Preparation and characterization of HMX/NH2-GO composite with enhanced thermal safety and desensitization

To improve the safety of HMX, HMX/NH₂-GO composite was prepared with aqueous ammonia functionalized graphene oxide (NH₂-GO). The composite was characterized by SEM, Zeta potential, XPS, Raman spectrum, XRD, HPLC, DSC and BAM sensitivity test. The results indicated that the functionalization with aqueous ammonia can enhance the interaction between GO and HMX, and more efficiently desensitize the explosive. The optimal impact sensitivity of the HMX/NH₂-GO composite can be not less than 40 J, which is also the most insensitivity compared to the previous reports prepared by coating desensitization with non-energetic desensitized material. Moreover, the potential reason for the different impact and friction sensitivity was also discussed, which may bring a novel perspective to achieve the desensitization of energetic material.     

基于GO法的多阶段共因失效任务系统可靠性评估

为了解决部件阶段依赖性与共因失效给系统可靠性分析带来的复杂性,针对多阶段共因失效任务系统,结合GO法易于处理有时序、含共因失效系统可靠性分析的特点,首先,将前一阶段的输出信号作为后一阶段的输入信号,建模时首尾连接各阶段模型,建立整个任务系统的隐性GO模型;其次,在进行各信号流状态组合运算时,融入阶段代数处理部件的阶段依赖性;再次,用隐性共因失效分析,将共因失效对系统的影响在状态组合的定量分析中表达出来,得到所需系统可靠性指标;最后,与基于二元决策图的算法进行对比验证。结果表明:GO法可以简捷、准确地处理多阶段共因失效任务系统可靠性评估问题。     

基于GO法的军事供应链可靠性分析

军事供应链管理要获得高效率和效益,最基础的必须是有高可靠性作保证。结合GO法——一种系统可靠性分析方法和军事供应链自身的特点,阐明了将GO法应用于军事供应链可靠性分析中的可行性。通过构建军事供应链结构模型,运用GO法原理,分析出军事供应链系统中的信号流和操作符,将军事供应链系统结构图转化为GO图,通过GO运算,求出各信号流的等效故障率,进而求出军事供应链中各节点的等效可靠度,对供应链网络结构模型的可靠性问题进行定量分析,并通过实例对该方法的应用进行了具体说明。结果表明：GO法不仅能够计算出整个军事供应链的可靠性,还可以清楚地得到各环节的可靠性,从而可以追溯出影响军事供应链系统整体可靠性的瓶颈,为制定相关的可靠性管理措施提供科学依据。