Adaptive Modal Decomposition Method for Underwater Explosion-Induced Shock Vibrations

LONG Yiyang; ZHU Wei; WEN Jun; JIA Xiyu; MA Feng

doi:10.11993/j.issn.2096-3920.2026-0004

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LONG Yiyang, ZHU Wei, WEN Jun, JIA Xiyu, MA Feng. Adaptive Modal Decomposition Method for Underwater Explosion-Induced Shock Vibrations[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2026-0004

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LONG Yiyang, ZHU Wei, WEN Jun, JIA Xiyu, MA Feng. Adaptive Modal Decomposition Method for Underwater Explosion-Induced Shock Vibrations[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2026-0004

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Adaptive Modal Decomposition Method for Underwater Explosion-Induced Shock Vibrations

doi: 10.11993/j.issn.2096-3920.2026-0004

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

Received Date: 2026-01-07
Accepted Date: 2026-03-04
Rev Recd Date: 2026-02-20

Available Online: 2026-07-21

Abstract

Abstract

Structural shock–vibration signals induced by underwater explosions exhibit strong non-stationarity and broadband superposition. Conventional modal decomposition methods are prone to mode mixing and energy leakage, making it difficult to achieve stable frequency-band separation. To address these issues, an adaptive modal decomposition method for underwater-explosion-induced shock vibration, termed adaptive modal decomposition (AMD), is proposed. The method is built on frequency-domain parametric modeling, where the response spectrum is represented by basis functions with local support and adjustable scale, and the dominant frequency components are adaptively extracted and reconstructed via the joint optimization of center frequency, bandwidth, and amplitude parameters together with pruning constraints. A numerical simulation of an underwater-explosion stiffened-plate structure is used as an example, and AMD is systematically compared with empirical mode decomposition(EMD), empirical mode decomposition(VMD) and empirical mode decomposition(EWT). The results indicate that AMD achieves near-lossless reconstruction, with a maximum inter-modal cross-correlation coefficient of approximately 17.7% and an average spectral overlap ratio of 2.7%, both significantly lower than those of the compared methods, demonstrating its effectiveness for shock-vibration signal analysis under underwater explosion.
- underwater explosion,
- shock vibration,
- adaptive modal decomposition,
- spectral overlap ratio

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References(26)

References

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