影响电流变效应的因素

根据国内外研究的现状 ,分析综述了影响电流变效应 (ER效应 )的因素     

自适应滤波在有源消声中的应用

从分析有源消声的难点出发 ,综述了自适应滤波算法在有源消声中的应用 ,给出了相应的实例 .对自适应滤波在有源消声中应用的未来发展趋势作了展望 .     

Experimental investigation on anti-penetration performance of polyurea-coated ASTM1045 steel plate subjected to projectile impact

In this study, the anti-penetration performance of polyurea/ASTM1405-steel composite plate subjected to high velocity projectile was analyzed. Two kinds of modified polyurea material (AMMT-053 and AMMT-055) were selected and a ballistic impact testing system including speed measuring target system and high-speed camera was designed. This experiment was conducted with a rifle and 5.8 mm projectile to explore the effects by the polyurea coating thickness, the polyurea coating position and the glass-fiber cloth on the anti-penetration performance of polyurea/ASTM1405-steel composite plate. The result showed that the effects of polyurea coating position were different between two types of polyurea, and that the effects of glass-fiber position were disparate between two types of polyurea as well. For AMMT-053 polyurea material, it was better to be on front face than on rear face; whereas for AMMT-055 pol-yurea, it was better to be on rear surface although the difference was very subtle. Additionally, formulas had been given to describe the relationship between the effectiveness of polyurea and the thickness of polyurea coating. In general, AMMT-055 had better anti-penetration performance than AMMT-053. Furthermore, five typical damage modes including self-healing, crack, local bulge, spallation and local fragmentation were defined and the failure mechanism was analyzed with the results of SHPB test. Additionally, the bonding strength played an important role in the anti-penetration performance of polyurea/steel composite plate.     

军队数字化油库研究

阐述了数字化油库的基本概念、结构体系、建设内容、建设阶段及数字化油库建设在后勤信息化建设中的地位和作用,重点论述三层结构体系的内容和相互关系,详细阐述了数字化油库建设的5个方面。提出的思想对军队油库信息化建设有一定的指导意义。     

洞库储罐壁局部失稳分析

因储罐使用时间过长,或者在使用管理中操作不当等原因,目前某些洞库储罐出现不同程度的失稳现象,甚至不能正常工作,严重干扰了油库的储存以及收发作业,出现设备闲置现象。根据拉姆公式对失稳现象进行分析探讨,剖析造成失稳的主要因素,针对某洞库罐壁失稳的实际情况,对油库的实际工作提出建议,对于加强储罐的管理工作有重要的参考价值。     

An exact branch‐and‐price algorithm for multitasking scheduling on unrelated parallel machines

We consider the multitasking scheduling problem on unrelated parallel machines to minimize the total weighted completion time. In this problem, each machine processes a set of jobs, while the processing of a selected job on a machine may be interrupted by other available jobs scheduled on the same machine but unfinished. To solve this problem, we propose an exact branch‐and‐price algorithm, where the master problem at each search node is solved by a novel column generation scheme, called in‐out column generation, to maintain the stability of the dual variables. We use a greedy heuristic to obtain a set of initial columns to start the in‐out column generation, and a hybrid strategy combining a genetic algorithm and an exact dynamic programming algorithm to solve the pricing subproblems approximately and exactly, respectively. Using randomly generated data, we conduct numerical studies to evaluate the performance of the proposed solution approach. We also examine the effects of multitasking on the scheduling outcomes, with which the decision maker can justify making investments to adopt or avoid multitasking.     

驱动控制对太阳帆板驱动系统动力学特性的影响

准确预示太阳帆板驱动系统动力学特性是开展扰振机理和振动控制研究的基础。本文推导了考虑驱动控制因素的太阳帆板驱动装置等效力学特性参数表达式,构建了太阳帆板驱动系统动力学特性等效分析模型,并在仿真和试验验证基础上,讨论了驱动速度和控制增益对驱动装置力学特性参数和驱动系统动力学特性的影响规律。结果表明:所构建的等效分析模型能够在不同驱动速度和控制增益情况下准确预示驱动系统动力学特性,分析结果与试验误差小于10%;驱动装置等效阻尼与驱动速度和控制增益无关,但等效刚度随控制增益减小和驱动速度增大而减弱。随着驱动速度提高,驱动控制逐渐成为影响驱动系统动力学特性的重要因素。     

火炮身管内膛损伤机理分析

身管是火炮的关键部件,也是最易损耗的部件之一。火炮在发射过程中,身管内高温、高压的气体对身管内膛造成严重的损害,使身管内膛出现裂纹、龟裂、膛线脱落,严重影响火炮的射击精度和身管寿命,甚至会产生炸膛,危害到发射人员的安全。所以急需对身管内膛损伤进行机理分析,以利于身管寿命的检测和维护。以身管损伤的一般规律为主线,从损伤的5种形式入手,详细地讨论了身管常见损伤形式的原因和影响因素,并对其进行了机理分析。研究结果表明,身管内膛损伤主要是由于高温高压的火药气体和弹丸的挤进摩擦导致的,常见的物理反应损伤为内膛裂纹、内膛挂铜和内膛烧蚀,常见的化学反应损伤为镀铬层脱落,而内膛磨损是在物理反应和化学反应耦合作用下产生的损伤。     

基于剪枝加权k-NN算法的雷达电磁行为识别

为了更好地实施电子干扰和欺骗,针对目标雷达电磁行为识别问题,提出了一种新的算法。首先,给出了雷达电磁行为的形式化表述,并在此基础上将各项属性参数进行预处理;然后,通过改进的k-最近邻分类算法(k-nearest-neighbor classifier,k-NN)对数据进行处理,从而对未知的雷达电磁行为进行识别。实验结果表明:改进的算法引入剪枝加权策略可加强其分类识别能力,在分类准确率和时间效率上较原算法有一定的改善,对于雷达电磁行为的识别是有效可行的。     

基于迭代退火算法优化的SVR在核动力装置故障诊断中的应用

针对船用核动力装置主蒸汽管道破口大小依照监测参数的变化很难有精确估计的问题,首先使用了支持向量回归(SVR)对破口大小进行了判断,将破口大小作为诊断模型的预测值;然后,使用迭代退火算法对支持向量机的训练参数进行了优化,并与未优化的模型进行了对照。对比结果表明:优化后的诊断模型精度高,泛化能力强。