汽车齿轮油的发展与选用

汽车齿轮油用于机械式变速器，驱动桥和轴向器的齿轮润滑，它起到润滑、冷却，防锈及缓冲的作用。首先，介绍了国内外汽车齿轮油的分类和发展趋势，其次，介绍了齿轮油的澜性和抗磨性，低温操作性和粘温性，热氧化安全性，抗腐蚀性和防锈性，另外，介绍了齿轮油的选用。     

混凝土元损检测十年和十七年龄期回归方程的比较与合并

本文通过对十年和十七年龄期混凝土各种检测方法回归方程的比较，强度等级高的混凝土试件碳化深度浅，回弹值和强度具有很好的相关性。强度等级低的混凝土试件，回弹值和强度相关性较差，而碳化对强度的相关性显著。混凝土试件的回弹值和碳化深度值对强度的相关性具有互补性，而混凝土试件的超声声速值与碳化深度值则没有这样的互补性质。通过分析比较，在混凝土强度的现场回弹法检测中，龄期超过十七年的混凝土也可以采用十七年龄期的回归方程。     

Asymptotic calculation of wave period statistics in non-Gaussian mixed sea

This article concerns the calculation of the wave period probability densities in non-Gaussian mixed sea states.The calculations are carried out by incorporating a second order nonlinear wave model into an asymptotic analysis method which is a novel approach to the calculation of wave period probability densities.Since all of the calculations are performed in the probability domain,the approach avoids long time-domain simulations.The accuracy and efficiency of the asymptotic analysis method for calculating the wave period probability densities are validated by comparing the results predicted using the method with those predicted by using the Monte-Carlo simulation(MCS) method.     

秦皇岛港煤五期翻车机房工程综合抗渗防裂技术

针对秦皇岛港煤五期翻车机房工程,通过若干项新技术应用、技术改进,控制关键环节,对大体积超长混凝土结构采取了切实可行的抗渗防裂措施。施工后经过2年的观察证明,没有发现有害裂缝发生,基本达到不渗不漏。     

波浪补偿稳定平台运动响应位移测量数据处理方法研究

针对光纤位移传感器动态范围窄的问题,设计一种结构简单、易于制备的气球形长周期光纤光栅（LPFG）位移传感器。

采用RSOFT软件进行仿真与优化,得到光纤在不同曲率下的光谱形态,以此来确定测量区间。通过将多模光纤周期性嵌入单模光纤形成的气球形长周期光纤光栅 （MMF-BLPFG）,提供用于测量位移的参考峰。使用精密的连续切割装置作为实验基础,制备与仿真结果一致的实验样品进行测试。

通过测量2个谐振峰的漂移,实现了36 mm的最大位移测量范围。

该研究成果在舰船水下疏水空间管系的稳定性测量和连续监测等需要大规模测量的场景中具有良好的应用潜力。

     

车市波动规律的新发展

为分析中国车市当前发展趋势,给汽车产销单位和领导机关决策提供参考,文章采用“车市波动分析法”,从宏观经济与车市波动关系入手,进行数据处理,作出车市波动图和数据表。分析研究后得出以下结论：中国车市2009年底已进入“第6次扩张高峰期”,达到创纪录的新水平,但后继波动恐难避免。文章根据中国车市发展实际提出波形组成内容变化新建议。     

基于拉姆塞定价理论的城市轨道交通多时段定价模型研究

针对城市轨道交通早晚客流高峰现象,从研究国内外轨道交通的票价制定现状入手,分析了多时段定价在城市轨道交通中实施的必要性.介绍了高峰定价法在城市轨道交通票价制定中的适用性与合理性,根据城市轨道交通不同时段的客流特点引入时间权重系数,在拉姆塞定价理论的基础上建立城市轨道交通的多时段定价模型,并通过算例验证其适用性,同时也为我国城市轨道交通票价制定提出了建议.     

An assessment of the performance of the European long intermodal freight trains (LIFTS)

Intermodal rail/road freight transport has always been considered as a competitive alternative to its road freight counterpart in the European medium- to long-distance corridors (markets). Such consideration has been based on the increasing competitiveness of some innovative rail services and the existing and prospective performance of both modes in terms of the full social – internal or operational and external – costs. The most recent innovation of rail technologies and related services launched by some European railway companies, still at the conceptual level, is the Long Intermodal Freight Train (LIFT). This is supposed to be a block train operating in long-distance corridors (markets) with a substantial and regular freight demand.This paper develops analytical models for assessing the performance of the LIFTs, the already-operating Conventional Intermodal Freight Trains (CIFTs), and their road counterpart as well. The performance consists of the full – internal (private) and external – costs of the door-to-door delivery of loading units – containers, swap-bodies, and semi-trailers. The internal costs embrace the operational costs of the transport (rail and road) and intermodal terminal operators. The external costs include the costs of the impacts of door-to-door delivery of loading units on society and the environment. These negative externalities include noise, air pollution, traffic accidents, and congestion.The models are applied to a simplified version of intermodal and road transport system using inputs from the European freight transport sector. The aims are to compare the full costs of particular modalities in order to investigate the potential of the LIFTs as compared with the CIFTs in improving the internal efficiency of the rail freight sector and its competitiveness with respect to its road counterpart. In addition, the paper attempts to assess some effects on the potential modal shift of EU (European Union) transport policies on internalizing transport externalities.     

Performance estimation model of a torque converter part I: Correlation between the internal flow field and energy loss coefficient

The objective of this paper is to improve the performance estimation model of the internal flow field of a torque converter. Compared with performance experiment results, the converter based on the one-dimensional model does not satisfy the performance requirements demanded in practice. Therefore, we need to develop more predictable and reliable performance estimation models. In order to obtain shape information on three-dimensional blade geometry, a process of reverse engineering conducts a torque converter assembly, impeller, turbine and stator. In addition, a CFD simulation including mesh generation and post-processing was carried out to extract equivalent parameters from the internal flow field. The internal flow field can be explained by analyze the correlation between a performance estimation model and CFD analysis. The equivalent performance model adopts the variation of energy loss coefficients for a given operating condition according to the application of a changing energy loss coefficient by the least mean squares method. The estimated equivalent model improves the agreement in performance between experiments and the theoretical model. This model can reduce the error to within about 3 percent. Furthermore, this procedure for predicted performance achieves eminence in the estimation of the capacity factor.     

An ontology-based framework to support performance monitoring in public transport systems

Managers of public transport systems have been facing for years the strategic challenge of maintaining high quality of transport services to improve the mobility of citizens, while reducing costs and ensuring safety and low environmental impact. A well-established way to evaluate the performance achieved by the system or by specific activities is to monitor Key Performance Indicators (KPI). However, existing management systems, which refer to flexible yet large and complex data models, provide a limited support to define and select relevant KPIs for the objectives at hand, and even the identification of whether and how the data model is capable to achieve a certain informative need is a critical and time-consuming task. This work is aimed to propose a framework to ease the development of a monitoring system in the public transport domain. The approach is based on the ontological representation of all the knowledge regarding indicators and their formulas, business objectives, dimension analysis and their relation with the Transmodel, the European reference data model for public transport information systems. On its top, a reasoning framework provides logic functionalities to interactively support designers in a set of common design tasks: the choice of the most suitable indicators for the performance monitoring needs at hand, the definition of new indicators and the identification of the minimal set of Transmodel modules needed to calculate them. A case study is included to discuss these applications, while an evaluation shows the feasibility of the approach.