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A fast GA-ANN model and application in multi-objective optimization of the sealing ring for the subsea pipeline connector with regard of the penetration load

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Abstract

In this paper, a finite element method is proposed to predict the contact pressure of the metal seal in the subsea pipeline connector with regard of the penetration load on the critical sealing surface. Further, a fast GA-ANN model is proposed on the basis of GA-ANN to optimize the sealing structure of the connector, which uses only 3–6 % of the calculation time compared to the traditional GA-ANN model. The fast GA-ANN is further coupled with NSGA-II in the multiple objective optimization of the sealing structure and the results are compared with that of the response surface methodology (RSM). In terms of the number of valid candidate points and the optimal candidate point, NSGA-II coupled fast GA-ANN model performs much better than RSM. The hydrostatic pressure tests were carried out with the optimal sealing structure by the fast GA-ANN and the results meet the design requirements very well.

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Acknowledgments

This work is supported by National Natural science Foundation of China (Grants No. 52001089); China postdoctoral Science Foundation (Grants No. 2020M670889), China.

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Authors and Affiliations

  1. College of Mechanical and Electrical Engineering, Harbin Engineering University, Habin, 15000, China

    Kefeng Jiao, Feihong Yun, Xiaoquan Hao, Gang Wang, Shaoming Yao, Peng Jia, Xiangyu Wang & Liquan Wang

  2. College of Intelligent Systems Science and Engineering, Harbin Engineering University, Habin, 15000, China

    Feihong Yun

Authors
  1. Kefeng Jiao
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  2. Feihong Yun
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  3. Xiaoquan Hao
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  4. Gang Wang
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  5. Shaoming Yao
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  6. Peng Jia
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  7. Xiangyu Wang
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  8. Liquan Wang
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Corresponding author

Correspondence to Feihong Yun.

Additional information

Kefeng Jiao is a doctoral student in the School of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin, China. His research interests include optimization for sealing structure of the subsea pipeline connector.

Feihong Yun is an Associate Professor in the School of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin, China. She received her Ph.D. degree in Harbin Engineering University. Her research interests include deep water connection technology and ocean engineering equipment technology.

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Jiao, K., Yun, F., Hao, X. et al. A fast GA-ANN model and application in multi-objective optimization of the sealing ring for the subsea pipeline connector with regard of the penetration load. J Mech Sci Technol 38, 309–322 (2024). https://doi.org/10.1007/s12206-023-1225-8

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  • DOI: https://doi.org/10.1007/s12206-023-1225-8

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