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期刊信息/Journal information
防务技术

中国兵工学会

朱荣桂

季刊

2214-9147

10-1165/TJ

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 TechnologyCSCDCSTPCDSCI
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。
正式出版
收录年代
    2025年10期Issue 10,2025

    Proportional effects of RDX/Al mixtures on dust explosion characteristics,flame behavior,and explosion mechanism

    Mengli Yin;Haoyang Guo;Erhai An;Kangjie Xie;Zijia Wang;Tengyue Song;Xiong Cao71-83

    Dynamic response characteristics of metal cylindrical shell driven by explosive charge with waveform regulator

    Weixin Bi;Weibing Li;Junbao Li;Heyang Xu;Wenbin Li84-99

    Crashworthiness design of concave polygonal CFRP tubes for eVTOL applications under multi-angle compression loading

    Jie Fu;Qiang Liu;Xiao Liu;Yanqin Zhang100-115

    Projectile impact and drop weight resistance of functionally graded fiber-reinforced magnetite aggregate concrete

    Abbas Abbaspour;Behnoud Ganjavi;Mahdi Nematzadeh1-23

    BCDH:Blockchain-based covert Diffie-Hellman key exchange scheme

    Qinghua Hu;Chunxiang Xu;Wanpeng Li24-31

    Accurate prediction of blast-induced ground vibration intensity using optimized machine learning models

    Lihua Chen;Yewuhalashet Fissha;Mahdi Hasanipanah;Refka Ghodhbani;Hesam Dehghani;Jitendra Khatti32-46

    Preparation of HMX-based energetic microspheres with efficient self-healing function by microchannel technology to enhance storage performance and interface bonding effect

    Wenqing Li;Mianji Qiu;Wangjian Cheng;Qian Yang;Xiaohong Yan;Yousheng Qiu;Chongwei An;Baoyun Ye47-59

    Investigating the effect of NiO and NiF2 on boron carbide combustion

    Siyi Zhang;Yue Jiang;Dunhui Xu;Jingxuan Li;Changlu Zhao;Lijun Yang60-70

    Synergistic enhancement of load-bearing and energy-absorbing performance in additively manufactured lattice structures through modifications to conventional unit cells

    Yi Ren;Yu Nie;Bowen Xue;Yucheng Zhao;Lulu Liu;Chao Lou;Yongxun Li;Wei Chen116-130

    High-precision quantitative analysis of 3-nitro-1,2,4-triazol-5-one(NTO)concentration based on ATR-FTIR spectroscopy and machine learning

    Zhe Zhang;Zhuowei Sun;Haoming Zou;Xijuan Lv;Ziyang Guo;Shuai Zhao;Qinghai Shu131-141