A Multi-objective Optimization Method for Resistance Performance of an Icebreaker Bow Based on Fully Parameterized Modeling

Long Zhu , Yanzhuo Xue , Ruinan Guo , Yingfei Zan , Yang Lu , Yicheng Zhang

Journal of Marine Science and Application ›› : 1 -15.

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Journal of Marine Science and Application ›› : 1 -15. DOI: 10.1007/s11804-025-00629-0
Research Article

A Multi-objective Optimization Method for Resistance Performance of an Icebreaker Bow Based on Fully Parameterized Modeling

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Abstract

The form of an icebreaker bow is numerically optimized using a platform that relies on three methods ship geometry morphing under a fully parameterized modeling approach, a cyclic process of contact compression bending failure to calculate the icebreaking loads, and a differential evolution algorithm for optimization. The main objectives of this study are to optimize the total resistance and the average pressure in the ice zone. Surface sensitivity analysis based on an adjoint solver is used to identify the most significant regions of the hull. The hull in these regions is then formed using a cubic nonuniform rational B-spline technique. The differential evolution algorithm is employed to optimize the objectives associated with the hull form and determine the corresponding optimized variables. The optimal values are obtained by comparing the Pareto optimal designs. The optimization results show that the acquired hull form reduces the total resistance by 4.2% and decreases the average pressure in the ice zone by 0.6%. The main modifications introduced by the optimization process are to increase the buttock angle and the waterline angle.

Keywords

Icebreaker / Fully parameterized modeling / Optimization / Total resistance / Average pressure in the ice zone

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Long Zhu, Yanzhuo Xue, Ruinan Guo, Yingfei Zan, Yang Lu, Yicheng Zhang. A Multi-objective Optimization Method for Resistance Performance of an Icebreaker Bow Based on Fully Parameterized Modeling. Journal of Marine Science and Application 1-15 DOI:10.1007/s11804-025-00629-0

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Harbin Engineering University and Springer-Verlag GmbH Germany, part of Springer Nature

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