几何参数对组合式推进器流噪声水平的影响

在组合式推进器相同水动力性能的设计前提下,采用数值模拟的方法针对不同设计方案流噪声水平进行了计算。宽带噪声采用Proudman声功率模型及Lilley提出的AALS模型计算,线谱噪声采用径向脉动力幅值衡量,比较了不同方案不同几何参数下的噪声,并在此基础上总结出主要几何参数与噪声水平之间的关系。本文研究成果对进一步进行组合式推进器声学设计具有重要指导意义。     

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...     

A network option portfolio management framework for adaptive transportation planning

A real option portfolio management framework is proposed to make use of an adaptive network design problem developed using stochastic dynamic programming methodologies. The framework is extended from Smit’s and Trigeorgis’ option portfolio framework to incorporate network synergies. The adaptive planning framework is defined and tested on a case study with time series origin-destination demand data. Historically, OD time series data is costly to obtain, and there has not been much need for it because most transportation models use a single time-invariant estimate based on deterministic forecasting of demand. Despite the high cost and institutional barriers of obtaining abundant OD time series data, we illustrate how having higher fidelity data along with an adaptive planning framework can result in a number of improved management strategies. An insertion heuristic is adopted to run the lower bound adaptive network design problem for a coarse Iran network with 834 nodes, 1121 links, and 10 years of time series data for 71,795 OD pairs.     

基于壅塞理论的CNG加气管流量计算分析

为了计算CNG加气系统的高压胶管的流量,以气体动力学为基础,建立等截面一维定常绝热摩擦流动的数学模型.利用VC+ +语言编制界面计算程序对模型进行编程求解,对壅塞状态和非壅塞状态下流量以及出口压力进行计算和拟合.当天然气汽车储瓶内的压力小于临界压力时,加气流量最大,且与胶管两端的压差无关,并计算出最大流量与胶管管长的关...     

高压燃气管道储气能力分析

高压燃气管道储气能力与两端压力和管长有着密切的联系.为了得到高压管道的储气量与压力和管长的关系,利用稳态仿真模型,采用四阶龙格-库塔法对模型进行求解,对求出的沿线压力进行线性拟合,得到沿线压力变化公式.结合储气定义推导出储气量与管长的关系式,并得到实例验证.从关系式来看,当管长等于最优管长时储气量最大.     

多分量相移键控信号码速率盲估计

为解决单通道接收机同时截获到同一频带范围内的多分量相移键控信号的参数估计问题,提出了一种不经信号分离直接提取各独立信号分量码速率的盲估计算法.从理论上推导了多分量相移键控信号的二阶共轭循环自相关具有线性特性,因此可以不受干扰地提取各信号分量的码速率;进而提出了简单而有效的谱峰增强方法,与基于二阶共轭循环自相关获得的谱峰相比,用此法获得的谱峰更为清晰.仿真实验表明:用提出的算法,当双分量信号功率比为1:1且信噪比为-5 dB时,码速率估计的正确率可达98％;尤其是在单分量环境下,该算法比现有算法的性能提高4 dB以上.     

沥青混合料汉堡车辙试验条件及评价指标研究

采用2种沥青、2种级配拌制4种混合料,分别在水浴和空气浴下进行50℃和60℃的汉堡车辙试验,分析了水和温度对车辙深度的影响;讨论了车辙深度和蠕变速率指标评价沥青混合料高温性能的不足,提出了车辙变形率指标.结果表明,水环境和提高温度都会加速车辙的产生,50℃水浴和60℃空气浴车辙深度的相关性好,50℃水浴汉堡车辙试验可以反映沥青混合料的抗车辙性能,建议B级沥青采用45℃,A级沥青采用50℃,改性沥青采用60℃的试验温度.     

重庆主城区江段溢油模型及数值试验研究

采用曲线正交网格处理复杂边界问题,在环境流体动力学模型DELFT的基础上,建立了三峡库区重庆段溢油模拟模型,对船用柴油发生泄漏后在该河段扩展、漂移、蒸发和岸线吸附等进行了数值模拟,并结合溢油模拟结果提出了相应的溢油应急对策.     

两种短时交通流混沌预测方法分析

短时交通流预测是智能交通系统的核心内容和交通信息服务、交通诱导的重要基础。采用符合交通流特性的混沌理论对短期交通流进行预测。在相空间重构和混沌识别的基础上,建立短期交通流加权一阶局域预测模型和基于最大Lyapunov指数的预测模型,并对一组实际的交通流数据进行预测。仿真结果表明:两种方法都能较准确的预测交通流,但最大Lyapunov指数预测模型的预测精度相对较高。