2022年6期
刊物介紹
《防務(wù)技術(shù)》(ISSN 1673-002X) 是由中國兵工學(xué)會(huì)主辦的科技類綜合性學(xué)術(shù)期刊，創(chuàng)刊于2005年，原名《兵工學(xué)報(bào)》英文刊，2013年起正式更名為《防務(wù)技術(shù)》，現(xiàn)為季刊。本刊發(fā)表基礎(chǔ)理論、應(yīng)用科學(xué)和工程技術(shù)領(lǐng)域高水平原創(chuàng)性學(xué)術(shù)論文，包括理論研究、數(shù)值模擬和實(shí)驗(yàn)研究類文章。其宗旨是通過這個(gè)平臺(tái)，報(bào)道和反映中國和國際防務(wù)技術(shù)領(lǐng)域的最新學(xué)術(shù)研究成果，主辦單位力爭在廣大科技工作者的支持下，用較短的時(shí)間，將其打造成為國際知名刊物。本刊專業(yè)范圍包括：裝甲、彈道、信息、計(jì)算機(jī)、材料、航空航天、力學(xué)等與防務(wù)技術(shù)相關(guān)的各個(gè)領(lǐng)域。
Defence Technology
- Effect of porosity on active damping of geometrically nonlinear vibrations of a functionally graded magneto-electro-elastic plate
- Theoretical predict structure and property of the novel CL-20/2,4-DNI cocrystal by systematic search approach
- Manipulator-based autonomous inspections at road checkpoints:Application of faster YOLO for detecting large objects
- Penetration and internal blast behavior of reactive liner enhanced shaped charge against concrete space
- Failure investigation on high velocity impact deformation of boron carbide(B4C)reinforced fiber metal laminates of titanium/glass fiber reinforced polymer
- Compressive sampling and reconstruction in shift-invariant spaces associated with the fractional Gabor transform
- Experimental study on anti-penetration mechanism of bolted composite protective structure with limited span under impact of lowvelocity projectile
- A Multi-UCAV cooperative occupation method based on weapon engagement zones for beyond-visual-range air combat
- Design and motion analysis of reconfigurable wheel-legged mobile robot
- Calculating detonation performance of explosives by VLWR thermodynamics code introduced with universal VINET equation of state
- Ballistic impact response of resistance-spot-welded (RSW) doublelayered plates for Q&P980 steel
- Dense copper azide synthesized by in-situ reaction of assembled nanoporous copper microspheres and its initiation performance
- Effect of different geometrical non-uniformities on nonlinear vibration of porous functionally graded skew plates:A finite element study
- Ultra-lightweight CNN design based on neural architecture search and knowledge distillation:A novel method to build the automatic recognition model of space target ISAR images