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防务技术
防务技术

朱荣桂

季刊

2214-9147

bgxbywk@tom.com

010-68963060

100089

北京市海淀区车道沟10号(北京2431信箱)

防务技术/Journal Defence TechnologyCSCDCSTPCD北大核心EISCI
查看更多>>本刊以反映我国兵工战线科学技术的最新成果为主要特色,主要内容为兵器科学技术基础理论研究、试验技术与研究、工程制造技术与研究等。
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    Study on damage mechanism and damage distribution of the rear plate under impact of debris cloud

    Chenyang WuXiaowei ChenQiguang He
    151-167页
    查看更多>>摘要:The debris cloud generated by the hypervelocity impact(HVI)of orbiting space debris directly threatens the spacecraft.A full understanding of the damage mechanism of rear plate is useful for the optimal design of protective structures.In this study,the hypervelocity yaw impact of a cylindrical aluminum projectile on a double-layer aluminum plate is simulated by the FE-SPH adaptive method,and the damage process of the rear plate under the impact of the debris cloud is analyzed based on the debris cloud structure.The damage process can be divided into the main impact stage of the debris cloud and the structural response of the rear plate.The main impact stage lasts a short time and is the basis of the rear plate damage.In the stage of structure response,the continuous deformation and inertial motion of the rear plate dominate the perforation of the rear plate.We further analyze the damage mechanism and damage distribution characteristics of the rear plate in detail.Moreover,the connection between velocity space and position space of the debris cloud is established,which promotes the general analysis of the damage law of debris cloud.Based on the relationship,the features of typical damage areas are identified by the localized fine analysis.Both the cumulative effect and structural response cause the perforation of rear plate;in the non-perforated area,cratering by the impact of hazardous fragments is the main damage mode of the rear plate.

    Velocity equation for grenades while impacting on dry sand media

    Martin MackoXuan Son BuiKongsathit PhanthavongDuc Hung Pham...
    168-173页
    查看更多>>摘要:This paper deals with the collision of sphere shape grenades with sand media.The central issue of the article is the establishing of an empirical velocity equation of the grenade while impacting on sand that is used to solve motion equations of the mechanical mechanism inside the impact grenade fuze.The paper focuses on impact velocities that are lower than 5 m s-1.An experiment was conducted to study the velocity of the grenade while impacting on dry sand.A high-speed camera video was used to capture the grenade positions.The grenade velocity in the impact process was generated from these video data.Some types of fitting curves are used to regress the velocity equation of the grenade while interacting with the sand media and the best-fitting model is chosen.The result shows the regression curve has a high correlation with the experiment data for grenade velocities below 5 m s-1.The received regression equation is useful for analyzing the working ability of the inertial mechanism inside the impact grenade or analyzing and choosing the appropriate parameters of each part in the inertial mechanism to meet the required characteristics of the mechanism.

    The regulation of ferrocene-based catalysts on heat transfer in high-pressure combustion of ammonium perchlorate/hydroxyl-terminated polybutadiene/aluminum composite propellants

    Jinchao HanSongqi HuLinlin Liu
    174-186页
    查看更多>>摘要:The regulation of the burning rate pressure exponent for the ammonium perchlorate/hydroxyl-terminated polybutadiene/aluminum(AP/HTPB/Al)composite propellants under high pressures is a crucial step for its application in high-pressure solid rocket motors.In this work,the combustion char-acteristics of AP/HTPB/Al composite propellants containing ferrocene-based catalysts were investigated,including the burning rate,thermal behavior,the local heat transfer,and temperature profile in the range of 7-28 MPa.The results showed that the exponent breaks were still observed in the propellants after the addition of positive catalysts(Ce-Fc-MOF),the burning rate inhibitor((Ferrocenylmethyl)trimethy-lammonium bromide,FcBr)and the mixture of FcBr/catocene(GFP).However,the characteristic pressure has increased,and the exponent decreased from 1.14 to 0.66,0.55,and 0.48 when the addition of Ce-Fc-MOF,FcBr and FcBr/GFP in the propellants.In addition,the temperature in the first decomposition stage was increased by 7.50 ℃ and 11.40 ℃ for the AP/FcBr mixture and the AP/FcBr/GFP mixture,respectively,compared to the pure AP.On the other hand,the temperature in the second decomposition stage decreased by 48.30 ℃ and 81.70 ℃ for AP/FcBr and AP/FcBr/GFP mixtures,respectively.It was also found that FcBr might generate ammonia to cover the AP surface.In this case,a reaction between the methyl in FcBr and perchloric acid caused more ammonia to appear at the AP surface,resulting in the suppression of ammonia desorption.In addition,the coarse AP particles on the quenched surface were of a concave shape relative to the binder matrix under low and high pressures when the catalysts were added.In the process,the decline at the AP/HTPB interface was only exhibited in the propellant with the addition of Ce-Fc-MOF.The ratio of the gas-phase temperature gradient of the propellants containing catalysts was reduced significantly below and above the characteristic pressure,rather than 3.6 times of the difference in the blank propellant.Overall,the obtained results demonstrated that the pressure exponent could be effectively regulated and controlled by adjusting the propellant local heat and mass transfer under high and low pressures.

    Multi-UAV cooperative maneuver decision-making for pursuit-evasion using improved MADRL

    Delin LuoZihao FanZiyi YangYang Xu...
    187-197页
    查看更多>>摘要:Aiming at the problem of multi-UAV pursuit-evasion confrontation,a UAV cooperative maneuver method based on an improved multi-agent deep reinforcement learning(MADRL)is proposed.In this method,an improved CommNet network based on a communication mechanism is introduced into a deep rein-forcement learning algorithm to solve the multi-agent problem.A layer of gated recurrent unit(GRU)is added to the actor-network structure to remember historical environmental states.Subsequently,another GRU is designed as a communication channel in the CommNet core network layer to refine communication information between UAVs.Finally,the simulation results of the algorithm in two sets of scenarios are given,and the results show that the method has good effectiveness and applicability.

    Bending results of graphene origami reinforced doubly curved shell

    Nan YangYunhe ZouMohammad Arefi
    198-210页
    查看更多>>摘要:The present work investigates higher order stress,strain and deformation analyses of a shear deformable doubly curved shell manufactures by a Copper(Cu)core reinforced with graphene origami auxetic metamaterial subjected to mechanical and thermal loads.The effective material properties of the gra-phene origami auxetic reinforced Cu matrix are developed using micromechanical models cooperate both material properties of graphene and Cu in terms of temperature,volume fraction and folding de-gree.The principle of virtual work is used to derive governing equations with accounting thermal loading.The numerical results are analytically obtained using Navier's technique to investigate impact of significant parameters such as thermal loading,graphene amount,folding degree and directional coor-dinate on the stress,strain and deformation responses of the structure.The graphene origami materials may be used in aerospace vehicles and structures and defence technology because of their low weight and high stiffness.A verification study is presented for approving the formulation,solution methodology and numerical results.

    Command filtered integrated estimation guidance and control for strapdown missiles with circular field of view

    Wei WangJiaqi LiuShiyao LinBaokui Geng...
    211-221页
    查看更多>>摘要:In this paper,an integrated estimation guidance and control(IEGC)system is designed based on the command filtered backstepping approach for circular field-of-view(FOV)strapdown missiles.The three-dimensional integrated estimation guidance and control nonlinear model with limited actuator deflec-tion angle is established considering the seeker's FOV constraint.The boundary time-varying integral barrier Lyapunov function(IBLF)is employed in backstepping design to constrain the body line-of-sight(BLOS)in IEGC system to fit a circular FOV.Then,the nonlinear adaptive controller is designed to esti-mate the changing aerodynamic parameters.The generalized extended state observer(GESO)is designed to estimate the acceleration of the maneuvering targets and the unmatched time-varying disturbances for improving tracking accuracy.Furthermore,the command filters are used to solve the"differential expansion"problem during the backstepping design.The Lyapunov theory is used to prove the stability of the overall closed-loop IEGC system.Finally,the simulation results validate the integrated system's effectiveness,achieving high accuracy strikes against maneuvering targets.

    Transient responses of double-curved sandwich two-layer shells resting on Kerr's foundations with laminated three-phase polymer/GNP/fiber surface and auxetic honeycomb core subjected to the blast load

    Nguyen Thi Hai VanThi Hong Nguyen
    222-247页
    查看更多>>摘要:This work uses refined first-order shear theory to analyze the free vibration and transient responses of double-curved sandwich two-layer shells made of auxetic honeycomb core and laminated three-phase polymer/GNP/fiber surface subjected to the blast load.Each of the two layers that make up the double-curved shell structure is made up of an auxetic honeycomb core and two laminated sheets of three-phase polymer/GNP/fiber.The exterior is supported by a Kerr elastic foundation with three char-acteristics.The key innovation of the proposed theory is that the transverse shear stresses are zero at two free surfaces of each layer.In contrast to previous first-order shear deformation theories,no shear correction factor is required.Navier's exact solution was used to treat the double-curved shell problem with a single title boundary,while the finite element technique and an eight-node quadrilateral were used to address the other boundary requirements.To ensure the accuracy of these results,a thorough comparison technique is employed in conjunction with credible statements.The problem model's edge cases allow for this kind of analysis.The study's findings may be used in the post-construction evaluation of military and civil works structures for their ability to sustain explosive loads.In addition,this is also an important basis for the calculation and design of shell structures made of smart materials when sub-jected to shock waves or explosive loads.

    Acoustical properties of a 3D printed honeycomb structure filled with nanofillers:Experimental analysis and optimization for emerging applications

    Jeyanthi SubramanianVinoth kumar SelvarajRohan SinghIlangovan S...
    248-258页
    查看更多>>摘要:The novelty of this research lies in the successful fabrication of a 3D-printed honeycomb structure filled with nanofillers for acoustic properties,utilizing an impedance tube setup in accordance with ASTM standard E 1050-12.The Creality Ender-3,a 3D printer,was used for printing the honeycomb structures,and polylactic acid(PLA)material was employed for their construction.The organic,inorganic,and polymeric compounds within the composites were identified using fourier transformation infrared(FTIR)spectroscopy.The structure and homogeneity of the samples were examined using a field emission scanning electron microscope(FESEM).To determine the sound absorption coefficient of the 3D printed honeycomb structure,numerous samples were systematically developed using central composite design(CCD)and analysed using response surface methodology(RSM).The RSM mathematical model was established to predict the optimum values of each factor and noise reduction coefficient(NRC).The optimum values for an NRC of 0.377 were found to be 1.116 wt%carbon black,1.025 wt%aluminium powder,and 3.151 mm distance between parallel edges.Overall,the results demonstrate that a 3D-printed honeycomb structure filled with nanofillers is an excellent material that can be utilized in various fields,including defence and aviation,where lightweight and acoustic properties are of great importance.

    RepDNet:A re-parameterization despeckling network for autonomous underwater side-scan sonar imaging with prior-knowledge customized convolution

    Zhuoyi LiZhisen WangDeshan ChenTsz Leung Yip...
    259-274页
    查看更多>>摘要:Side-scan sonar(SSS)is now a prevalent instrument for large-scale seafloor topography measurements,deployable on an autonomous underwater vehicle(AUV)to execute fully automated underwater acoustic scanning imaging along a predetermined trajectory.However,SSS images often suffer from speckle noise caused by mutual interference between echoes,and limited AUV computational resources further hinder noise suppression.Existing approaches for SSS image processing and speckle noise reduction rely heavily on complex network structures and fail to combine the benefits of deep learning and domain knowledge.To address the problem,RepDNet,a novel and effective despeckling convolutional neural network is proposed.RepDNet introduces two re-parameterized blocks:the Pixel Smoothing Block(PSB)and Edge Enhancement Block(EEB),preserving edge information while attenuating speckle noise.During training,PSB and EEB manifest as double-layered multi-branch structures,integrating first-order and second-order derivatives and smoothing functions.During inference,the branches are re-parameterized into a 3 x 3 convolution,enabling efficient inference without sacrificing accuracy.RepDNet comprises three computational operations:3x3 convolution,element-wise summation and Rectified Linear Unit acti-vation.Evaluations on benchmark datasets,a real SSS dataset and Data collected at Lake Mulan aestablish RepDNet as a well-balanced network,meeting the AUV computational constraints in terms of perfor-mance and latency.

    Probabilistic modeling of multifunction radars with autoregressive kernel mixture network

    Hancong FengKaili. JiangZhixing ZhouYuxin Zhao...
    275-288页
    查看更多>>摘要:The task of modeling and analyzing intercepted multifunction radars(MFRs)pulse trains is vital for cognitive electronic reconnaissance.Existing methodologies predominantly rely on prior information or heavily constrained models,posing challenges for non-cooperative applications.This paper introduces a novel approach to model MFRs using a Bayesian network,where the conditional probability density function is approximated by an autoregressive kernel mixture network(ARKMN).Utilizing the estimated probability density function,a dynamic programming algorithm is proposed for denoising and detecting change points in the intercepted MFRs pulse trains.Simulation results affirm the proposed method's efficacy in modeling MFRs,outperforming the state-of-the-art in pulse train denoising and change point detection.