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Reliability-based design optimization of river-sea-going ship based on agent model technology
Abstract The common ship structural optimization design is a deterministic method without considering uncertain factors, whereas the Reliability-Based Design Optimization (RBDO) can compensate for this deficiency. The RBDO of ship structure is a multi-parameter, high-dimensional, and high-nonlinear optimization solver. There exists a difficulty in guaranteeing accuracy and efficiency due to massive computation. In this study, the high-precision agent model for the limit state of ship hold structure is established based on agent model technology, including BP neural network, Radial Basis Function neural network, and Support Vector Machine combined with SMOTE oversampling algorithm. Furthermore, the reliability computation program is developed using Monte Carlo Simulation Method. A river-sea-going ship is considered the research object. The definition of rules, structural direct calculation result, and reliability requirement within all life cycles are considered boundary conditions. The RBDO system is constructed by the simulated annealing algorithm to investigate the lightweight structure. The established system can improve the efficiency and accuracy of the RBDO, which is significant for the ship's structural optimization design.
Highlights According to the allowable stress requirements of each structure in a river-sea-going ship, 36 high-precision agent models of structural limit state are established. SMOTE oversampling algorithm is adopted to improve the precision of structural limit state agent model. In order to improve the generalization abilities of agent model, cross-validation is conducted to further optimize the model parameters. By constructing the optimization mathematical model and calculating the structural reliability, the reliability optimization for river-sea-going ship structures is carried out based on the agent models. Compared with the results of deterministic optimization, the reliability optimization can obtain the lightweight hull structure with high reliability.
Reliability-based design optimization of river-sea-going ship based on agent model technology
Abstract The common ship structural optimization design is a deterministic method without considering uncertain factors, whereas the Reliability-Based Design Optimization (RBDO) can compensate for this deficiency. The RBDO of ship structure is a multi-parameter, high-dimensional, and high-nonlinear optimization solver. There exists a difficulty in guaranteeing accuracy and efficiency due to massive computation. In this study, the high-precision agent model for the limit state of ship hold structure is established based on agent model technology, including BP neural network, Radial Basis Function neural network, and Support Vector Machine combined with SMOTE oversampling algorithm. Furthermore, the reliability computation program is developed using Monte Carlo Simulation Method. A river-sea-going ship is considered the research object. The definition of rules, structural direct calculation result, and reliability requirement within all life cycles are considered boundary conditions. The RBDO system is constructed by the simulated annealing algorithm to investigate the lightweight structure. The established system can improve the efficiency and accuracy of the RBDO, which is significant for the ship's structural optimization design.
Highlights According to the allowable stress requirements of each structure in a river-sea-going ship, 36 high-precision agent models of structural limit state are established. SMOTE oversampling algorithm is adopted to improve the precision of structural limit state agent model. In order to improve the generalization abilities of agent model, cross-validation is conducted to further optimize the model parameters. By constructing the optimization mathematical model and calculating the structural reliability, the reliability optimization for river-sea-going ship structures is carried out based on the agent models. Compared with the results of deterministic optimization, the reliability optimization can obtain the lightweight hull structure with high reliability.
Reliability-based design optimization of river-sea-going ship based on agent model technology
Kang, Yuhan (author) / Pei, Zhiyong (author) / Ao, Lei (author) / Wu, Weiguo (author)
Marine Structures ; 94
2023-12-06
Article (Journal)
Electronic Resource
English
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