汔车运行材料在现代电控汽油轿车上的使用分析

汽车使用的燃料、润滑剂、特种液和橡胶轮胎等统称为汽车运行材料。分析汽车运行材料在现代电控汽油轿车上的使用情况，给出相应的使用原则及注意事项，可为维修人员和驾驶员等提供参考。     

儿童慢型克山病的自然病程

为了探讨儿童慢型克山病的自然病程和预后危险因素，本文分析了长期随访的儿童慢型克山病６３例，结果表明：①儿童慢型克山病预后差，其１年存活率５０．５％、５年仅１５．８％；②自然慢性发病、有奔马律、心功能Ⅲ级以上，心电图心室增大，Ｘ线心胸比率重度扩大者，５年存活率低（Ｐ＜０．０５或０．０１）。     

单向非贯通节理岩体滚刀破岩 特性离散元模拟

相较于贯通节理,岩桥的存在使非贯通节理岩体受力破坏过程更加复杂。为探明其对破岩影响,通过采 用 PFC2D建立单向非贯通节理岩体滚刀破岩离散元模型,研究岩桥长度和倾角对岩体破碎模式、法向力、裂纹数 量及比能耗等参数的影响,揭示非贯通节理岩体滚刀破岩特性。研究发现：岩体以张拉破坏为主,节理对裂 纹扩展的“导向作用”明显,裂纹扩展方向总是趋向于和其距离最近的节理;竖向应力水平随节理倾角增加呈现 先增大后减小的趋势,在 45°倾角下达到最大值,应力区形状受到节理位置影响,两者具有一致性;完整岩体法 向力均值和峰值均大于节理岩体,节理对于破岩过程具有明显的促进作用;0°、60°、90°节理倾角下的比能耗值 明显低于其他节理组合,60°倾角下呈减小趋势,在岩桥长度为 25 mm 时取得最小值;0°、90°倾角下呈先减小后 增大趋势,在岩桥长度为 15 mm 时取得最小值。     

基于UDEC仿真的滚刀最优刀间距确定方法

为了得到指定切深下合理的刀间距,提出一种基于UDEC仿真的滚刀最优刀间距确定方法。通过试验机得到岩样力学参数,利用2D离散元仿真软件UDEC,建立了无围压条件下两把滚刀顺次切削节理不发育岩石的数学模型,在此基础上设计了一组数值试验,成功地模拟出了不同切深和刀间距下滚刀破碎岩石的全过程。分析得到指定切深下仿真切削比能耗与刀间距的对应关系,最小比能耗下的刀间距即为最优刀间距。最后,利用回转式盾构刀具切削实验台,采用恒切深方式进行多组实验,记录刀具所受三向力和破碎岩样重量,得到实验最优刀间距。通过实验手段和仿真手段得到的最优刀间距基本一致,工程数据也进一步证实了这一点。因此,基于UDEC仿真的滚刀最优刀间距确定方法是可行的。     

独墩单铰支座曲线梁桥通病分析及治理

针对目前独墩单铰支座曲线梁桥出现的通病 ,就温度对其梁体的变位影响以及预应力等因素对其支座支反力的作用进行了实例剖析。在此基础上探讨此类桥梁的支承体系的病害整治对策 ,并通过加固实例的监测结果予以验证     

海湾大桥北引道沥青混凝土罩面设计

结合广东省汕汾高速公路汕头海湾大桥北引道路面加铺工程,分析软基路段过渡性路面的病害,提出沥青混凝土路面罩面结构设计和施工中须注意的问题.     

水泥混凝土路面质量病害问题探讨

根据目前水泥混凝土路面建设比较普遍的情况,针对施工中出现比较多的质量病害进行了分析,分别从水泥混凝土路面的裂缝产生的过程,材料、配合比、水灰比、施工操作等对质量的影响,以及产生外观质量缺陷的原因进行了评述.     

Experimental evaluation of Heavy Duty Vehicle speed patterns in urban and port areas and estimation of their fuel consumption and exhaust emissions

Exhaust emissions and fuel consumption of Heavy Duty Vehicles (HDVs) in urban and port areas were evaluated through a dedicated investigation. The HDV fleet composition and traffic driving from highways to the maritime port of Genoa and crossing the city were analysed. Typical urban trips linking highway exits to port gates and HDV mission profiles within the port area were defined. A validation was performed through on-board instrumentation to record HDV instantaneous speeds in urban and port zones. A statistical procedure enabled the building-up of representative speed patterns. High contrasts and specific driving conditions were observed in the port area. Representative speed profiles were then used to simulate fuel consumption and emissions for HDVs, using the Passenger car and Heavy duty Emission Model (PHEM). Complementary estimations were derived from Copert and HBEFA methodologies, allowing the comparison of different calculation approaches and scales. Finally, PHEM was implemented to assess the performances of EGR or SCR systems for NO_X reduction in urban driving and at very low speeds.The method and results of the investigation are presented. Fuel consumption and pollutant emission estimation through different methodologies are discussed, as well as the necessity of characterizing very local driving conditions for appropriate assessment.     

Transport energy consumption in mountainous roads. A comparative case study for internal combustion engines and electric vehicles in Andorra

This paper analyses transport energy consumption of conventional and electric vehicles in mountainous roads. A standard round trip in Andorra has been modelled in order to characterise vehicle dynamics in hilly regions. Two conventional diesel vehicles and their electric-equivalent models have been simulated and their performances have been compared. Six scenarios have been simulated to study the effects of factors such as orography, traffic congestion and driving style. The European fuel consumption and emissions test and Artemis urban driving cycles, representative of European driving cycles, have also been included in the comparative analysis. The results show that road grade has a major impact on fuel economy, although it affects consumption in different levels depending on the technology analysed. Electric vehicles are less affected by this factor as opposed to conventional vehicles, increasing the potential energy savings in a hypothetical electrification of the car fleet. However, electric vehicle range in mountainous terrains is lower compared to that estimated by manufacturers, a fact that could adversely affect a massive adoption of electric cars in the short term.     

Multi-criteria optimization of traffic signals: Mobility,safety, and environment

Two-dimensional multi-objective optimizations have been used for decades for the problems in traffic engineering although only few times so far in the optimization of signal timings. While the other engineering and science disciplines have utilized visualization of 3-dimensional Pareto fronts in the optimization studies, we have not seen many of those concepts applied to traffic signal optimization problems. To bridge the gap in the existing knowledge this study presents a methodology where 3-dimensional Pareto Fronts of signal timings, which are expressed through mobility, (surrogate) safety, and environmental factors, are optimized by use of an evolutionary algorithm. The study uses a segment of 5 signalized intersections in West Valley City, Utah, to test signal timings which provide a balance between mobility, safety and environment. In addition, a set of previous developed signal timing scenarios, including some of the Connected Vehicle technologies such as GLOSA, were conducted to evaluate the quality of the 3-dimensional Pareto front solutions. The results show success of 3-dimensinal Pareto fronts moving towards optimality. The resulting signal timing plans do not show large differences between themselves but all improve on the signal timings from the field, significantly. The commonly used optimization of standard single-objective functions shows robust solutions. The new set of Connected Vehicle technologies also shows promising benefits, especially in the area of reducing inter-vehicular friction. The resulting timing plans from two optimization sets (constrained and unconstrained) show that environmental and safe signal timings coincide but somewhat contradict mobility. Further research is needed to apply similar concepts on a variety of networks and traffic conditions before generalizing findings.