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Introduction

Introduction Introduction

Editor in Chief: MAO Ming

Edited and Published by:

Editorial Board of Acta Armamentarii

ISSN:1000-1093

CN:11-2176/TJ

phone:010-68963060/68962718

 

Email:bgxb@cos.org.cn

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Volume 47 期 8,2026 2026年第47卷第8期

    LIU Shaoteng, ZHAO Tingting, TIAN Hao, LI Wenjie, LI Zhiqiang, FENG Yuntian

    Vol. 47, Issue 8, Pages: 250999(2026) DOI: 10.12382/bgxb.2025.0999
    摘要:The accurate prediction of the depth of scouring crater formed by water jet impingement on the seabed is of great significance for parameter optimization and equipment selection in submarine cable laying engineering. Although the conventional numerical simulation methods offer high computational accuracy, they suffer from high computational costs and long time-consuming. The graph neural networks (GNNs) excel at simulating the large-deformation physical processes but exhibit limited accuracy in handling the localized small-deformations. To address this, this paper proposes a GNN model integrated with a physics-aware large-deformation weighting mechanism (PAW-GNN model). By discretizing the seabed structure into a particle system, constructing a graph representation, and employing an autoregressive prediction strategy, the PAW-GNN model efficiently predicts the dynamic evolution of seabed scour depth under water jet impact. The PAW-GNN model is trained and validated on a dataset comprising 40 simulation cases covering various jet widths and velocities. The test results demonstrate that the prediction accuracy of PAW-GNN model is consistent with those of the conventional numerical simulation methods, and the mean absolute percentage error and the coefficient of determination reach satisfactory levels. Furthermore, it improves the computational efficiency by an order of magnitude compared to the conventional numerical simulation methods. The PAW-GNN model also exhibits robust generalization capability in both interpolation and extrapolation tests. The PAW-GNN model provides a reliable alternative for the rapid prediction of water jet-induced seabed scouring processes.  
    关键词:graph neural network;Physics-aware weighting;Seabed scouring;Water jet impingement;Smoothed Particle Hydrodynamics   
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    FU Yang'aoxiao, DING Mingsong, CHEN Jianqiang, YANG Ying, JIANG Tao, DONG Weizhong, XU Yong

    Vol. 47, Issue 8, Pages: 250351(2026) DOI: 10.12382/bgxb.2025.0351
    摘要:The influence of flight altitude on the electromagnetic scattering characteristics of flight vehicle during reentry process is studied. This paper establishes a three-dimensional unsteady chemical non-equilibrium flow numerical simulation method and a plasma-coated target numerical simulation method based on finite volume time domain (FVTD) method. The influence of flight altitude rise/descent on the electromagnetic scattering characteristics of typical flight vehicle is studied. The results show that, when the flight altitude changes rapidly, the plasma distribution in the flow field and the electromagnetic scattering of the plasma-coated target are obviously unsteady, and the influences of unsteady effect on the electron number density and the backward radar cross section (RCS) area can reach up to 46% and 30%, respectively. When the flight altitude descends, the flow field temperature is lower and the ionization reaction is weaker compared with the steady state result of same altitude, which leads to the decrease in the electron number density in flow field and the reduction in the RCS of plasma coated target, while the situation is just the opposite when the flight altitude rises. The influence of changes in flight altitude is more significant when there is altitude fluctuation in flight trajectory, and the backward RCS area of the target can differ by 50% when flight vehicle reaches the same flight altitude through the process of altitude rising/descending. In present condition, the influences of plasma sheath and flight altitude variation on RCS are quite significant when UHF band radar is used, and the influences are obviously weakened when L-band and S-band radars are used.  
    关键词:reentry vehicle;chemical nonequilibrium;plasma sheath;electromagnetic scattering;numerical simulation   
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    XU Yingliang, LIU Yan, SUN Hao, YAN Junbo, WANG Hongfu, LI Yue, HUANG Fenglei

    Vol. 47, Issue 8, Pages: 250979(2026) DOI: 10.12382/bgxb.2025.0979
    摘要:To address the lack of systematic quantitative prediction of local damage characteristics of reinforced concrete (RC) beams under close-in explosion, the Karagozian & Case concrete model is calibrated and validated. The tensile softening behavior and the influence of local characteristic length are modified, enabling the model to more accurately capture the damage evolution of concrete under blast loading. A finite element model of RC beams subjected to close-in explosion is established and validated against existing experimental results, demonstrating its effectiveness in reproducing the typical local failure modes as well as structural responses such as displacement and support reaction. Furthermore, the effects of charge aspect ratio, reinforcement ratio, and cross-sectional dimensions on the local damage patterns and characteristic dimensions of the reinforced concrete beams are systematically analyzed, revealing the governing mechanisms of these parameters on peeling-off length, spalling length, as well as crushing length and depth. On this basis, a predictive model for local damage characteristic dimensions is developed through the regression analysis of numerical results, and a correction factor is introduced to improve the prediction accuracy of spalling length. The findings indicate that the proposed model can accurately predict the local damage dimensions of RC beams subjected to close-in explosions, providing useful references for blast-resistant design and structural safety assessment.  
    关键词:close-in explosion;reinforced concrete beam;Karagozian & Case model;local damage dimension;prediction model   
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    MA Jingquan, LI Chuanjun, LIANG Xiao, WANG Zhuoyao

    Vol. 47, Issue 8, Pages: 250681(2026) DOI: 10.12382/bgxb.2025.0681
    摘要:The consistency issue of anti-ship platform aircraft clusters in attacking the radar radio frequency (RF) stealth targetsis studied. This paper proposes a cooperative guidance method that achieves temporal and spatial consistency while taking into account the dynamic constraints on line-of-sight (LOS) angle errors and reducing the communication frequency. The method is used to decouple the three-dimensional cooperative guidance problem and designs an adaptive time-coordination guidance law for the LOS direction based on a dynamic event-triggered algorithm. A fixed-time convergent disturbance observer is used to estimate the target disturbances, enhancing the robustness of the system while lowering the frequency of communication. For the LOS normal direction, the method integrates a prescribed performance sliding mode guidance law with a dynamic gain adjustment strategy. The rapid convergence of attack angle error within predefined bounds is achieved by constructing a novel sliding surface with fixed-time convergence properties and applying a performance function constraint strategy, thus strictly maintaining the dynamic performance of LOS angle errors throughout the attack. The stability of the control method is proved based on Lyapunov stability theory. Numerical simulations demonstrate that the proposed method ensures the accuracy of cooperative guidance while reducing the frequency of communication, and keeps the convergence dynamics of LOS angle error within the prescribed limits.  
    关键词:cooperative guidance law;prescribed performance;fixed-time convergence;dynamic event-triggering;sliding mode control   
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