Prediction Method for Buckling of Deep-Water Explosion Cylindrical Shell Based on Random Forest

FU Gaojun; MA Feng; ZHU Wei; JIA Xiyu; WANG Shuang

doi:10.11993/j.issn.2096-3920.2024-0162

Volume 33 Issue 5

Oct 2025

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Article Navigation > Journal of Unmanned Undersea Systems > 2025 > 33(5): 865-874

FU Gaojun, MA Feng, ZHU Wei, JIA Xiyu, WANG Shuang. Prediction Method for Buckling of Deep-Water Explosion Cylindrical Shell Based on Random Forest[J]. Journal of Unmanned Undersea Systems, 2025, 33(5): 865-874. doi: 10.11993/j.issn.2096-3920.2024-0162

Citation:

FU Gaojun, MA Feng, ZHU Wei, JIA Xiyu, WANG Shuang. Prediction Method for Buckling of Deep-Water Explosion Cylindrical Shell Based on Random Forest[J]. Journal of Unmanned Undersea Systems, 2025, 33(5): 865-874. doi: 10.11993/j.issn.2096-3920.2024-0162

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Prediction Method for Buckling of Deep-Water Explosion Cylindrical Shell Based on Random Forest

doi: 10.11993/j.issn.2096-3920.2024-0162

State Key Laboratory of Explosion Science and Safety Protection, Beijing Institute of Technology, Beijing 100081, China

Received Date: 2024-12-10
Accepted Date: 2025-02-12
Rev Recd Date: 2025-01-18

Available Online: 2025-06-10

Abstract

Abstract

Under deep-water explosion conditions, pressure-resistant structures such as cylindrical shells will have a different failure mode from that in a shallow water environment, namely, instability buckling. In order to study the conditions for the occurrence of instability buckling of cylindrical shells under deep water explosion conditions and predict the buckling state, a numerical simulation model was first established to simulate and analyze the results of the buckling of cylindrical shells under the conditions of different charge amounts, blast distance, and water depths. Based on the simulation results, a random forest model was designed to predict the buckling state. The results show that under the loading conditions of axial explosion in a deep water environment, the prediction model constructed based on the random forest algorithm can effectively predict the unstable state of cylindrical shells under specific structural parameters. The prediction accuracy rates for the two structures reach 93.75% and 87.5%, respectively. The importance of the three characteristics, charge amount, blast distance, and static pressure strength, in influencing the structural state is evaluated. This can provide a reference for the study of the buckling conditions of cylindrical shells.
- deep-water explosion,
- buckling,
- random forest,
- cylindrical shell

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References(13)

References

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