Session: 06-11-06 Ocean Engineering Technology VI

Paper Number: 127253

127253 - Optimization of Ship’s Subdivision for Structural Performance via the Diffusion Algorithm Based on P System 

To decrease the reliance on design experience and existing ship data during the initial ship design phase while enhancing design efficiency and quality, this paper proposes an intelligent optimization approach for the main hull's compartmentalization.  Assuming that the ship's main scale, parameters, and superstructure remain unaltered, the mathematical model is created utilizing the longitudinal position and quantity of the primary transverse bulkheads as the design variables. Additionally, the model utilizes the minimum hydrostatic bending moment and the minimum hydrostatic bending moment envelope as objectives. These objectives are then subjected to the limitations of the ship's capacity, buoyancy, integrity stability, and broken compartment stability. To enhance the efficiency and accuracy of solving the problem of optimizing ship subdivision, the Diffusion Algorithm based on P-system(DAPS) is used for the optimisation. Given the multitude of constraints in the optimisation of a ship's subdivision scheme, the proposed solution introduces an integrated multi-method constrained optimisation technique. This approach enables the utilisation of various constraint processing methods during distinct search stages, enhancing computational efficacy. Using a typical ship as a case study, this paper analyses and compares the effects of optimising the hydrostatic bending moment and minimising the hydrostatic bending moment envelope. The resulting optimisation outcomes offer valuable guidance for the subsequent detailed design of the ship's general arrangement.

Presenting Author: 雷 宇 武汉理工大学

Presenting Author Biography: LEI YU received his B.S. degree in marine engineering from Wuhan University of Technology, Wuhan, China, in 2014.Currently, he is pursuing a master's degree at Wuhan University of Technology in Wuhan, China. His research interests include ship design and meta-heuristic optimization.

Authors:

Lei Yu Wuhan University of Technology
Hao Wang Wuhan University of Technology
Junting Luo Nanning Port and Channel Development Center
Shunhuai Chen Wuhan University of Technology