基于神经网络的导弹系统辨识

详细地讨论了神经网络在导弹动态特性中的应用 ,利用神经网络的万能拟合能力进行了神经网络的训练和仿真 ,为导弹离散控制系统的设计提供了有效的工程数据 ,给导弹系统的系统辨识提供了一条新的方法和思路     

圆柱壳受不对称径向冲击时的塑性动力屈曲分析

本文发展了Lindberg、Duffey等人的思想,考虑不对称冲击下圆柱壳的塑性动力屈曲问题,旨在研究内凹变形与屈曲的关系。用能量法导出了不对称基本变形的微分方程,近似地将之与对称情形下屈曲扰动控制方程联合,构成一个初值问题,然后进行数值求解。考虑了壳厚变化,放弃了屈曲过程中速度保持不变的假定(对称情形中采用)。本文的研究结果很好地解释了高速冲击时倒塌模式上无屈曲波形,屈曲波形遍布加载范围内且并不明显减弱,局部冲击临界速度高于对称情况形下临界速度等许多实验与已有的分析结果,从而明确了屈曲在塑性动响应中的地位。     

在交际过程中话语的正确与得体的互补作用

首先概述了语言的使用与语境密切相连,进而就话语使用的正确与得体的相关性问题,以英语语言为例,从会话和跨文化交际两个方面进行了论述,并得出如下结论：语言学习者不仅要能造出正确的句子,还要能根据语境以及不同的社会和文化背景,正确、得体地使用这些话语．     

一类流行病动力学模型的稳定性研究

本文建立了一类流行病动力学的S-I-D-S模型,讨论了该模型的无病平衡点的全局稳定性及有病平衡点的局部稳定性。     

船舶尾部结构振动计算

船舶尾部结构的振动问题应同时从船体总振动和尾部结构的局部振动两方面来考虑。本文从这一基本认识出发,利用有限元法编制了船舶尾部结构振动计算程序,并以实船为对象进行了尾部结构振动的计算,取得了较好的效果。     

基于小波技术的校园网流量分形特性研究

网络流量特性是人们深刻理解整个网络体系的架构及网络控制机制的切入点,所以有必要深入探究网络流量的特性。通过小波技术对某校园网络流量数据进行全面分析,细致地刻画了流量到达过程的自相似性与多重分形特性。     

MIMO-OFDM最优训练序列设计

推导得到了宽带 MIMO-OFDM 信道模型。在空间相关情况下推导了非盲信道估计的 Bayesian CRB及 Bayesian MMSE。利用 Bayesian CRB 准则对发送的训练序列进行了功率分配,而后利用一种线性规划的方法对带有保护带宽 MIMO-OFDM 训练符号进行子载波功率分配,并利用发端酉矩阵进行最优相位设计。     

Influences of different crossing types on dynamic response of underground cavern subjected to ground shock

An intersecting cavern is a common structural form used in underground engineering, and its safety and stability performance directly control the service performance of the whole project. The dynamic re-sponses of the three kinds of crossing type (+-shaped, T-shaped, L-shaped) caverns subjected to ground shock were studied by numerical simulation. The velocity plus force mode boundary setting method was proposed in the coupled static and dynamic analysis of a deep underground cavern. The results show that, among the three types of crossing caverns, the+-shaped cavern is the most significantly affected by the dynamic action, followed by T-shaped, and then L-shaped caverns. The vault settlement, straight wall deformation, vault peak particle velocity, effective plastic strain of surrounding rock, and maximum principal stress and strain at the bottom of the lining of the straight wall increase with the increase of cavern span. The vault settlement, straight wall deformation, effective plastic strain of surrounding rock, and the maximum principal stress and strain at the bottom of lining to the straight wall decrease with the increase of lateral pressure coefficient, and the peak particle velocity at the vault increases. The variation is small compared with the change of cavern span. The influence range of the underground cavern intersection is two cavern diameters from the intersection centre. The bottom of the straight wall at the intersection is the weak part. It is suggested to thicken the support locally to improve the stability of the cavern.     

Force chains based mesoscale simulation on the dynamic response of Al-PTFE granular composites

Force chains based mesoscale simulation is conducted to investigate the response behavior of aluminum-polytetrafluoroethylene (Al-PTFE) granular composites under a low-velocity impact. A two-dimensional model followed the randomly normal distribution of real Al particles size is developed. The dynamic compressive process of Al-PTFE composites with varied Al mass fraction is simulated and validated against the experiments. The results indicate that, force chains behavior governed by the number and the size of agglomerated Al particles, significantly affects the impact response of the material. The failure mode of the material evolves from shear failure of matrix to debonding failure of particles with increasing density. A high crack area of the material is critical mechanism to arouse the initiation re-action. The damage maintained by force chains during large plastic strain builds up more local stresses concentration to enhance a possible reaction performance. In addition, simulation is performed with identical mass fraction but various Al size distribution to explore the effects of size centralization and dispersion on the mechanical properties of materials. It is found that smaller sized Al particle of com-posites are more preferred than its bulky material in ultimate strength. Increasing dispersed degree is facilitated to create stable force chains in samples with comparable particle number. The simulation studies provide further insights into the plastic deformation, failure mechanism, and possible energy release capacity for Al-PTFE composites, which is helpful for further design and application of reactive materials.     

装备研制中的Bayesian网及其应用

针对装备研制过程中产生的大量试验和调试数据,提出采用Bayesian网挖掘各组成单元间的依赖关系,并对Bayesian网学习中基于信息论的方法进行了改进,使确定网络拓扑结构的过程更加客观.学习得到Bayesian网后,分析了其在失效源判定和发现设计缺陷等方面的应用.