城市快速路基本路段车辆运行特性调查与分析

快速路系统既承担大城市内部中长距离的机动车交通,又承担大城市与区域内其它城镇联系的对外交通。依托教育部高等学校博士学科点专项科研基金项目《城市快速路系统通行能力计算与服务水平评价方法研究》,对国内七个典型城市的快速路进行了交通调查,从交通量的变化特性、车速运行特性及交通组成特性方面对车辆运行特性进行了分析。     

Stress-Strain Relationship and Failure Criterion for Concrete after Freezing and Thawing Cycles

Introduction Underfreezingandthawing,macromechanical performanceofconcreteisgraduallydeterioratedby theinitiation,expansionandconnectionoftheinner cracks.Thisisaprogressiveprocessanddiffersfrom thedamageprocesscausedbyloads.Concretestruc turesincoldareas,…     

混凝土抗除冰盐的剥落性能与机理研究

进行了混凝土在3.5%盐溶液中快速冻融的实验研究，结果表明盐溶液对混凝土抗冻性的影响具有双重性，盐溶液使混凝土试件表面饱和程度提高，从而导致其严重剥落，重量损失大幅度增加，溶液降低冰点的作用使混凝土内部破坏程度较小，相对动弹性模量下降略为缓慢，混凝土的耐久性系数应该考虑相对动弹性模量和重量损失两个指标。     

多轴驱动车辆的扭矩优化分配

实践证明，制约多轴驱动车辆发展的问题之一是驱动扭矩的鸽合理分配技术。文中在假定所有轮胎具有个同滚动半径，同一车轴的左右轮胎爱力状态相同的前提下，以牵引功率最大，对多轴驱动车辆的驱动扭矩做了优化分配。通过分析得出，在一般路面正常行驶时，只有保证分配到各个驱动车轮的扭矩与各自的轴荷相匹配时，汽车才具有最小的功率循环及最高的牵引效率。     

纯氢燃料电池汽车性能的仿真

本文以由纯氢作燃料、采用串联式结构的燃料电池车用研究对象，通过仿真对车辆的部分参数和驾驶循环对车辆的性能影响进行了分析。在所分析的车辆参数中，动力系统效率的提高对车辆能量经济的改善最为有效，其次是车的总质量、空气阻力系数和滚动阻力系数减小的影响。在对原地起步加速特性的影响中，车重的减轻效果最为明显，其次是空气阻力系数和动阻力系数减小的影响。这些结论为燃料电池车动力系统的优化设计提供了依据。     

装甲车辆非稳定工况驱动性能仿真模型

基于发动机和传动系统的动态过程，本文开发了一个装甲车辆非稳定工况的驱动性能仿真模型。对一台装甲车辆的加速过程进行了实例仿真计算，计算结果与实测值符合较好。这个仿真模型可以方便地用于装甲车辆非稳定工况动力性能的研究。     

高速公路陡坡弯道路段安全性评价

结合运行车速理论,分析判定陡坡弯道的汽车行驶安全性,并在设计、管理等方面对存在安全隐患路段提出改进措施。     

Weather and road geometry impact on longitudinal driving behavior: Exploratory analysis using an empirically supported acceleration modeling framework

The objective of this paper is to quantify and characterize driver behavior under different roadway geometries and weather conditions. In order to explore how a driver perceives the rapidly changing driving surrounding (i.e. different weather conditions and road geometry configurations) and executes acceleration maneuvers accordingly, this paper extends a Prospect Theory based acceleration modeling framework. A driving simulator is utilized to conduct 76 driving experiments. Foggy weather, icy and wet roadway surfaces, horizontal and vertical curves, and different lane and shoulder widths are simulated while having participants driving behind a yellow cab at speeds/headways of their choice. After studying the driving trends observed in the different driving experiments, the extended Prospect Theory based acceleration model is calibrated using the produced trajectory data. The extended Prospect Theory based model parameters are able to reflect a change in risk-perception and acceleration maneuvering when receiving different parameterized exogenous information. The results indicate that drivers invest more attention and effort to deal with the roadway challenges compared to the effort to deal with the weather conditions. Moreover, the calibrated model is used to simulate a highway segment and observe the produced fundamental diagram. The preliminary results suggest that the model is capable of capturing driver behavior under different roadway and weather conditions leading to changes in capacity and traffic disruptions.     

侵蚀和冻融环境下水泥土强度的试验研究

某些特殊地区的水泥土地基既受到环境侵蚀又受到冻融循环的影响.通过室内试验的方法,研究水泥土先经受不同浓度和不同pH值的侵蚀性溶液侵蚀下,经过反复冻融后水泥土的强度特征,并探讨其强度改变的机理.试验结果表明,水泥土的强度特性受水化学作用和冻融循环的双重影响,其中水化学作用的影响贯穿全过程,冻融的影响与冻融循环次数关系紧密.结果可为特殊环境地基的设计与工程应用提供指导作用.     

Development of a representative urban driving cycle construction methodology for electric vehicles: A case study in Xi’an

This paper develops a systematic and practical construction methodology of a representative urban driving cycle for electric vehicles, taking Xi’an as a case study. The methodology tackles four major tasks: test route selection, vehicle operation data collection, data processing, and driving cycle construction. A qualitative and quantitative comprehensive analysis method is proposed based on a sampling survey and an analytic hierarchy process to design test routes. A hybrid method using a chase car and on-board measurement techniques is employed to collect data. For data processing, the principal component analysis algorithm is used to reduce the dimensions of motion characteristic parameters, and the K-means and support vector machine hybrid algorithm is used to classify the driving segments. The proposed driving cycle construction method is based on the Markov and Monte Carlo simulation method. In this study, relative error, performance value, and speed-acceleration probability distribution are used as decision criteria for selecting the most representative driving cycle. Finally, characteristic parameters, driving range, and energy consumption are compared under different driving cycles.