A Deep Learning-Based Solver for Underwater Explosion Shock Response Spectrum

Wang Shuang; Lv Feng; Ma Feng; Chen Si; Zhu Wei; Han Feng; Huang Qinyi

doi:10.11993/j.issn.2096-3920.2024-0144

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Wang Shuang, Lv Feng, Ma Feng, Chen Si, Zhu Wei, Han Feng, Huang Qinyi. A Deep Learning-Based Solver for Underwater Explosion Shock Response Spectrum[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2024-0144

Citation:

Wang Shuang, Lv Feng, Ma Feng, Chen Si, Zhu Wei, Han Feng, Huang Qinyi. A Deep Learning-Based Solver for Underwater Explosion Shock Response Spectrum[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2024-0144

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A Deep Learning-Based Solver for Underwater Explosion Shock Response Spectrum

doi: 10.11993/j.issn.2096-3920.2024-0144

1.
State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, China
2.
Unit32398S1, the Liberation Army of China, Beijing 100026, China

Received Date: 2024-10-13
Accepted Date: 2024-12-04
Rev Recd Date: 2024-11-22

Available Online: 2024-12-27

Abstract

Abstract

Due to the short-duration and complexity of shock responses, Shock Response Spectrum(SRS) is commonly used as a tool for analyzing these responses. To address the trade-off between calculation speed and accuracy inherent in traditional SRS solving methods, this paper proposes a deep learning-based fast solver for shock response spectra. An adaptive threshold selection mechanism tailored to the characteristics of shock response spectra is designed to improve the solver's accuracy. A comparison between the SRS obtained by the proposed solver and the results calculated using traditional methods demonstrates a high degree of consistency, validating the effectiveness of the solver. Additionally, L2 regularization is introduced in the solution process, effectively preventing overfitting and further enhancing the robustness of the solver.
- ship,
- underwater explosion,
- shock response spectrum,
- deep learning

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References(15)

References

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