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http://dx.doi.org/10.7837/kosomes.2022.28.7.1231

A Study on the Optimization of Main Dimensions of a Ship by Design Search Techniques based on the AI  

Dong-Woo Park (School of Naval Architecture & Ocean Engineering, Tongmyong University)
Inseob Kim (Smart Safety Research Department, Korea Maritime Transportation Safety Authority)
Publication Information
Journal of the Korean Society of Marine Environment & Safety / v.28, no.7, 2022 , pp. 1231-1237 More about this Journal
Abstract
In the present study, the optimization of the main particulars of a ship using AI-based design search techniques was investigated. For the design search techniques, the SHERPA algorithm by HEEDS was applied, and CFD analysis using STAR-CCM+ was applied for the calculation of resistance performance. Main particulars were automatically transformed by modifying the main particulars of the ship at the stage of preprocessing using JAVA script and Python. Small catamaran was chosen for the present study, and the main dimensions of the length, breadth, draft of demi-hull, and distance between demi-hulls were considered as design variables. Total resistance was considered as an objective function, and the range of displaced volume considering the arrangement of the outfitting system was chosen as the constraint. As a result, the changes in the individual design variables were within ±5%, and the total resistance of the optimized hull form was decreased by 11% compared with that of the existing hull form. Throughout the present study, the resistance performance of small catamaran could be improved by the optimization of the main dimensions without direct modification of the hull shape. In addition, the application of optimization using design search techniques is expected for the improvement in the resistance performance of a ship.
Keywords
Design Search Techniques; Resistance Performance; Small Catamaran; Optimization; Computational Fluid Dynamics;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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