高等级道路水泥深层搅拌桩的设计、施工与检测

结合珠三角西北部地区地质情况和软土地基物理力学特点，阐述水泥深层搅拌桩在高等级道路软基处理中的设计、施工、检测控制。     

08-32型正线捣固车和08-475型道岔捣固车拨道系统几何原理分析

详细分析了08－32型正线捣固车和08－475型道岔捣固车三、四点法检测拨道的几何原理和实现方法，阐述了08－475型道岔捣固车拨道测量弦随动系统的补偿几何原理，并推导出了各参数之间的几何关系。为拨道系统的电气控制及电气调试提供了理论依据。     

极线约束下的多分辨率相关匹配算法

针对计算机视觉在几何测量应用中图像匹配特点,提出了将多分辨率和极线约束与相关法相结合的图像匹配方法。该方法采用金字塔分层和极线约束来弥补相关匹配带来运算量大的不足,克服了图像匹配中精度低的缺点。通过计算机视觉在几何测量检测系统中图像匹配的实际应用,验证了该算法具有较高的测量精度、速度及其实用性。     

地铁车站单双层过河段沉降计算分析

探讨地铁车站单双层地铁站过河段沉降差,采用土的Coulomb-Mohr破坏与屈服准则建立模拟施工过程(包括土体自重变形、开挖、回填等)的三维有限元力学模型,得到施工过程引起的周围岩土应力变化、沉降变形以及地铁单双层过河段的沉降差值.单双层车站最大沉降控制在3 cm以内,最大沉降差控制在1 cm以内,能够满足设计要求.对二维计算结果进行校核,车站单双层的底板、顶板、侧板与中柱在施工过程中各个工况均满足设计要求.     

三维植被网护坡技术在哈同公路的应用

介绍了边坡生态防护技术和三维植被网护坡技术在哈同公路的应用。     

多房棘球绦虫重组Bb-Em14-3-3疫苗的构建及其表达效率

目的构建多房棘球绦虫(Em)重组双歧杆菌(Bb)-Em14-3-3疫苗,并研究Em14-3-3分子在大肠埃希菌BL21(DE3)中的表达效率。方法通过PCR扩增Em14-3-3抗原编码基因;将该基因定向克隆于含有谷胱甘肽-S-转移酶(GST)基因的大肠埃希菌-双歧杆菌穿梭表达载体pGEX-1λT,构建重组质粒pGEX-Em14-3-3;用电穿孔法将该质粒导入Bb,构建多房棘球绦虫重组Bb-Em14-3-3疫苗。经PCR和酶切鉴定后以IPTG诱导表达Em14-3-3/GST融合蛋白;SDS-PAGE及Western blot对表达产物进行鉴定。结果PCR成功扩增出530 bp的Em14-3-3基因;双酶切证实Em14-3-3基因插入pGEX-1λT中;PCR证实重组Bb-Em14-3-3疫苗构建成功;SDS-PAGE及Western blot分析显示重组质粒转化宿主菌在IPTG诱导下高效表达了Em14-3-3/GST融合蛋白,表达效率为23%。结论成功构建了多房棘球绦虫重组Bb-Em14-3-3疫苗,重组质粒pGEX-Em14-3-3在大肠杆菌中获得了高效表达,Western blot结果提示表达出的Em14-3-3重组蛋白具有特异抗原性。     

最大偏应力屈服准则在π平面上图形的形状、方位

根据塑性力学原理,首先建立π平面与主应力空间的关系模型,然后根据最大偏应力屈服准则在π平面上的表达式,推导并验证最大偏应力屈服准则在π平面上图形的形状和方位,目的在于明确拉伸情况下,最大偏应力屈服准则在π平面上的形状、方位。     

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.     

基于GT-Suite的重型载货车冷却系统仿真及匹配设计

基于GT-Suite软件建立了某重型载货车发动机冷却系统的一维-准三维混合仿真模型,通过对发动机极限工况下出水温度、出水流量等计算结果与试验值对比分析,验证了仿真模型的准确性。最后在此模型基础上对发动机冷却系统进行风扇选型匹配,实现了满足整车冷却性能要求的前提下,减小了其消耗功率,从而提高了整车经济性。