Delamination process in cross-ply UHMWPE laminates under ballistic penetration

Cross-ply unidirectional laminates made of ultra-high molecular weight polyethylene fibers are widely used as components of bullet-proof vests. To simulate the delamination process of the material under penetration, we constructed a numerical mechanical model, which was validated by tests using 7.62 × 39 mm rifle bullets penetrating laminates of different thicknesses. The results show that the delamination region is essentially diamond-shaped. The simulated delamination region is in good agreement with the experimental data. It is found that the delamination region increases with the compression modulus along the fiber direction. The delamination region increases when the shear strength between the fabric layers decreases;However, it is little influenced by the normal strength. The delamination region of the front face of the laminate is little influenced by the failure strain of the material and the initial velocity of the bullet. The delamination region of the back face increases with the failure strain and decreases with the initial velocity.     

Visual-attention gabor filter based online multi-armored target tracking

The multi-armored target tracking (MATT) plays a crucial role in coordinated tracking and strike. The occlusion and insertion among targets and target scale variation is the key problems in MATT. Most state-of-the-art multi-object tracking (MOT) works adopt the tracking-by-detection strategy, which rely on compute-intensive sliding window or anchoring scheme in detection module and neglect the target scale variation in tracking module. In this work, we proposed a more efficient and effective spatial-temporal attention scheme to track multi-armored target in the ground battlefield. By simulating the structure of the retina, a novel visual-attention Gabor filter branch is proposed to enhance detection. By introducing temporal information, some online learned target-specific Convolutional Neural Networks (CNNs) are adopted to address occlusion. More importantly, we built a MOT dataset for armored targets, called Armored Target Tracking dataset (ATTD), based on which several comparable experiments with state-of-the-art methods are conducted. Experimental results show that the proposed method achieves outstanding tracking performance and meets the actual application requirements.     

武器装备全寿命费用宏观控制的系统动力学模型

以武器装备作战能力差距为牵引,以全寿命周期阶段对作战能力的影响为主要依据,建立了基于系统动力学的武器装备全寿命费用控制分析模型,客观、合理地描述了全寿命周期各阶段之间的相互影响,并对武器装备全寿命费用宏观费用控制问题进行了仿真实验分析。     

提高植物学实验教学质量的探讨

对高校植物学实验教学存在问题的进行了探讨,提出改进传统实验教学的教学思路和教学模式,适应创新人才培养需要,提高实验教学质量。     

油料火灾爆炸模拟实验系统与测试技术

针对受限空间油料火灾爆炸发生、发展、控制、抑制实验的需要,研制了一系列模拟实验台架及关键参数测试系统。所研制的一系列模拟实验台架为各种工况的油料火灾爆炸模拟实验研究提供了完备的科研条件和支撑;研制的超动态数据采集与分析系统能对冲击波压力、瞬时温度、火焰识别、爆燃向爆轰演化(DDT)过程等进行连续捕捉、测试、分析;研制的基于紫外火焰探测、数字信号处理和网络化智能探测技术的油气爆炸火焰传播速度测试系统较传统的火焰传感器具有高灵敏度、零误报、探测距离远的特点。     

基于CAN总线的指挥车电源管理系统设计

指挥车上的用电设备多,对供电品质要求高,传统的电源管理系统已无法满足系统的要求。设计了一种以数字信号处理器(DSP)和单片机为控制核心,采用CAN总线进行通讯的电源管理系统。系统采用模块化的设计思想,实现了系统关键部件的可换性,拓展了电源系统的工作条件;采用各种可靠性设计方法有效地抑制电网波动,改善电磁环境,提高系统供电品质和可靠性,为指挥车辆电源管理系统设计提供了一种可行的方案。     

故障树近似计算中最优权因子的选取

在故障树近似计算时,探讨通过加权提高计算准确度的简便方法。根据底事件发生概率的不同,利用VisualC 语言进行蒙特卡罗仿真计算,得到了在近似计算故障树顶事件发生概率时,在不同底事件发生概率对应区间内的最优权因子。利用该方法得到的最优权因子可以提高故障树近似计算的准确度,尤其是在当底事件发生概率较大时,其效果更为明显,可较好地满足采用故障树对某些特殊设备进行顶事件发生概率计算时提高计算精度的需求。     

潜艇应用的C3I系统作战效能分析

为了定量分析C3I系统对潜艇作战的影响,运用了层次分析法(AHP)和模糊综合评判法对C3I系统在潜艇上应用的作战效能进行分析,结果表明,C3I系统能极大提高潜艇的作战能力,但在C3I系统的发挥重要作用的同时,指挥员的决策能力的高低是影响潜艇战斗力的关键因素。     

提高弹道导弹突防能力的技术途径

基于反导系统的射击过程建立了计算弹道导弹突防概率的数学模型;通过仿真计算分析,提出了提高弹道突防能力的技术。     

Fe~(3+)与S~(2-)反应的研究

Fe3+ 与S2 - 反应是一个典型的竞争反应 ,反应的生成物与反应条件有着非常密切的关系。通过理论研究和实验验证 ,确认在酸性介质中反应的生成物为Fe3+ 和单质S↓ ;在碱性介质中反应的生成物为黑色Fe2 S3↓。