PAYLOAD VOLUME OPTIMIZATION FOR SUBMARINE CONCEPT DESIGN
Ewing, Paul L. Jr.
Miller, Gregory A.
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Advances in payloads such as weapons and unmanned and autonomous vehicles need to be integrated into the Submarine Fleet to help maintain U.S. naval dominance. This thesis uses common submarine design equations to develop a model estimating a first-order balanced submarine design focused on hosting a range of payload concepts. The model uses an Integer Linear Program to maximize payload weight and return the optimal length and diameter for the submarine. The model is built and run in Excel Solver with the use of macros to facilitate multiple run conditions. Through the use of optimization, the impacts of payload capacity on basic submarine characteristics of length and diameter are assessed. Over 5,000 configurations of payload loadouts, ship lengths, and diameters are assessed in this thesis. The model outputs allow for trend analysis on the impacts of different payloads on ship length and diameter, provide optimal payload hosting locations on the submarine, and return optimal lengths and diameters for supporting specific payload loadouts. The modeling capability can be used as a decision aid in setting the overall submarine characteristics during the early stages of design without sacrificing payload capacity or flexibility.
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