2023年1期
刊物介紹
《防務(wù)技術(shù)》(ISSN 1673-002X) 是由中國(guó)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(guó)和國(guó)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(zhēng)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(guó)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
- Experimental and numerical analysis on suitability of S-Glass-Carbon fiber reinforced polymer composites for submarine hull
- Damage response of conventionally reinforced two-way spanning concrete slab under eccentric impacting drop weight loading
- Analysis and design for the comprehensive ballistic and blast resistance of polyurea-coated steel plate
- Positive effects of PVP in MIC: Preparation and characterization of Al-Core heterojunction fibers
- Flight parameter calculation method of multi-projectiles using temporal and spatial information constraint
- Numerical simulation of drop weight impact sensitivity evaluation criteria for pressed PBXs
- Blast wave characteristics of multi-layer composite charge:Theoretical analysis,numerical simulation,and experimental validation
- Relationships between distribution characteristics of ceramic fragments and anti-penetration performance of ceramic composite bulletproof insert plates
- Dynamic mechanical characteristics of NdFeB in electromagnetic brake
- Sensitivity analysis of spacecraft in micrometeoroids and orbital debris environment based on panel method
- Quasi-static and low-velocity impact mechanical behaviors of entangled porous metallic wire material under different temperatures
- A small-spot deformation camouflage design algorithm based on background texture matching
- A review on the high energy oxidizer ammonium dinitramide:Its synthesis,thermal decomposition,hygroscopicity,and application in energetic materials
- Deep learning-based LPI radar signals analysis and identification using a Nyquist Folding Receiver architecture
- Task assignment in ground-to-air confrontation based on multiagent deep reinforcement learning