重塑军队作战力量体系的几点思考

作战力量体系是一个国家军事力量体系的核心组成部分。近些年通过深化国防和军队改革,我军军事力量体系宏观上发生了脱胎换骨的变化,接下来到了对作战力量体系进行重塑的攻坚阶段,本文结合当前作战力量体系发展的一些特点和建设存在的短板,提出了重塑我军作战力量体系的决策建议。      

Effect of energy content of the nitraminic plastic bonded explosives on their performance and sensitivity characteristics

Information about the forty nine nitraminic plastic bonded explosives (PBXs) and different nitramines were collected. Fillers of these PBXs are nitramines 1,3,5-trinitro-1,3,5-triazinane (RDX) and β-1,3,5,7-tetranitro-1,3,5-tetrazocane (β-HMX), cis-1,3,4,6-tetranitro-octahydroimidazo-[4,5-d]imidazole (bicyclo-HMX, BCHMX) and ε-2,4,6,8,10,12-hexanitro-2,4,6,8,10,12-hexaazaisowurtzitane (ε-HNIW, CL-20) which are bonded by polyfluoro-elastomers, polydimethyl-siloxane, poly-glycidyl azide, polyisobutylene, polystyrene-butadiene, poly-acrylonitrile-butadiene and hydroxyl-terminated polybutadiene in addition to a melt cast compositions based on 2,4,6-trinitrotoluene. For thirty two of these PBXs the relationships are specified and analyzed between heats of their combustion and relative explosive strengths; by means of these relationships it might be possible to estimate, which groupings in the macromolecule of binder could be liable to their primary fission in the PBXs initiation. Similarly, for forty two of these explosives, the relationships are described and analyzed between their enthalpies of formation and impact sensitivities; here is especially attention paid to PBXs filled by BCHMX. Specific rate constants from Vacuum Stability Test (VST) of four nitramines and twenty PBXs are introduced into relationships with their enthalpies of formation. Regarding to all the mentioned cases, increasing of energy content of the studied explosives leads to increase of the relative explosive strength or initiation reactivity, respectively. Exception with the opposite trend, the outputs of VST are for BCHMX, where in PBXs are matrices with the esteric plasticizers or the energetic poly-glycidyl azide. Admixture of RDX or HMX, respectively, into the BCHX PBXs gives ternary PBXs whose thermal stability, in the sense of applied VST, is higher comparing to the original binary explosives.     

深度神经网络指导下的无线覆盖预测算法

为保证新一代移动无线网络能够根据实时覆盖情况动态地调节小区天线参数,需要实现高效且准确的无线覆盖预测。传统的求解方法通过精确的场强预测判断天线参数的优劣,虽然精度很高但需要大量的计算资源,无法满足5G和后5G移动网络通过实时覆盖预测进行射频参数动态调整的实际需求。现采用基于深度神经网络的算法对给定天线参数的覆盖效果进行预测,以取代对目标区域的精确场强预测。数值结果表明:该方法能够在保持计算准确性的同时显著减少计算量,为5G动态网络规划提供基础性参考数据。     

公安武警边防部队非对称力量作战战法研究

在和平时期,各国武装警察的基本任务是打击各种违法犯罪活动。但是,各种反人类的违法犯罪活动是一种极少数人的行为,违法犯罪分子与武装警察的作战必然是一种非对称力量对抗的特殊作战。面对这种客观存在的非对称力量作战,公安武警边防部队要深入研究此条件下作战的基本战法。     

等直圆梁在正交载荷作用下的强度校核

研究等直圆梁在位于水平平面内的集中载荷与位于铅垂平面内的均布载荷共同作用下梁的强度校核问题 ,重点给出了强度校核中梁的最大弯矩的计算方法。     

活性粉末混凝土200(RPC200)的配制试验研究

进行了活性粉末混凝土(RPC)的配制试验,通过5批试件分别探讨砂灰比、石英粉、硅灰、水胶比和钢纤维等因素单值变化时对RPC流动度以及抗折强度、抗压强度的影响.研究表明:在常规制作工艺条件下,配制出抗压强度和抗折强度分别为145.6 MPa和26.68MPa的无纤维RPC;当钢纤维含量为6%时,RPC的抗压强度和抗折强度分别达到了201.3MPa和73.67 MPa.     

驱护舰编队对潜防御作战兵力运用

针对驱护舰武器装备的发展,结合现代海上对潜防御作战的新特点,对驱护舰编队在海上对潜防御作战中的兵力运用问题进行了探讨,提出了驱护舰编队对潜防御作战的指导思想、兵力运用原则和兵力攻击行动方式,并就确保编队的兵力行动提出了引导保障、安全保障应遵循的战术原则,对部队作战与训练具有一定的参考价值。     

日常交互中朋友关系强度度量方法

针对如何度量日常生活中人们之间的关系强度问题展开研究,提出一个从日常轨迹、语义位置以及语义标签三个层次度量朋友之间关系强度的层级模型FRSHV。采用动态时间规整模型通过计算朋友之间的空间距离来度量其日常轨迹之间的相似度,进而使用轨迹序列熵值对用户每天轨迹的相似度进行加权处理,将其作为朋友之间的关系强度;采用主题模型隐含狄利克雷分布分别计算朋友之间的基于语义位置和语义标签的行为模式的相似性,将其作为朋友之间的关系强度;采用集成学习的思想对三个层次的度量结果进行投票,以投票结果作为最终的朋友之间的关系强度。在公开数据集上对FRSHV模型的有效性进行实验验证,结果表明该模型能够有效地度量朋友之间的关系强度。     

Neural network modeling to evaluate the dynamic flow stress of high strength armor steels under high strain rate compression

An artificial neural network (ANN) constitutive model is developed for high strength armor steel tempered at 500 °C, 600 °C and 650 °C based on high strain rate data generated from split Hopkinson pressure bar (SHPB) experiments. A new neural network configuration consisting of both training and validation is effectively employed to predict flow stress. Tempering temperature, strain rate and strain are considered as inputs, whereas flow stress is taken as output of the neural network. A comparative study on Johnson–Cook (J–C) model and neural network model is performed. It was observed that the developed neural network model could predict flow stress under various strain rates and tempering temperatures. The experimental stress–strain data obtained from high strain rate compression tests using SHPB, over a range of tempering temperatures (500–650 °C), strains (0.05–0.2) and strain rates (1000–5500/s) are employed to formulate J–C model to predict the high strain rate deformation behavior of high strength armor steels. The J-C model and the back-propagation ANN model were developed to predict the high strain rate deformation behavior of high strength armor steel and their predictability is evaluated in terms of correlation coefficient (R) and average absolute relative error (AARE). R and AARE for the J–C model are found to be 0.7461 and 27.624%, respectively, while R and AARE for the ANN model are 0.9995 and 2.58%, respectively. It was observed that the predictions by ANN model are in consistence with the experimental data for all tempering temperatures.     

碳纤维强度的统计特性及对复合材料线芯力学性能的影响

测试了国产T300级碳纤维的单丝和复丝拉伸强度,并用Weibull分布来描述碳纤维单丝平均拉伸强度。采用拉挤工艺制备出国产碳纤维复合线芯,测试了国产碳纤维复合线芯的弯曲强度和短梁剪切强度性能。结果表明:国产T300级碳纤维单丝拉伸强度性能达到东丽T300碳纤维水平,且分散性更小;复丝强度略低。国产T300级碳纤维集束性较差,在拉挤抽纱过程中,容易夹纱和起毛。在纤维体积含量基本相同情况下,国产T300级碳纤维复合线芯力学性能与东丽T700碳纤维复合线芯力学性能相差不大。