宁波舟山港主通道一体式钢管桩制造技术

宁波舟山港主通道工程70m跨非通航孔主桥和62.5m跨非通航孔引桥采用螺旋焊缝钢管桩(每根桩上、下部分壁厚不同),桩径分1.6m、1.8m、2m三种规格,最大桩长109m。针对钢管桩大直径、超长、不等壁厚等特点,钢管桩采用全自动化整桩螺旋卷制生产制造方案。制造过程中,将2根桩相同壁厚部分连起来制造,采用在线预精焊、全自动激光跟踪扫描智能化纠偏焊接技术、钢带对接外焊缝自动焊接设备和剪力环自动焊接专用机器设备,建立大直径、超长钢管桩全自动化生产线,实现钢管桩高质、快速制造。该技术的应用,使钢管桩焊接质量一次检测合格率达99.5%以上,加工效率提高2.5倍,仅用16个月,完成了24万吨钢管桩的制造。     

船体结构火工矫正工艺热弹塑性分析

在对船体结构火工矫正工艺的温度场进行数值分析的基础上,进而对火工矫正工艺的热弹塑性进行了分析,并对板厚及加热速度对残余应力及变形的影响做了研讨.     

一种交通量检测设备布设方法的研究

针对目前交通流检测设备布设中出现的一些问题，借助均匀设计方法，结合神经网络处理观测交通流数据，在设置数量有限制条件下，开展布设方案优化设计研究。方案设计力图在人力、物力投入最小的前提下，通过典型路段、交叉口等交通基础设施的组合，可以更多的获取交通流参数信息，全面、准确的反映城市交通流分布情况。选用了67的均匀设计表作为方案设计基础表，经过拟水平处理后设计优化方案，运用BP神经网络构建交通量推断模型，判定设计方案的优劣，进行了实地交通流检测设备优化布设研究。通过研究可知，采取优选布设方案采集的交通量对检测路段交通量进行预测，相对偏差可以达到0．006。     

带功率因数补偿的单相半控桥整流器(一)

介绍了绘制正弦线电流的开关模式单相半控桥整流器,用它来获得功率因数补偿并保持直流环节电压的恒定.在该整流器中使用4个有源开关,以便在交流端电压上产生单极脉宽调制(PWM)电压波形.与中性点箝位变流器(NPC)相比,该整流器没有箝位二极管也能实现三点式PWM控制.控制电路采用两个控制回路:外部控制回路用比例积分电压控制器调整直流环节电压,采用相位闭环电路产生与电源电压同相的正弦波形来实现功率因数补偿.在内部控制回路中,用基于载波的电流控制器跟踪线电流信号.为补偿由于负载变化所引起的中点电压,控制电路采用中点电压补偿器.该整流器的交流侧可产生3个电压电平,并用计算机仿真与试验结果验证了控制算法的有效性.     

VoIP中的丢帧补偿策略研究的概况

VoIP由于其分组交换方式及实时性特点,不能保证分组的可靠传输.阐述了造成VoIP质量不高的原因,比较了几种丢帧补偿策略的优缺点,介绍了G.723.1的插值补偿算法.     

测站偏移对变形监测结果的影响分析

在使用全站仪对大型建筑结构的变形进行实时监测时,受建筑结构、地形等客观因素的影响,有时某些测站点不得不布置在变形区内。在实时监测过程中,当变形区内测站点发生偏移时,该点的设站数据仍然是偏移之前的,这必然对监测数据的精度造成不利影响。为解决这一问题,推导出测点偏移对监测数据影响的定量公式,并对该不利影响给予实时改正。进行了模拟实验。实验结果表明:在动态实时监测系统中,这种方法可完全消除测站点不稳定带来的误差,并且简单易行。     

隧道洞口边坡变形的多阶段递进预测研究

为及时掌握隧道洞口边坡的变形规律,保证隧道进洞过程的安全,采用小波变换剔除变形序列中的误差信息,将原始序列分解为趋势项和误差项序列,并采用PSO-LSSVM模型和ARMA模型分别对趋势项和误差项进行预测,将两者叠加即得到边坡的综合变形预测值,再利用马尔科夫链建立预测误差的修正模型,进一步提高预测精度。对预测模型进行实例分析,结果表明： sym9小波函数、启发式阈值标准、硬阈值选取标准及10层小波分解的去噪效果较优,且通过综合预测,得到边坡变形预测结果的相对误差均值为1.03%,方差值为0.042 6,预测精度和稳定性较高,验证了预测模型的有效性。     

Urban travel time reliability at different traffic conditions

The decision making of travelers for route choice and departure time choice depends on the expected travel time and its reliability. A common understanding of reliability is that it is related to several statistical properties of the travel time distribution, especially to the standard deviation of the travel time and also to the skewness. For an important corridor in Changsha (P.R. China) the travel time reliability has been evaluated and a linear model is proposed for the relationship between travel time, standard deviation, skewness, and some other traffic characteristics. Statistical analysis is done for both simulation data from a delay distribution model and for real life data from automated number plate recognition (ANPR) cameras. ANPR data give unbiased travel time data, which is more representative than probe vehicles. The relationship between the mean travel time and its standard deviation is verified with an analytical model for travel time distributions as well as with the ANPR travel times. Average travel time and the standard deviation are linearly correlated for single links as well as corridors. Other influence factors are related to skewness and travel time standard deviations, such as vehicle density and degree of saturation. Skewness appears to be less well to explain from traffic characteristics than the standard deviation is.     

A stochastic analysis of highway capacity: Empirical evidence and implications

This paper presents a stochastic characterization of highway capacity and explores its implications on ramp metering control at the corridor level. The stochastic variation of highway capacity is captured through a Space–Time Autoregressive Integrated Moving Average (STARIMA) model. It is identified following a Seasonal STARIMA model (0, 0, 2₃) × (0, 1, 0)₂, which indicates that the capacities of adjacent locations are spatially–temporally correlated. Hourly capacity patterns further verify the stochastic nature of highway capacity. The goal of this paper is to study (1) how to take advantage of the extra information, such as capacity variation, and (2) what benefits can be gained from stochastic capacity modeling. The implication of stochastic capacity is investigated through a ramp metering case study. A mean–standard deviation formulation of capacity is proposed to achieve the trade-off between traffic operation efficiency and robustness. Following that, a modified stochastic capacity-constraint ZONE ramp metering scheme embedded cell transmission model algorithm is introduced. The numerical experiment suggests that considering capacity variation information would alleviate the spillback effect and improve throughput. Monte Carlo simulation further supports this argument. This study helps verify and characterize the stochastic nature of capacity, validates the benefits of using capacity variation information, and thus enhances the necessity of implementing stochastic capacity in traffic operation.     

有源功率因数校正技术在车辆照明中的应用

上海轨道交通1号线DC·上海轨道交通1号线DC01型列车受当时电力电子技术水平发展所限,其照明电路整流环节采用了以二极管为整流元件的桥式不控整流电路。由于该电路的固有缺点,其镇流器供电不可避免地带来功率因数低下和谐波干扰问题,导致供电不连续、电能浪费、低压控制电路受到谐波干扰。针对不控整流电路进行了分析研究,在不控整流器和电容之间接入直-直开关变换器,使原电路中增加了有源功率因数校正环节,并对控制电路进行了设计。通过此项设计提高原整流电路的功率因数,以实现高效率、高性能、具有谐波抑制能力的电子照明回路。实验结果表明功率因数可由原0.65左右提高到0.99左右,达到了预期的目的。型列车受当时电力电子技术水平发展所限,其照明电路整流环节采用了以二极管为整流元件的桥式不控整流电路.由于该电路的固有缺点,其镇流器供电不可避免地带来功率因数低下和谐波干扰问题,导致供电不连续、电能浪费、低压控制电路受到谐波干扰.针对不控整流电路进行了分析研究,在不控整流器和电容之间接入直-直开关变换器,使原电路中增加了有源功率因数校正环节,并对控制电路进行了设计.通过此项设计提高原整流电路的功率因数,以实现高效率、高性能、具有谐波抑制能力的电子照明回路.实验结果表明功率因数可由原0.65左右提高到0.99左右,达到了预期的目的.