocean Wave Model for a Naval Tactical Training System
Authors: Weerasinghe, W.A.A.M.
Issue Date: 20-May-2014
Abstract: In computer graphics, there are several mechanisms to display the ocean waves on screen. Albeit there are many models to simulate oceanic behavior, yet there is no single scienti c mechanism for wind-driven deep ocean waves, with a satisfactory outcome. Moreover, there is no way to plug those wave models onto existing maritime training simulators. Thus, the oceans computed and rendered by those models have no bearing on the computed sway, surge, heave, yaw, pitch, or roll of the vessels. While exploring the prevalent methods, three main approaches have been identi ed to model the formation of an ocean water surface based on geometrical description models, spectral description models, and physically based models from Computational Fluid Dynamics (CFD). In the context of oceanography and computer graphics, there is a considerable body of literature on ocean water generating and rendering techniques. According to the literature, ocean water rendering techniques in computer graphics can be categorized into three major domains, viz. spatial domain, spectral domain and hybrid methods combining the two. This thesis analyses the above wave models, rendering techniques and proposes a new hybrid mathematical model of ocean waves to simulate wind-driven deep ocean waves which include marine dynamic models and their integration for the purpose of developing a simulator. Further, introduces a novel approach to develop a computer simulation program in which the physical models are implemented in order to achieve a realistic representation of a vessel in a virtual environment considering physical characteristics of the vessel. Finally, to complete the thesis each module of the simulation system makes subject to a validation process, viz. the analytic test and the visual tests.
URI: http://hdl.handle.net/123456789/2466
Appears in Collections:SCS Individual Project - Final Thesis (2013)

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