 | | Mechanics of Solids
A Journal of Russian Academy of Sciences | | Founded
in January 1966
Issued 6 times a year
Print ISSN 0025-6544
Online ISSN 1934-7936 |
Archive of Issues
| Total articles in the database: | | 13088 |
| In Russian (Èçâ. ÐÀÍ. ÌÒÒ): | | 8125
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| In English (Mech. Solids): | | 4963 |
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| Yu Wang, Yuguang Cao, Hailun Zhang, Shiru Li, and Xingfeng Liu, "Study on the Strain Behavior of Square Dented Pipelines Based on Data-Driven Model," Mech. Solids. 60 (1), 641-658 (2025) |
| Year |
2025 |
Volume |
60 |
Number |
1 |
Pages |
641-658 |
| DOI |
10.1134/S0025654424606748 |
| Title |
Study on the Strain Behavior of Square Dented Pipelines Based on Data-Driven Model |
| Author(s) |
Yu Wang (College of Pipeline and Civil Engineering, China University of Petroleum (East China), Qingdao, 266580 China;Province Key Laboratory of Safety of Oil DIFFER and Gas Storage and Transportation, China University of Petroleum (East China), Qingdao, 266580 China)
Yuguang Cao (College of Pipeline and Civil Engineering, China University of Petroleum (East China), Qingdao, 266580 China;Province Key Laboratory of Safety of Oil DIFFER and Gas Storage and Transportation, China University of Petroleum (East China), Qingdao, 266580 China, cao_yuguang@qq.com)
Hailun Zhang (Pipeline Engineering Department, Sinopec Petroleum Engineering Corporation, Dongying, 257000 China)
Shiru Li (College of Pipeline and Civil Engineering, China University of Petroleum (East China), Qingdao, 266580 China; Province Key Laboratory of Safety of Oil DIFFER and Gas Storage and Transportation, China University of Petroleum (East China), Qingdao, 266580 China)
Xingfeng Liu (College of Pipeline and Civil Engineering, China University of Petroleum (East China), Qingdao, 266580 China;Province Key Laboratory of Safety of Oil DIFFER and Gas Storage and Transportation, China University of Petroleum (East China), Qingdao, 266580 China) |
| Abstract |
Square dents are common defects in oil and gas pipelines. In the safety assessment of pipelines containing dents, it is critical to accurately and rapidly predict the strain of dent-affected pipelines. Currently, there is limited research both domestically and internationally on strain prediction
models for square dented pipelines, and the related work on predicting the mechanical behavior of
dented pipelines remains relatively immature. Building on this foundation, this study proposes a
model based on a Backpropagation Neural Network (BPNN) to predict the maximum equivalent
plastic strain in the curved dented regions of pipelines. This study employed finite element software to
construct a static analysis model for square dented pipelines, and the reliability of the finite element
model was validated through relevant experiments. Based on the finite element model, the Pearson
correlation coefficient method was used to analyze the interdependencies between maximum equivalent plastic strain and various key parameters. The parameters were ranked according to their correlations to construct a comprehensive training dataset. Using the Backpropagation algorithm and opti-mizing the number of neurons in the BPNN, a strain prediction model was established utilizing the
constructed dataset. The model was used to predict the maximum equivalent plastic strain at the
curved dented regions of the pipeline, and its stability in predicting this strain was verified against
experimental data and a random dataset. The results show that the predictions exhibit minimal deviation from the experimental data and random dataset, indicating that the model can accurately predict
the strain behaviour of square dented pipelines. The predictive model established in this study provides
a significant reference value for the assessment of square dented pipelines in practical engineering applications. |
| Keywords |
Square dent, Strain predictive, Equivalent plastic strain, BP neural network, Safety evaluation |
| Received |
28 November 2024 | Revised |
15 January 2025 | Accepted |
21 January 2025 |
| Link to Fulltext |
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