一种RS码快速盲识别方法

为了获取数字通信中未知线路的纠错编码信息,提出了一种RS码快速盲识别方法.通过对RS码的二进制表示进行码根求解的方法来检测未知线路的RS码长、本原多项式阶数以及可能的本原多项式;进而遍历得到的本原多项式对RS序列进行伽罗华域的傅里叶变换(GFFT),通过连零位置和个数最终确定未知线路的真实本原多项式和生成多项式.实验验...     

供应链模式中采购管理组织结构沟通效率评价

为了评价采购管理组织结构沟通效率,利用趋势模型为组织结构构建提供科学可见的过程,并量化计算交流阻力,为项目选择沟通效率最高的组织结构.将此方法应用于采购实例评价,经过验证,此方法有一定的科学性和实用性.     

基于结构聚集度的海面目标特征描述及匹配方法

在对海面目标进行光电图像跟踪时,由于跟踪技术的局限性,跟瞄点往往会出现对目标的"失跟"现象,为了判断这一情况,通常需要对前后帧跟瞄区域的目标图像特征进行对比判别。但红外图像基本不存在颜色及纹理特征,而仅使用形状特征对于持续运动中的复杂目标图像又难以取得良好的效果。为解决这一问题,提出了一种基于目标结构聚集度的特征描述及匹配方法。首先对目标图像进行均匀矩形划分,在此基础上建立基于矩形块填充比的邻域矩阵作为图像特征,计算相邻帧图像该特征的欧氏距离差,并加入面积差参数进行特征匹配。对多种不同情况下的实测及模拟目标进行了计算机仿真实验,结果表明这种特征能够有效判断"失跟"情况,并且对于光学及红外目标旋转具有较好的不变性。     

结构设计对混响室场性能影响的仿真研究

通过仿真计算,分别研究了尺寸比例设计对混响室场均匀性的影响和体积变化对混响室电场强度大小的影响。数据结果表明：混响室内工作区域的场均匀性随着混响室长／宽比值增大而变差,且为获得场均匀性较优的测试环境,长宽比例应〈2。同时证明了混响室存在一临界体积上限,小于临界体积上限时,随着体积的增大,室内的电场强度逐渐减小,场均匀性逐渐提高;达到临界体积上限后,室内的场均匀性开始变差,混响室逐渐丧失对电磁波的混响作用。通过仿真计算得出混响室模型临界体积上限为10^4m^3。     

弹药集装单元储存静力学有限元分析

以简单的六面体结构为基础,以“铝板-聚氨酯泡沫材料-铝板”复合板材为弹药集装单元的主体材料,结合弹药集装单元的承载能力要求,建立弹药集装单元的基本模型。通过其在储存状态下的静力学有限元分析,了解3种不同堆垛情况下,弹药集装单元的应力与应变情况,为进一步研究弹药集装单元结构强度提供理论依据。     

运动激光辐照圆柱薄壳温度场的数值模拟

对圆柱薄壳在四种不同运动模式激光源辐照下的温度场分布进行了分析研究。运用傅立叶级数展开法推导了在不同运动模式激光源作用下圆柱薄壳温度场的解析表达式,并对该解析表达式进行了编程计算,其计算结果与有限元解吻合良好。详细分析了旋转角速度与平动速度对圆柱壳温升分布的影响,发现在往复运动加热模式下光斑区域的温升变化最为剧烈。计算结果为导弹的抗激光辐射提供了理论依据。     

考虑腐蚀因素的船体结构寿命预测方法

为建立考虑腐蚀因素的船体结构寿命预测方法,在分析现有常用的船体结构腐蚀损伤时变模型的基础上,根据舰船维修保障实际情况建立了考虑腐蚀防护系统作用时间和维修时间等因素的腐蚀时变模型。根据相关规范选择了船体结构腐蚀寿命标准,并建立了一种计算船体结构腐蚀寿命的方法。该方法建立了船体结构腐蚀寿命与腐蚀防护系统作用时间和修理时间等因素之间的量化关系,可以用于预测均匀腐蚀条件下船体结构寿命,也可以反过来指导腐蚀防护系统设计指标的选择和船体结构维修策略的确定。     

Real-time prediction of projectile penetration to laminates by training machine learning models withfinite element solver as the trainer

Studies on ballistic penetration to laminates is complicated, but important for design effective protection of structures. Experimental means of study is expensive and can often be dangerous. Numerical simu-lation has been an excellent supplement, but the computation is time-consuming. Main aim of this thesis was to develop and test an effective tool for real-time prediction of projectile penetrations to laminates by training a neural network and a decision tree regression model. A large number of finite element models were developed;the residual velocities of projectiles fromfinite element simulations were used as the target data and processed to produce sufficient number of training samples. Study focused on steel 4340tpolyurea laminates with various configurations. Four different 3D shapes of the projectiles were modeled and used in the training. The trained neural network and decision tree model was tested using independently generated test samples using finite element models. The predicted projectile velocity values using the trained machine learning models are then compared with thefinite element simulation to verify the effectiveness of the models. Additionally, both models were trained using a published experimental data of projectile impacts to predict residual velocity of projectiles for the unseen samples. Performance of both the models was evaluated and compared. Models trained with Finite element simulation data samples were found capable to give more accurate predication, compared to the models trained with experimental data, becausefinite element modeling can generate much larger training set, and thus finite element solvers can serve as an excellent teacher. This study also showed that neural network model performs better with small experimental dataset compared to decision tree regression model.     

An interface shear damage model of chromium coating/steel substrate under thermal erosion load

The Cr-plated coating inside a gun barrel can effectively improve the barrel's erosion resistance and thus increase the service life.However,due to the cyclic thermal load caused by high-temperature gun-powder,micro-element damage tends to occur within the Cr coating/steel substrate interface,leading to a gradual deterioration in macro-mechanical properties for the material in the related region.In order to mimic this cyclic thermal load and,thereby,study the thermal erosion behavior of the Cr coating on the barrel's inner wall,a laser emitter is utilized in the current study.With the help of in-situ tensile test and finite element simulation results,a shear stress distribution law of the Cr coating/steel substrate and a change law of the interface ultimate shear strength are identified.Studies have shown that the Cr coating/steel substrate interface's ultimate shear strength has a significant weakening effect due to increasing temperature.In this study,the interfacial ultimate shear strength decreases from 2.57 GPa(no erosion)to 1.02 GPa(laser power is 160 W).The data from this experiment is employed to establish a Cr coating/steel substrate interface shear damage model.And this model is used to predict the flaking process of Cr coating by finite element method.The simulation results show that the increase of coating crack spacing and coating thickness will increase the service life of gun barrel.     

基于随机Petri网的维修质量管理组织结构建模与分析

简述了利用随机Petri网进行维修质量管理组织结构建模的方法。根据实际需求,建立了2种组织结构形式的仿真模型。以模型为基础,对维修质量管理组织结构的静态结构和动态行为进行了研究,解决了维修质量管理组织结构的优选问题,对组织结构设计具有一定的指导作用。