三维编织细编穿刺炭/炭复合材料拉伸与压缩性能及试件尺寸效应研究

通过对三维编织细编穿刺炭/炭复合材料的Z向和XY向进行的拉伸、压缩宏观实验,观测了不同载荷形式下和不同几何尺寸的试件的破坏模式和断口形貌,得到了材料在拉伸、压缩载荷下不同的破坏机理及材料的力学性能与试件几何尺寸的相关性。研究表明,材料Z向拉伸破坏时为平断口,XY向拉伸破坏时为台阶状断口,压缩载荷作用下Z向和XY向都为与受力方向成45°的剪切型破坏,Z向和XY向的压缩强度随试件的几何尺寸的变化具有相同的变化趋势,但Z向变化趋势较XY向更明显。所获结论为进一步进行该材料的刚度和强度预报以及强度准则的建立奠定了必要的实验基础。     

纳米NdCoO3对小球粘接高燃速推进剂燃烧性能的影响

采用盐助溶液燃烧法制备了平均粒径为10 nm、分散性良好的钙钛矿型纳米NdCoO3。用DSC考察了不同质量分数的纳米NdCoO3对AP和双基粘接剂热分解的影响,研究了纳米NdCoO3对小球粘接高燃速推进剂燃烧的催化作用。结果表明,随纳米NdCoO3催化剂质量分数的增加,催化效率先增大后减小,在质量分数为3%时催化效率最佳,此时AP高温分解峰温大幅降低,双基粘接剂的分解峰温也得到降低,二者的表观分解热增大。同时,对应的小球粘接高燃速推进剂燃速较高,压强指数较低。     

某固体火箭发动机药柱上三维裂纹扩展的判定

采用三维更新Lagrangian格式固相控制方程和线性粘弹材料本构方程,应用非线性有限元法对某固体火箭发动机药柱星角上含有横向贯穿裂纹的药柱进行了三维应力、应变分析,采用三维J积分理论计算了裂纹缝线上各积分点上的J积分.J积分沿着裂纹缝线呈现中间高、两端低的分布趋势,缝线中间部位的J积分值最大,此处最易扩展;根据J积分判据,确定了药柱星角上含有横向贯穿裂纹的发动机安全工作时的最大裂纹深度.     

北斗三号系统PPP-B2b信号定位服务模型及性能分析

给出了PPP-B2b信号定位的观测模型和随机模型,详细阐述了PPP-B2b增强改正模型和参数估计模型,并进行了静态和动态定位实验。结果表明：对于单系统,在30min的收敛时间内,北斗三号定位精度可以达到水平0.118m(静态)、0.176m(动态),高程0.208m(静态)、0.423m(动态)以内,GPS定位精度可以达到水平0.113m(静态)、0.163m(动态),高程0.206m(静态)、0.377m(动态)以内;对于北斗三号/GPS双系统,在20min的收敛时间内,定位精度可以达到水平0.092m(静态)、0.122m(动态),高程0.158m(静态)、0.312m(动态)以内。无论是收敛性还是定位精度,均能满足北斗三号精密单点定位服务指标的要求。     

三维裂纹整体参数化模化方法

发展一种独立于几何结构基于参数设计的三维平片裂纹扩展有限元模拟通用方法.该方法通过包含整个裂纹面的镶嵌裂纹模型,具有裂纹体自动形成,模拟裂纹多自由度扩展的能力.通过多个典型的工程裂纹扩展模拟算例,说明该方法的精度、效率与通用性.      

以MgO为助剂β-Si3N4晶种的制备与表征

在自增韧陶瓷的致密化过程中,添加β-Si3N4品种有利于长柱状晶的形成与生长,可以改善陶瓷的强度和韧性;以MgO为添加剂,通过对原始Si3N4粉进行热处理,制备出转相充分、具有柱状形貌β-Si3N4晶种.重点研究了MgO对氮化硅相变和晶种形貌的影响.实验结果表明在MgO添加量在1.5wt%和2wt%时,在1750℃下热处理2小时能得到β相含量95%以上和具有大长径比的β-Si3N4晶种.     

某弹载计算机GJB1188A接口的设计与实现

栽机要求悬挂物必须实现GJB1188A中数据总线(GJB289A)的远程终端(RT)功能,同时实现GJB1188A中任务悬挂物投放允许等接口功能.描述了一种采用TMS320C6713B高速浮点DSP为核心的GJB1188A接口的实现方法,从硬件平台组成、控制逻辑实现、驱动软件结构三个方面来说明GJB289A(RT)功能的实现方法.介绍了任务悬挂物投放允许等接口的一种设计实现方法.从而将以往单一的GJB289A总线接口模块与嵌入式计算机结合在一起.满足了体积和成本上的要求.使嵌入式弹载计算机在GJB1188A接口的前提下实现与机载火控系统的通信、进行同步的数据采集与控制.     

Phase Equilibria in Nb-Si-Mo Ternary Alloys at 1 273 K and 2 073 K

Phase equilibrium in Nb-Si-Mo ternary alloys （〈37.5 at.% Si） at 1 273 K and 2 073 K is investigated by using X-ray diffraction （XRD） analysis, scanning electron microscopy （SEM） and energy dispersive spectroscopy （EDS）. The partial isothermal section at 1 273 K, which contains four single-phase regions, five two-phase regions and two three-phase regions, is basically the same as that at 1 973 K. However, when the temperature increases to 2 073 K, the three-phase region of Nbss＋ct-（Nb（Mo））sSi3＋13-（Nb,Mo）sSi3 obviously moves towards the Nb-rich comer. This suggests that Nb-Si-Mo ternary alloys remain stable at least up to 1 973 K.     

KM6气闸舱舱内环境控制技术

文章根据人-船-服试验对KM6气闸舱的要求,分析了舱内环境的几种积累效应,对气闸舱环境控制系统进行了设计,成功地解决了舱内环境控制中CO2置换、低压缺氧以及降压速率等问题,同时配备了气体成分实时监测设备,可以对舱内环境进行严格监测。     

Comparison of Landsat OLI,ASTER, and Sentinel 2A data in lithological mapping : A Case study of Rich area (Central High Atlas,Morocco)

The eastern part of the Rich area consists of the massive Paleozoic and Meso-Cenozoic cover formations that present the geodynamic development of the study area, where is characterized by various carbonate facies of Jurassic age. The geographical characteristic of the study area leaves the zone difficult to map by conventional methods. The objective of this work focuses on the mapping of the constituent lithological units of the study area using multispectral data of Landsat OLI, ASTER, and Sentinel 2A MSI. The processing of these data is based on a precise methodology that distinguishs and highlights the limits of the different lithological units that have an approximate similarity of spectral signature. Three techniques were used to enhance the image including Principal Component Analysis (PCA), Minimum Noise Fraction (MNF), and Independent Component Analysis (ICA). Lithological mapping was performed using two types of supervised classification : Maximum likelihood classifier (MLC) and Support Vector Machine (SVM).The results of processing data show the effectiveness of Sentinel 2A data in mapping of lithological units than the ASTER and Landsat OLI data. The classification evaluation of two methods of the Sentinel 2A MSI image showed that the SVM method give a better classification with an overall accuracy of 93,93% and a Kappa coefficient of 0.93, while the MLC method present an overall accuracy of 82,86% and a Kappa coefficient of 0.80. The results of mapping obtained show a good correlation with the geological map of the study area as well as the efficiency of remote sensing in identification of different lithological units in the Central High Atlas.