A comparative investigation of interfacial adhesion behaviour of polyamide based self-reinforced polymer composites by single fibre and multiple fibre pull-out tests

Abstract

Interfacial adhesion of composite materials plays an important role in their mechanical properties and performance. In the present investigation, analysis of the interfacial properties of self-reinforced polyamide composites by using microbond multiple fibre pull-out test is emphasised. Microbond specimens prepared through thermal processing are tested for their interfacial properties by multiple fibre bundle pull-out tests and compared with that of traditional single fibre pull-out test specimens. Multiple fibre pull-out addresses the volume fraction as well as eliminates the possibility of fibre breakage before matrix shear. Higher scatter in the data in the samples is addressed in the present studies. FTIR and Fractographic studies are carried out for deep understanding of the post pull-out interfacial adhesion.     

A free space frequency‐time‐domain technique for electromagnetic characterization of materials using reflection‐based measurement

In this report, a free space frequency‐time‐domain technique is presented for characterizing the electrical properties and thickness of the sample using multiple reflections and fabry‐perot resonance phenomenon. The retrieval of constitutive electromagnetic parameters of the sample has been carried out by comparing the measured reflection coefficient data from the sample at two different incident angles. The relative permittivity as well as relative permeability along with the thickness of different samples viz., beryllia, silicon, and plexiglass have been evaluated with high accuracy in the frequency range 1 to 15 GHz. The method is also experimentally validated by successfully reconstructing the unknown material properties of two different samples. The unique advantage of this method lies in non‐requirement of any prior knowledge of the sample's thickness for measuring the complex relative dielectric constant as well as relative permeability of the sample. To determine the electromagnetic properties of the sample, the sole knowledge of reflection coefficient data are needed. Moreover, the method does not involve any additional measurement for the reference calibration. The simple, cost‐effective proposed scheme is quite useful in many applications like accurate determination of signal strength in indoor wireless communication, through wall imaging, food industry, and so on.     

Delay‐dependent stability of nonlinear hybrid neutral stochastic differential equations with multiple delays

In this article, we study the delay‐dependent stability of a class of hybrid neutral stochastic differential equations (NSDEs) with multiple delays which is highly nonlinear. Some novel stability criteria are investigated according to Lyapunov functions and generalized Itô's formula. In particular, we generalize and improve the results in Shen et al, Systems & Control Letters (2018) from a single delay to multiple delays.     

基于多尺度特征多对抗网络的雾天图像识别

目的 当前的大型数据集,例如ImageNet,以及一些主流的网络模型,如ResNet等能直接高效地应用于正常场景的分类,但在雾天场景下则会出现较大的精度损失。雾天场景复杂多样,大量标注雾天数据成本过高,在现有条件下,高效地利用大量已有场景的标注数据和网络模型完成雾天场景下的分类识别任务至关重要。方法 本文使用了一种低成本的数据增强方法,有效减小图像在像素域上的差异。基于特征多样性和特征对抗的思想,提出多尺度特征多对抗网络,通过提取数据的多尺度特征,增强特征在特征域分布的代表性,利用对抗机制,在多个特征上减少特征域上的分布差异。通过缩小像素域和特征域分布差异,进一步减小领域偏移,提升雾天场景的分类识别精度。结果 在真实的多样性雾天场景数据上,通过消融实验,使用像素域数据增强方法后,带有标签的清晰图像数据在风格上更趋向于带雾图像,总的分类精度提升了8.2%,相比其他的数据增强方法,至少提升了6.3%,同时在特征域上使用多尺度特征多对抗网络,相比其他的网络,准确率至少提升了8.0%。结论 像素域数据增强以及多尺度特征多对抗网络结合的雾天图像识别方法,综合考虑了像素域和特征域的领域分布差异,结合了多尺度的丰富特征信息,同时使用多对抗来缩小雾天数据的领域偏移,在真实多样性雾天数据集上获得了更好的图像分类识别效果。     

一种考虑电压岛边界约束的多电压布图算法

多电压设计(multiple supply voltage,MSV)是降低SoC功耗的有效方法之一.为便于电压岛供电引脚的放置,提出了一种考虑电压岛边界约束的多电压布图算法.首先,基于切分树表示的布图解特点,提出一种边界检查算法快速确定所有模块的边界信息.其次,以优化功耗为目标采用改进动态规划方法进行多电压分配并构建电压岛.最后,以模拟退火算法作为搜索引擎对芯片的面积、线长和功耗进行协同优化.为减少SA迭代次数,采用了一个两阶段的降温策略.对GSRC电路的实验结果表明,该算法可获得满足边界约束的多电压布图,且和不考虑边界约束时相比,仅在功耗上平均增加5.2％.     

多故障的电子设备系统诊断设计方法研究

针对复杂电子设备在使用过程中多故障诊断难的问题,以相关性模型为基础,提出了一种多故障诊断的设计方法;首先,根据相关性模型确定测试D矩阵,并获得组成单元与测试次数的关系矩阵;其次,根据每次实际测试的结果构建测试结果矩阵,并计算获得测试故障单元矩阵;最后,通过综合测试故障单元矩阵与测试次数关系矩阵的数据,确定故障单元的概率,根据故障概率定位出故障单元;通过实例验算表明:多故障诊断方法可准确定位故障单元,大幅降低误修率。     

高速列车多目标约束横向半主动控制算法研究

传统的高速列车横向半主动控制研究,主要以提高车体横向运行平稳性为目的;但车体与各部件之间通过二系悬挂与一系悬挂连接传递相互耦合振动作用,因此半主动控制在改善车体横向平稳性的同时,将导致构架横向振动和轮轨横向作用加剧,从而使得列车脱轨系数增大,列车运行安全性能变差;针对这一问题,提出在虚拟惯性阻尼半主动控制和脱轨安全半主动控制的基础上,设计两个控制回路的多目标约束下的混合半主动控制算法,在实现列车横向半主动控制提高平稳性的同时,控制脱轨系数的恶化,从而同时提高列车平稳性和脱轨安全性能;并利用Simpack建立了某型高速列车多刚体动力学模型,联合Matlab/Simulink建立了联合仿真分析系统对车体横向半主动控制进行研究;结果表明:采用多目标约束半主动控制算法后,车体横向振动加速度峰值和均方根值分别降低了36%和34%,平稳性改善了15%,脱轨系数减小了17%;可见采用多目标约束半主动控制算法不仅能够有效抑制车体横向振动,改善列车运行平稳性,而且还能减小列车脱轨系数,提高列车运行安全性。     

应对长江口咸潮入侵的临界流量经验模型研究

1994年以来,长江口咸潮入侵严重威胁当地供水安全,随着长江上游水库群陆续建成,有关部门提出了通过上游水库群压咸调度保障长江口地区供水安全的方案。为明确压咸调度的目标流量(即临界流量),基于统计分析的方法,采用多元回归分析和主成分分析方法,选取实测站点数据建立了盐度-潮差-入海流量的相关关系统计模型,研究了咸潮发生的机理;通过模型分析多次咸潮入侵数据,确定临界流量为一个变化值,潮差290～335 cm下的临界流量在9 390～21 633 m³/s之间。研究表明,当长江口咸潮入侵时,单独依靠长江上游水库调度压咸所需的流量大,响应时间长,压咸效果不明显。因此,实际压咸调度应通过流域整体调度与本地蓄淡避咸水库共同作用应对咸潮入侵。     

基于二次虚拟扩展的高分辨率波达方向估计方法

为进一步提高天线阵波达方向估计的分辨率,在四阶量多重信号分类方法的基础上,提出一种高分辨率的波达方向估计方法.利用阵列接收数据的四阶矩量进行虚拟阵列扩展,再利用阵列接收数据的共轭进行虚拟阵列扩展,实现二次虚拟扩展;将扩展后的阵列导向矢量和协方差矩阵用于波达方向估计,与原阵列导向矢量和协方差矩阵相比,相当于构造了更多的虚拟阵元,并扩展了阵列的孔径.仿真结果表明:与四阶量多重信号分类等波达方向估计方法相比,所提出的方法在波达方向估计中成功概率更高,均方误差更低,具有更高的分辨率.所提方法通过二次虚拟扩展,构造了更多的虚拟阵元,有效地提高了天线阵波达方向估计的分辨率.     

MIMO radar waveform design in the presence of clutter and colored noise

The existing MIMO radar waveform design methods only deal with the optimization of radar waveform with the presence of clutter or colored noise, and unfortunately can not get the optimal waveform with the scenario when the clutter and colored noise coexist, which is more realistic in practical applications. To address this problem, a novel MIMO radar waveform design method based on mutual information in the presence of clutter and colored noise is proposed. The proposed scheme considers the influence of the target's response, clutter and colored noise on the optimization of the radar waveform. The mathematical expression for the transmit waveform matrix is achieved by theoretical derivation. What is more important, an optimal pairing of the eigenvectors of the target, clutter and colored noise is given and the power allocation for each antenna is optimized by the water-filling method. Simulation results show that when the total transmit power is 10dB, the proposed method's MI is 8bit and 4bit more than that of the general water-filling method and the method which only considers the pairing of the target's response and noise, respectively.