具有内部甲板的环肋柱壳振动和声学试验分析

对具有内部甲板的环肋柱壳模型进行振动和声辐射试验。先将测量的壳体固有频率和振型与有限元计算值做对比,然后将测量的辐射声压值与理论计算值进行对比,证明了实验的正确性和准确性。结果表明,具有内部平台甲板的模型的振型更加丰富,并且甲板的有无使得模型的固有频率和振型差别都较大,增加内部甲板后激励壳体产生的辐射声压值比激励甲板的要大。     

基于嵌入式服务器的多模航行信息接收系统设计

文章设计了一种基于嵌入式服务器的多模航行信息接收系统,具有自动接收船舶识别信息、航行告警信息和气象传真信息的功能,同时具备了通过多功能显示器和热敏打印装置进行集中显示和图像打印的功能。文中给出了系统硬件组态及相应软件设计流程,测试和试用结果显示系统具有极高可靠性和实用性,具有很大的市场推广价值。     

动态OD估计方法研究综述

根据动态OD估计所利用的数据特性,将动态OD估计模型划分为基于固定源数据的OD估计模型和考虑移动源数据的OD估计模型,开展国内外研究现状分析,在此基础上,提出今后动态OD估计研究的发展方向。     

Hinge joint damage identification method of soft yoke mooring system based on multibody dynamic modeling and structural monitoring data

Soft yoke mooring system (SYMs) is a single-point mooring system used in shallow water oil and gas development. In general, SYMs consists of mooring framework support, mooring legs, yoke, and single-point turret and it forms a multibody dynamic system with 13 hinge joint structures such as universal joints and thrust bearings. The hinge joint is one of the key components of SYMs; therefore, it is necessary to accurately evaluate the operating behavior of the hinge joints. In this study, real-time damage identification is conducted based on the multibody dynamic features of the SYMs. First, a long-term monitoring strategy for the prototype application is developed based on the multibody governing equations of the SYMs. The motion behaviors and stress state of the hinge joints and bodies are calculated using prototype monitoring data. A hinge joint damage identification based on the virtual moment is proposed by considering the changes in the friction coefficient in the damage state. The virtual moment method is used to transform the damage identification problem of the SYMs into a problem of seeking the optimal solution to the dynamics identification function. Genetic algorithm (GA) is implemented to seek the optimal solution of the friction coefficient of each hinge joint. A large-scale model testing system of the SYMs is established to perform the damage identification of the bottom hinge joints of the SYMs. The results show that the proposed method can effectively identify the damage degree and position of the hinge joints of the SYMs and provide a real-time warning system for the in-service operation of the SYMs.     

Cluster-based correlation of severe driving events with time and location

In this article, a systematic strategy is proposed to identify severe driving events occurrence correlation with time and location. The proposed approach, which is constructed based on batch clustering and real-time clustering techniques, incorporates historical and real-time data to predict the time and location of severe driving events. Batch clustering is implemented with the combination of subtractive clustering and fuzzy c-means clustering to generate clusters representing the initial correlation patterns. Real-time clustering is then developed to create and update real-time correlation patterns on the foundation of the batch clustering using the evolving Gustafson–Kessel like (eGKL) algorithm. In both clustering processes, the correlation of the events within time domain is identified first, and then two different levels of accurate correlations are conducted for the location domain. Real-time data of operating vehicles each equipped with a data acquisition and wireless communication platform are used to validate the proposed strategy. Batch clustering results reveal the severe braking events distribution and concentration at daytime and nighttime. Real-time clustering provides and updates the variation of the correlations/intercorrelation of different regions. Drivers can be notified of the potential severe driving locations through maps showing the driving routes. Through the variation of the correlations, drivers can recognize the events occurrence at different times and locations. The generated time series can be potentially used to develop spatial-time models for regions to model and forecast the events occurrence.     

谈盘式制动器卡滞和异响的设计改进

根据目前的售后信息反馈,卡滞和异响是盘式制动器的两大难题.文章从设计角度阐述了改进盘式制动器卡滞与异响的方法.改进方法主要有活塞防尘罩结构设计、导向销和定位销结构设计、制动块摩擦性能匹配、消音片结构设计以及钳体支架表面镀锌处理等.以上很多改进已经在实际产品中得以应用,实践证明改进效果明显.     

基于OD分布的运输通道识别方法

为了弥补运输通道分析方法的缺陷,本文结合运输通道＂带状分布＂、＂客货流密集＂等特征,提出了基于OD分布的运输通道定量识别方法。首先利用图论,在OD分布图上识别出所有抽象的带状路径,并结合OD矩阵筛选出其中OD量最大的一条或多条路径,然后通过区域产业轴线、城镇轴线以及交通轴线的定性验证,确定运输通道。最后,对驻马店市运输通道进行实例分析,结果表明其精确度较高,具有科学合理的实用性。     

有限元法在载荷识别中的应用

用材料力学方法和准静态法,对大秦线2万t重载列车用转K6转向架交叉杆所受的动态载荷进行了识别,并分别编制了轴力谱、横向力谱和垂向力谱,进行了两种方法的载荷极值比较和误差分析。     

消除三相电压不平衡引起的电压源逆变器直流环节电压脉动的控制方法

研究和分析了用于消除电网不平衡时电压源逆变器直流母线脉动电流的补偿控制方法.脉动电流不仅影响传动装置的运行性能,而且降低逆变器的电源品质.控制参数范围的选择取决于变流器抵抗电压不平衡的能力和系统参数.文中讨论和分析了在控制参数范围内控制方法对每相的功率因数和电流幅值的影响,重点分析了功率因数和前端整流器输入端电流不平衡问题,并提供系统在无补偿控制和补偿控制两种状态下的数值仿真和实验测量结果.     

通信信号调制样式的自动识别

针对卫星通信信号中常用的数字信号调制样式的自动识别问题,提出一种基于人工神经网络（ArtificialNeuralNet,ANN）的识别算法,该算法在几乎没有先验信息的条件下,以几种调相信号为基本模型,通过双隐层人工神经网络获取频谱特征,进而判别出不同信号的调制样式。仿真及实测数据验证表明,该算法在低信噪比条件下,随着神经元组合数量的增加,数字调制样识别的正确率有明显提高。