This thesis presents a preliminary analysis of the resistance and performance characteristics of an Unmanned Surface Vehicle (USV). The study focuses on evaluating hydrodynamic resistance components and estimating the overall performance under various operating conditions. Using both empirical methods and numerical simulations, the resistance of a selected USV hull form is analyzed to predict its behavior in calm water. Key performance indicators such as total resistance, effective power, and propulsion efficiency are calculated and compared across different speeds and hull configurations. The objective is to provide a foundational understanding of the vessel's performance, which can serve as a baseline for future design optimizations and mission planning. The study highlights the importance of resistance prediction in early-stage USV design and contributes to the growing body of knowledge in autonomous marine systems.
Preliminary resistance and performance analysis of an unmanned surface vehicle
BELVIGLIERI, CARLO
2024/2025
Abstract
This thesis presents a preliminary analysis of the resistance and performance characteristics of an Unmanned Surface Vehicle (USV). The study focuses on evaluating hydrodynamic resistance components and estimating the overall performance under various operating conditions. Using both empirical methods and numerical simulations, the resistance of a selected USV hull form is analyzed to predict its behavior in calm water. Key performance indicators such as total resistance, effective power, and propulsion efficiency are calculated and compared across different speeds and hull configurations. The objective is to provide a foundational understanding of the vessel's performance, which can serve as a baseline for future design optimizations and mission planning. The study highlights the importance of resistance prediction in early-stage USV design and contributes to the growing body of knowledge in autonomous marine systems.| File | Dimensione | Formato | |
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Belviglieri_Carlo.pdf
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3.18 MB | Adobe PDF |
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https://hdl.handle.net/20.500.12608/94633