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22 May 2024 Multi-objective structural optimization of ship lock heads using WOA algorithm
Jiawei Bai, Qi Ling, Bo Hu, Hui Shen, Yijia Dong
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Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 1317603 (2024) https://doi.org/10.1117/12.3029055
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China
Abstract
This paper aims to evaluate the economic and safety performance of a ship’s lock head under maintenance conditions. The geometric and mesh descriptions of the lock head are presented for finite element analysis. A multi-objective structural optimization model is established based on the ship lock head volume and maximum principal tensile stress. Thirty-four parameters are distinguished as design variables for optimization. There are three types of constraints considered in simulation calculations. The whale optimization algorithm is then used to deal with the structural optimization problem. Design variables are continuously updated in positions through the exploitation and exploration stages to obtain the optimal solution. By way of example, the optimal design’s volume is reduced by 7.3% compared with the initial design. In particular, the tensile strength of the concrete material is fully utilized.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Jiawei Bai, Qi Ling, Bo Hu, Hui Shen, and Yijia Dong "Multi-objective structural optimization of ship lock heads using WOA algorithm", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 1317603 (22 May 2024); https://doi.org/10.1117/12.3029055
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KEYWORDS
Design
Mathematical optimization
Safety
Finite element methods
Mathematical modeling
Engineering
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