屏蔽电缆的耦合影响分析

针对工程中的电缆耦合问题,着重探讨了屏蔽电缆的电磁耦合影响。运用三导体传输线的理论建立屏蔽电缆电磁耦合的等效电路模型,并分析了相关的感性耦合和容性耦合。在此基础上,对某屏蔽电缆受邻近电缆耦合引起的串扰电压的幅频响应特征进行了仿真分析,结果表明,将屏蔽层任一端接地都能消除容性耦合;只有将屏蔽层两端都接地,才会影响到感性耦合。     

一种解决OFDM信号功率降额问题的子载波预留方法

针对OFDM信号功率降额问题,提出一种新的子载波预留方法。该方法利用谷值补偿算法改善OFDM信号的立方度量性能,并使用动态峰值削减算法降低OFDM信号的峰均功率比,同时对原有迭代过程进行简化,合理地控制计算开销。与传统的功率降额处理方法相比,本方法能更高效地降低系统峰均功率比,更好地控制立方度量性能。仿真和分析表明,该方法很好地解决了OFDM信号功率降额问题。     

屏蔽电缆的电磁脉冲时域耦合特性研究

屏蔽电缆对电磁脉冲辐射场的耦合特性对电子设备、系统的电磁干扰控制和电磁脉冲防护具有重要意义。研究屏蔽电缆的双传输线模型分析方法,计算不同频段电磁脉冲辐射场激励下,两种典型的屏蔽电缆在屏蔽层两端不同接地状态时,屏蔽层和芯线上的感应电流。编织屏蔽电缆芯线上的感应电流比管状屏蔽电缆大几个数量级;由于集肤效应的影响,管状屏蔽电缆芯线上的耦合随着频率的升高而降低;编织屏蔽电缆由于编织电感和小孔电感的影响,芯线上的耦合随着频率的升高而升高。对于高灵敏的高频、微波系统,对电磁脉冲的防护时要选用管状屏蔽电缆。     

船用柴油机组调速系统仿真研究

模拟电力系统的模拟研究中,柴油机及其调速系统直接影响系统机电暂态过程的准确性,对于判别系统受到大扰动后的暂态稳定和受到小扰动后的静态稳定性具有重要意义。从电站柴油发电机组的运动方程出发,在柴油机及其调速器数学模型的基础上,利用数字仿真计算机实时计算模拟转矩指令,用以控制一套高性能交流调速系统,从而实现电站柴油发电机组中柴油机及其调速器与系统转动惯量的数模混合模拟。实验表明,该模拟系统通用性强,响应速度快,准确性较高。     

船用曳引式升降机动力学建模及仿真分析

对船用升降机动态特性的研究一直以来都是升降机研究领域的一个薄弱环节。针对船用升降机的特殊性,根据曳引式升降机的物理模型建立升降机垂直方向上的动力学模型,并结合模态分析法研究该模型,得出升降机位置对其固有频率的影响。以船体振动中螺旋桨和主机振动频率为激励频率,将理想电气速度曲线引入系统中,运用Matlab软件模拟系统响应的全过程,得出船用升降机的一些基本运行特性。     

轮胎式龙门起重机转向阻力动态分析

介绍了龙门吊的转向台车.应用ADAMS/Tire模块建立仿真模型对轮胎式龙门起重机原地转向过程中的阻力变化进行动态分析,得出转向阻力与转向速度之间的关系.对龙门吊转向提出合理建议.     

A shockwave profile model for traffic flow on congested urban arterials

In this paper a new traffic flow model for congested arterial networks, named shockwave profile model (SPM), is presented. Taking advantage of the fact that traffic states within a congested link can be simplified as free-flow, saturated, and jammed conditions, SPM simulates traffic dynamics by analytically deriving the trajectories of four major shockwaves: queuing, discharge, departure, and compression waves. Unlike conventional macroscopic models, in which space is often discretized into small cells for numerical solutions, SPM treats each homogeneous road segment with constant capacity as a section; and the queuing dynamics within each section are described by tracing the shockwave fronts. SPM is particularly suitable for simulating traffic flow on congested signalized arterials especially with queue spillover problems, where the steady-state periodic pattern of queue build-up and dissipation process may break down. Depending on when and where spillover occurs along a signalized arterial, a large number of queuing patterns may be possible. Therefore it becomes difficult to apply the conventional approach directly to track shockwave fronts. To overcome this difficulty, a novel approach is proposed as part of the SPM, in which queue spillover is treated as either extending a red phase or creating new smaller cycles, so that the analytical solutions for tracing the shockwave fronts can be easily applied. Since only the essential features of arterial traffic flow, i.e., queue build-up and dissipation, are considered, SPM significantly reduces the computational load and improves the numerical efficiency. We further validated SPM using real-world traffic signal data collected from a major arterial in the Twin Cities. The results clearly demonstrate the effectiveness and accuracy of the model. We expect that in the future this model can be applied in a number of real-time applications such as arterial performance prediction and signal optimization.     

基于TBM工法的隧洞工程进度定量分析——以引红济石隧洞工程TBM段为例

文章结合QTBM理论,对引红济石隧洞工程前期的开挖进度数据进行了分析统计,结果表明:该工区TBM在Ⅲ类、Ⅳ类围岩中掘进速率较为稳定,而在V类围岩中掘进速率较低;同时,获得了适合该工区的岩体品质参数以及TBM净掘进速率、平均使用率等相关参数;并据此对该工程TBM待开挖段的工程进度进行预测,预测表明剩余6600m的开挖尚需...     

Modeling heterogeneous risk-taking behavior in route choice: A stochastic dominance approach

This paper proposes a unified approach to modeling heterogonous risk-taking behavior in route choice based on the theory of stochastic dominance (SD). Specifically, the first-, second-, and third-order stochastic dominance (FSD, SSD, TSD) are respectively linked to insatiability, risk-aversion and ruin-aversion within the framework of utility maximization. The paths that may be selected by travelers of different risk-taking preferences can be obtained from the corresponding SD-admissible paths, which can be generated using general dynamic programming. This paper also analyzes the relationship between the SD-based approach and other route choice models that consider risk-taking behavior. These route choice models employ a variety of reliability indexes, which often make the problem of finding optimal paths intractable. We show that the optimal paths with respect to these reliability indexes often belong to one of the three SD-admissible path sets. This finding offers not only an interpretation of risk-taking behavior consistent with the SD theory for these route choice models, but also a unified and computationally viable solution approach through SD-admissible path sets, which are usually small and can be generated without having to enumerate all paths. A generic label-correcting algorithm is proposed to generate FSD-, SSD-, and TSD-admissible paths, and numerical experiments are conducted to test the algorithm and to verify the analytical results.     

Real time queue length estimation for signalized intersections using travel times from mobile sensors

We study how to estimate real time queue lengths at signalized intersections using intersection travel times collected from mobile traffic sensors. The estimation is based on the observation that critical pattern changes of intersection travel times or delays, such as the discontinuities (i.e., sudden and dramatic increases in travel times) and non-smoothness (i.e., changes of slopes of travel times), indicate signal timing or queue length changes. By detecting these critical points in intersection travel times or delays, the real time queue length can be re-constructed. We first introduce the concept of Queue Rear No-delay Arrival Time which is related to the non-smoothness of queuing delay patterns and queue length changes. We then show how measured intersection travel times from mobile sensors can be processed to generate sample vehicle queuing delays. Under the uniform arrival assumption, the queuing delays reduce linearly within a cycle. The delay pattern can be estimated by a linear fitting method using sample queuing delays. Queue Rear No-delay Arrival Time can then be obtained from the delay pattern, and be used to estimate the maximum and minimum queue lengths of a cycle, based on which the real-time queue length curve can also be constructed. The model and algorithm are tested in a field experiment and in simulation.