Mechanical behaviour of a combined joint composed of mechanical fastening and adhesive bonding

A study has been made of ‘combined’ joints consisting of mechanical fastening and adhesive bonding between rigid adherends. The mechanical characteristics of such ‘hybrid’ butt and lap shear joints have been derived by theoretical analysis. Results from experimental tests in combined joints giver reasonable agreement with the theoretical equations relating joint load to deformation.     

半刚性钢-混凝土组合节点受弯承载力的计算

在半刚性钢 -混凝土组合框架中 ,混凝土板中的纵向钢筋增加了节点的强度和刚度 ,但是 ,传统的设计方法往往忽略纵向钢筋的作用而采用简化的计算模型。因此 ,出于经济效益考虑 ,应该根据半刚性组合节点的实际受力性能建立更加准确的计算方法。这里详细介绍了考虑混凝土板纵向钢筋作用的半刚性组合节点受弯承载力的计算方法 ,计算结果表明 ,建议的公式与试验结果吻合良好 ,可供规范制定和工程应用参考。     

Durability of Adhesion Between Metals and Polymers

Adequate adhesion between metals and polymers is primarily the result of chemical bonds in the boundary layer. This region, however, is subject to degradation by moisture. Three modes of deterioration are observed. The first is a largely reversible weakening effect in the polymer layer near the metal oxide surface. The structure of this layer differs from that of the bulk and is influenced by the chemical and physical properties of the surface. The second is a slow transformation of the oxide by hydration and a diffusion of oxide constituents into the polymer. This process is irreversible and is influenced by the state of the surface and chemical properties of the polymer. The third is a fast deterioration of the oxide by primary corrosion usually initiating at an unprotected edge but occasionally arising within the body of a joint.     

面向ZigBee的视频多描述编码及其传输性能仿真

针对视频码流在ZigBee等不可靠低速无线网络传输时易发生编码信息包丢失而导致接收端无法正确解码这一问题,提出一种基于3D-SPIHT视频多描述编码方案。与传统多描述编码如MDSQ相比,该方案创建的各描述质量平衡,并能通过去除视频帧间冗余来提高压缩比;与国际标准（H.264等）相比,该方案具有算法简单、能够在任意码流截断处解码、码率可连续分级和无明显块效应等优点。实验表明,该编码方案能够较好地应用于ZigBee多信道网络,并在较大压缩比的情况下仍能获取质量较好的重建图像,具有较高的应用价值。     

基于动态射频指纹的调频定位方法

针对调频(FM)广播信号动态变化对定位性能产生较大影响的问题,提出了动态射频指纹的FM定位方法。该方法采用多元线性回归和神经网络方法,根据离线阶段各个参考点和部分较准点的调频广播信号强度的关系,使用在线阶段较准点的信号强度实时估计在线阶段参考点的信号强度。通过这两种方法建立具有自适应能力的动态射频地图,并使用贝叶斯估计方法对目标进行定位。实验结果表明,相对静态射频指纹模型：采用多元线性回归的射频指纹动态映射模型定位误差平均减少9.1%,采用神经网络的射频指纹动态映射模型定位误差平均减少36.3%,有效抑制了射频信号动态变化时变性对定位性能的影响。     

Failure load prediction of structural adhesive joints : Part 2: Experimental study

The objective of this study was to determine how the fracture of adhesive joints depends on elastic beam parameters describing the adherends and the applied loads. The basic specimen geometry was the cracked lap shear joint constructed of aluminium alloy with various adherend and bondline thicknesses. Loads were applied in different combinations of bending, tension and shear to generate a failure envelope for each adhesive and specimen geometry. It was found that crack propagation for precracked specimens occured at a critical strain energy release rate but was also a function of the G_I/G_II ratio and the bondline thickness. The experiments also showed that the loads required to propagate a crack in a precracked specimen were always lower than the loads required to break the fillet. Hence, by treating uncracked joints as being cracked, where the fictitious crack tip is assumed to coincide with the location of the fillet, a conservative estimate of the failure load is obtained.     

基于乘法偏好关系的群一致性偏差熵多属性群决策方法研究

在多属性群决策中, 针对每一个属性下决策者都有一个关于决策方案的乘法偏好关系的决策问题, 提出一种基于乘法偏好关系的群一致性偏差熵多属性群决策方法. 此方法考虑到不同属性下的决策者具有不同的权重, 并通过迭代运算可以达到群一致性水平, 从而得出最终的不同属性下决策者的权重; 同时, 可以利用偏差熵模型来求解属性权重, 利用这两个权重最终获得一个综合各方意见的群一致性乘法偏好关系. 最后通过算例分析验证了所提出方法的有效性.     

混合估计多模粒子滤波的机动弱小目标检测前跟踪算法

针对低信噪比条件下的机动小目标实时检测与跟踪困难的问题, 提出一种基于混合估计多模粒子滤波的检测前跟踪改进算法. 首先根据前一时刻所采用的模型状态及其转移概率等先验信息实现当前时刻的模型采样; 然后在充分考虑当前量测下实现当前的粒子预测, 采用一种序贯重要性平滑重采样策略, 在不增加计算量的前提下, 改善了粒子多样性衰退的问题; 最后通过新的粒子集完成对模型和状态的合理估计与目标检测. 仿真结果验证了该方法的检测与跟踪性能优于传统的多模粒子滤波方法.

     

基于四元数和增广矩阵束的MIMO雷达角度估计算法

通过研究多输入多输出（Multiple input and multiple out, MIMO）雷达的角度估计算法,基于收发共址的十字阵MIMO雷达系统,将四元数理论应用到 MIMO雷达角度中,提出了一种新的参数估计算法。通过构造四元数模型,结合增广矩阵束（ Matrix enhancement and matrix pencil, MEMP）方法构造增广矩阵,并证明该矩阵的秩 等于目标总数,且不受目标相干性的影响,结合ESPRIT算法实现了对MIMO相干目标的角度估 计。算法无需谱峰搜索,能够实现参数的自动配对,同时降低了运算复杂度。仿真实验进一 步验证了算法的有效性。     

OFDMA系统中基于多业务QoS保证的机会调度算法

针对正交频分多址接入（OFDMA）系统中多业务资源调度问题,提出了一种基于服务质量（QoS）的最小性能保证的资源机会调度算法。以系统总吞吐量优化为目标,根据业务的QoS参量设计子载波调度参数,并利用图论中最大加权双向匹配问题的求解算法,在各业务间公平分配子载波资源,保证了各业务的QoS要求。仿真结果表明,所提算法在保证各业务的最低速率要求的前提下有效地提高了系统总吞吐量性能。