炸药材料特性对整体式MEFP成形的影响

为提高整体式多爆炸成形弹丸（MEFP）毁伤能力,采用LS-DYNA数值仿真软件对不同炸药材料下整体式MEFP成形过程进行了仿真研究,并对采用B炸药的战斗部进行了地面静爆验证试验,试验结果和仿真结果吻合较好.研究表明随着炸药材料密度、爆速和爆压的增加,中心弹丸速度和长径比都得到大幅提高,中心弹丸侵彻能力增强;周边弹丸外形则由球形逐渐向长杆形发展,弹丸气动性减弱.炸药材料参数与毁伤元成形参数间呈抛物线变化规律,故可根据具体目标选择合适的炸药材料,以提高对目标的毁伤概率.     

Experimental investigation and thermodynamic assessment of the yttriumhydrogen binary system

A coupled experimental investigation and thermodynamic study of the yttrium-hydrogen(Y-H) binary system were carried out to provide more comprehensive and quantitative insights into the key thermodynamic properties of this system. Y-H system in the full range of H/Y = 0–3.0 was investigated by accurate pressure composition isotherm(PCI) measurement to provide credible phase equilibria information and thermodynamic data.The phase boundaries obtained were in agreement with previous experimental data but with improved accuracy.With the guide of the crystal structures, all the solid phases were modelled using the three sublattice model. The Y-H phase diagram and thermodynamic parameters were calculated and assessed with the CALPHAD technique.The obtained results are in very good agreement with our experimental data and the published data reported in literature. The obtained thermodynamic database of Y-H system can be used to predict the hydrogenation behavior and decomposition temperatures of hydrides.     

LEARNING CAUSAL GRAPHS OF NONLINEAR STRUCTURAL VECTOR AUTOREGRESSIVE MODEL USING INFORMATION THEORY CRITERIA

Detection and clarification of cause-effect relationships among variables is an important problem in time series analysis. Traditional causality inference methods have a salient limitation that the model must be linear and with Gaussian noise. Although additive model regression can effectively infer the nonlinear causal relationships of additive nonlinear time series, it suffers from the limitation that contemporaneous causal relationships of variables must be linear and not always valid to test conditional independence relations. This paper provides a nonparametric method that employs both mutual information and conditional mutual information to identify causal structure of a class of nonlinear time series models, which extends the additive nonlinear times series to nonlinear structural vector autoregressive models. An algorithm is developed to learn the contemporaneous and the lagged causal relationships of variables. Simulations demonstrate the effectiveness of the nroosed method.     

多羟基苯乙烯树脂改性水性醇酸树脂的合成及性能

以多羟基苯乙烯树脂(PPSR)、季戊四醇(PE)、邻苯二甲酸酐(PA)、亚麻油酸(LA)和偏苯三酸酐(TMA)为原料制备水性醇酸树脂。通过红外、黏度、热重分析等手段对产物结构和热性能进行表征。结果表明:醇酸树脂的黏度、玻璃化转变温度(Tg)、热稳定性、耐水性和耐碱性随PPSR取代度的升高而增大。当PPSR取代度为100%时,所制备的醇酸树脂性能最好,表干时间0.67h,实干时间3h,硬度达2H,且具有较好的漆膜柔韧性。     

地方文献与州市本科高校图书馆的特色化建设

地方文献特色化建设内容可以分为物质文化形态的地方文献资源、行为文化形态的地方文献建设和观念文化形态的地方文献理论.地方文献特色化发展的基本思路就是以文化层次结构理论审视地方文献系统,以组织形象设计理论指导地方文献建设,以地方文献的形象展示为落脚点推进学科建设和特色发展;其主要措施就是全面加强图书馆的馆藏资源建设、行为规范建设、文献理论建设和组织形象建设.     

航班运行风险网络的传播与控制改进

为探究航班运行风险的产生、传播与控制过程, 首先统计华北区域航班运行数据共计76个风险节点。然后，采用偏秩相关系数构建风险网络, 再使用社团模块探测算法与三角最大滤波法验证网络适用性。并且, 提出一种适用于航班运行风险分析的SEIR(susceptible-infected-exposed-recovered)模型。根据动力学传播结果, 聚类定位网络传播中关键节点。最后, 采用前置预防与战术处置两类控制方案。计算结果表明，仅控制5个节点后, 感染峰值可降低18.44%, 峰值时间推后两个周期, 起降等重要操纵节点被感染次数平均下降11.74%。该方案在感染峰值、感染周期、重要节点感染3个方面的抑制效果均占优。以上结果证实, 所提方案可有效用于航班运行风险问题分析。     

基于两次异常检测的雷达HRRP杂波稳健目标识别方法

对地目标识别中,目标回波中将不可避免的含有大量杂波,严重影响识别性能。针对该问题,提出了杂波稳健识别方法,该方法首先采用基于球形假设聚类的异常检测方法,完成小簇杂波的抑制;然后利用参数非依赖局部异常因子异常检测法对剩余散射点进行异常检测,完成点杂波的抑制;最后利用杂波抑制后的高分辨距离像进行特征提取和目标识别。本文方法对目标是否运动无要求,算法涉及参数不需要人为设定。实测数据验证表明,所提方法的识别率优于传统方法,随着信杂噪比降低识别性能稳健,且运算量较小。     

基于等离子体的GTS模型气动减阻研究

为探究等离子体对类厢式货车的气动减阻效果,以GTS模型为研究对象,采用数值仿真的方法,分别研究了当来流风速为20 m/s时,3个位置处等离子体布置角度、激励电压对GTS模型的气动减阻效果并分析其减阻机理,然后进行组合工况的分析.研究结果表明,等离子体是通过诱导近壁面气体定向流动使流动分离点后移、推迟流动的分离,从而减小GTS模型前后压差阻力、降低整车气动阻力系数,等离子体布置的位置在流动分离点后方并且靠近流动分离点.单个位置激励时,等离子体布置在GTS尾部两侧时气动减阻效果最好,最大减阻率为5.09%;组合工况时最大减阻率可达6.01%.当来流风速一定时,等离子体存在最佳布置角度与激励电压.     

An M-Objective Penalty Function Algorithm Under Big Penalty Parameters

Some classical penalty function algorithms may not always be convergent under big penalty parameters in Matlab software, which makes them impossible to find out an optimal solution to constrained optimization problems. In this paper, a novel penalty function (called M-objective penalty function) with one penalty parameter added to both objective and constrained functions of inequality constrained optimization problems is proposed. Based on the M-objective penalty function, an algorithm is developed to solve an optimal solution to the inequality constrained optimization problems, with its convergence proved under some conditions. Furthermore, numerical results show that the proposed algorithm has a much better convergence than the classical penalty function algorithms under big penalty parameters, and is efficient in choosing a penalty parameter in a large range in Matlab software.