防空导弹兵力规划模型

借助兵力交换的思想,从宏观层次上研究不同类型的防空导弹火力单元对空中目标的优化分配问题;分析在最优目标分配策略下区域防空中各类型防空导弹火力单元的火力分配问题,并建立了递阶优化的求解模型.该模型可为区域防空部署的决策与分析提供科学依据.     

Φ2mm丝材电弧喷涂工艺对涂层结合强度的影响

分析了喷砂预处理和电弧喷涂这两个过程的工艺参数对涂层的结合强度的影响。将分数维理论用于喷砂后的试样表面,研究了喷砂角度、分数维和结合强度的相互关系,找到了获得最高结合强度所用的喷砂角度;通过正交试验法,找到了能获得最佳涂层结合强度的Φ2mm丝材电弧喷涂工艺参数。     

三维编织圆管力学性能及火箭级间段模拟结构承载能力研究

对于三维四向（４Ｄ）和五向（５Ｄ）两种编织碳／环氧圆管构件及由其组成的火箭模拟级间段，测试其压缩和扭转力学性能及轴压承载能力。实验表明，５Ｄ材料的压缩性能比４Ｄ材料有较大幅度提高，剪切模量提高幅度不明显。用３—细胞模型和ＦＧＭ模型预测相应的力学性能和压缩强度，并与实验结果进行了比较。结果表明，３—细胞模型的结果与实验结果符合较好，ＦＧＭ模拟预测结果偏低。本文结果为编织结构的设计分析提供了依据。     

关于潜艇装备劳兰C导航仪技术问题的研究

本文提出了一种改善潜艇现有天线接收性能的方法,从而解决了在潜艇上安装使用劳兰C导航仪的关键技术问题。     

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.     

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。     

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。     

土质隧洞围岩稳定性分析与设计计算方法探讨

论述了以洞周位移量与围岩塑性区大小作为围岩稳定性经验判据的不足，依靠模型试验与力学计算，分析了隧洞破坏机理与形式。由此提出将基于有限元强度折减法求出的围岩安全系数作为稳定分析判据，这种判据有严格的力学依据，有统一的标准，而且不受其他因素的影响。研究了隧洞围岩安全系数（剪切安全系数、拉裂安全系数）与衬砌安全系数的算法以及隧洞设计计算方法。最后以黄土洞室为例，给出了土体隧洞设计计算新方法，并对土体隧洞今后的研究方向提出了几点展望。     

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.