边坡稳定性理论及其局限性

边坡分析理论经过近几十年的发展,基本形成了完善的体系。较为典型的有 极限平衡法,极限分析法,有限元法等。对各种分析方法做了简要的回顾与评述。基于极限 平衡原理发展的各种分析方法,大多需要做许多假设,同时对岩质边坡又不能很好地考虑其 断层节理特征。有限元强度折减法,是近年来发展起来的一种分析方法,与极限平衡法相比 不需要任何假设,可以求得任意形状边坡的临界滑移面及其对应的安全系数,同时可以反映 边坡失稳及塑性区的发展过程,为岩土体边坡分析开辟了新的途径。     

营房实力综合数据分析技术

在营房系统中,营房实力主要包括个人基本情况及住房情况、家属住房情况两大类的知识。营房住房标准分为:按标准住房、超标准住房、未达标准住房、无住房。结合营房实力数据的基本特点,充分利用了先进的数据仓库技术,在数据挖掘和商业智能服务等方面作了深入的探讨,通过营房实力知识对数据进行归类统计,提出了基于知识的统计系统,建立了营房住用多维数据模型和个人住房情况多维数据模型,实现了对营房住用情况和个人住房情况等营房数据的多维分析。     

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.     

材料电导率对混响室场性能影响的仿真研究

混响室作为一种经济有效的新型电磁兼容检测设备，近年来倍受人们的关注。在混响室的设计过程中，材料的选择是其中的关键环节之一。通过仿真计算，从电场强度大小和电场均匀性两个方面研究了四种不同电导率材料对混响室场性能的影响。数据结果表明，随着材料电导率的升高，混响室内电场强度的各分量最大值和电场强度平均值均明显提高，并且材料电导率的变化不改变室内电场的分布情况。从电场均匀性方面来看，四种不同电导率材料的混响室，其电场均匀性均满足标准IEC61000-4-21的要求。     

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。     

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。     

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。     

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.     

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。     

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.