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.     

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.     

加速度计动态误差系数标定的仿真研究

为了简化加速度计动态误差系数的标定过程,缩短标定试验时间,在建立加速度计动态误差数学模型的基础上,结合三轴转台模型及测试原理,一次性标定出加速度计动态误差系数,同时避免了角振动台的使用。最后利用MATLAB软件进行仿真试验,得到了较好的结果。     

动网格在仿真发射装置内弹道中的应用

介绍了动网格的更新方法,并且结合湍流模型、汽化模型在fluent平台上对内弹道进行仿真。仿真结果表明,导弹出筒速度与实际试验结果吻合程度相当好,误差在1%以内,仿真方法对实际工程有重要的指导意义。     

贝叶斯网络下考虑攻击企图的目标威胁评估

为解决舰艇编队的防空目标威胁评估问题,针对现有威胁评估方法中忽略目标攻击企图,且只进行静态评估而未考虑目标机动导致的运动参数变化对威胁评估的影响之不足,提出了利用目标攻击时所表现出来的特征参数进行攻击企图估计,并分析了影响机动目标威胁程度的相关参数和变量,以目标信息更新周期为不同时间片,建立了用于动态评估目标威胁度的离散模糊动态贝叶斯网络结构模型。为适应编队防空中火力通道多、目标批次多的特点,将一般威胁等级从3级划分扩展为5级划分。给出了网络中主要节点的状态转移概率表和条件概率表。通过对机动目标按照典型攻击航路的威胁度变化仿真表明,所建立的模型和采用的方法合理有效,能够较为准确地反映目标威胁,贴近实战。     

气液同轴式喷嘴雾化特性的试验

通过试验研究气液同轴直流式和气液同轴离心式喷嘴的雾化性能。研究表明:喷嘴出口扩张时可以改善喷嘴的雾化性能;气液同轴直流式和气液同轴离心式喷嘴都存在一个合适的缩进长度,在改善喷嘴雾化特性的同时对总流量影响较小;在相同条件下,气液同轴离心式喷嘴的喷雾性能要优于气液同轴直流式喷嘴的喷雾性能。     

A review of dual-spin projectile stability

This paper gives a succinct review of dual-spinprojectile stability and some technologies relating to them. It describes how the traditional stability factors from linear projectile theory are modified to better describe a controlled dual-spin projectile. Finally, it reviews works which have investigated how different aspects of a controlled dual-spin design can affect flight stability, primarily airframe structure and canard properties. A conclusion is given, highlighting important guidelines from the enclosed discussions.     

Physical and damping properties of kenaf fibre filled natural rubber/thermoplastic polyurethane composites

The paper presents the investigation of the effect of alkaline treatment of sodium hydroxide (NaOH) on physical and dynamic mechanical analysis (DMA) viscoelastic properties of kenaf fibre filled natural rubber (NR)/thermoplastic polyurethane (TPU) composites. The treated kenaf fiber, NR and TPU were weighed and proportioned according to the required compositions and were blended using hot mixed Brabender machine. The polymer composites were then fabricated using the hot press to form a sample board. The sample was cut and prepared and water absorption, density, thickness swelling and DMA tests were performed. As far as physical properties are concerned, composites with the highest NR amount of shows the best results, which indicates good fiber bonding adhesion. The polymer composites with the highest amount of TPU shows the highest damping properties at high temperature.     

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。     

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