Home Journals Articles Updates About
CN
image
收藏切换
Structural reliability analysis method based on synthetic minority over-sampling technique algorithm and Bayesian optimization neural network
收藏切换
PDF
Fu-lin GE, Zong-hui WU, Jian HE
Journal of Ship Mechanics | 2025, 29(5) : 767 - 775
Less
收藏切换
Journal of Ship Mechanics | 2025, 29(5): 767-775
• Structural Mechanics •
Structural reliability analysis method based on synthetic minority over-sampling technique algorithm and Bayesian optimization neural network
Full
Fu-lin GE, Zong-hui WU, Jian HE
Affiliations
  • School of Aerospace and Architectural Engineering, Harbin Engineering University, Harbin 150001, China
Published: 2025-05-20 doi: 10.3969/j.issn.1007-7294.2025.05.009
Outline
收藏切换

A structural reliability analysis method based on synthetic minority over-sampling technique (SMOTE) algorithm and Bayesian optimization (BO) neural network was proposed in this paper to improve the calculation accuracy and analysis efficiency of the impact resistance reliability of lubricating oil cooler. Firstly, the uniform design (UD) method and SMOTE algorithm were used to improve the utilization efficiency of the sample points. Secondly, the Bayesian optimization algorithm was used to optimize the hyperparameters, initial weights and initial biases of the BP neural network to improve the fitting accuracy and generalization ability of the model. Finally, the optimized surrogate model was combined with the Monte Carlo (MC) method to calculate the structural reliability. The results show that, compared with the traditional surrogate model method, the proposed method has the advantages of higher accuracy, shorter analysis time and lower calculation cost. The analysis method proposed in this paper has great applicability in the impact resistance reliability analysis of lubricating oil cooler. The analysis results provide technical guidance and theoretical support for the impact resistance design of lubricating oil cooler.

structural reliability  /  BP neural network  /  Bayesian optimization  /  SMOTE method  /  lubricating oil cooler
Fu-lin GE, Zong-hui WU, Jian HE. Structural reliability analysis method based on synthetic minority over-sampling technique algorithm and Bayesian optimization neural network[J]. Journal of Ship Mechanics, 2025 , 29 (5) : 767 -775 . DOI: 10.3969/j.issn.1007-7294.2025.05.009
Appendix
Less
Year 2025 volume 29 Issue 5
PDF
75
35
Cite this Article
BibTeX
Article Info
doi: 10.3969/j.issn.1007-7294.2025.05.009
  • Receive Date：2024-11-22
  • Online Date：2026-03-24
  • Published：2025-05-20
Article Data
Affiliations
History
  • Received：2024-11-22
Funding
Affiliations
    School of Aerospace and Architectural Engineering, Harbin Engineering University, Harbin 150001, China
References
Share
https://castjournals.cast.org.cn/joweb/cblx/EN/10.3969/j.issn.1007-7294.2025.05.009
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House