船舶尾轴承的变形对其润滑特性的影响研究

在工作载荷和船体变形的共同影响下，船舶尾轴承发生变形并改变了轴承与螺旋桨轴之间的相对位置关系。导致螺旋桨轴轴颈中线与轴承中线之间形成一个变形夹角，这个夹角影响轴承润滑油膜的压力分布和刚度系数．通过对润滑油膜刚度系数的数值计算，分析了轴线问夹角对油膜刚度的影响关系．从计算结果可以得到：随着夹角的增大，油膜刚度kxx，kyy。和kxy。会增大，而交叉刚度kyz，减小，同时夹角只能在一定的角度范围内对油胰刚度产生影响．     

利多卡因对脑缺血再灌注损伤大鼠海马组织细胞间黏附分子-1及核转录因子-κB表达的影响

目的观察利多卡因对大鼠脑缺血再灌注损伤后海马组织细胞间黏附分子-1(ICAM-1)及核转录因子-κB(NF-κB)蛋白和mRNA表达的影响,探讨利多卡因脑保护作用的机制。方法雄性SD大鼠32只,随机分为假手术组(A组)、缺血再灌注组(B组)、利多卡因小剂量组(C组)和利多卡因大剂量组(D组),缺血前10 min腹腔注射。脑缺血10 min再灌注24 h时,断头处死大鼠。用RT-PCR技术检测海马组织ICAM-1及NF-κB mRNA的表达,用免疫组织化学、蛋白印记(Western blot)方法检测ICAM-1及NF-κB蛋白表达情况。结果脑缺血再灌注后海马组织ICAM-1和NF-κB mRNA及蛋白表达水平增高,利多卡因可下调ICAM-1及NF-κB表达;缺血再灌注后,海马区神经元出现明显坏死,利多卡因可减轻海马区神经元损伤。结论利多卡因可能通过抑制ICAM-1与NF-κB基因表达而对脑缺血再灌注损伤起到一定的保护作用。     

超级电容与燃料电池发动机混合动力系统测试研究

构建了包括混合动力系统、负载系统、数据采集系统及控制系统的超级电容与燃料电池混合动力系统测试平台,并对该系统进行了测试试验.测试结果表明,道路仿真软件RLS能有效模拟实际道路工况;超级电容可弥补燃料电池发动机的缺陷;CAN总线技术采集设备的使用提高了数据采集系统的可靠性.该混合动力系统测试平台为燃料电池汽车的开发提供了试验手段.     

Fault tree analysis of fire and explosion accidents for dual fuel (diesel/natural gas) ship engine rooms

In recent years, China’s increased interest in environmental protection has led to a promotion of energy-efficient dual fuel (diesel/natural gas) ships in Chinese inland rivers. A natural gas as ship fuel may pose dangers of fire and explosion if a gas leak occurs. If explosions or fires occur in the engine rooms of a ship, heavy damage and losses will be incurred. In this paper, a fault tree model is presented that considers both fires and explosions in a dual fuel ship; in this model, dual fuel engine rooms are the top events. All the basic events along with the minimum cut sets are obtained through the analysis. The primary factors that affect accidents involving fires and explosions are determined by calculating the degree of structure importance of the basic events. According to these results, corresponding measures are proposed to ensure and improve the safety and reliability of Chinese inland dual fuel ships.     

铝氧化银鱼雷电池段的温度控制

铝氧化银电池是目前应用于鱼雷的重要动力电池,其反应温度关系到鱼雷能否稳定航行,通过电池壳体内外对流换热可控制反应温度。分析了电池流道电解液循环速度、壳体材质对换热的影响。研究表明,可通过降低流道高度进而提高流道内电解液速度、更换导热性良好的壳体材料以增大散热功率,保证散热安全裕量。     

Impact of pricing and transit disruptions on bikeshare ridership and revenue

Transportation - Bikeshare operators routinely explore options to improve ridership and revenue by studying interaction among pricing, service and operations. The objective of this research is to...     

High-Speed Rail Operations on an Existing Network: An Assessment Model for China

High-speed rail operations have the potential to reduce the long-term decline in rail passenger travel demand for the medium to long distance inter-urban markets. Such decline has been evident through most of the industrialized countries where air and road transport tend to be the dominant modes. In China, the operations of long distance high-speed rail on fully dedicated track is not very easy to implement, due to the high proportion of passengers who travel between high-speed and conventional railways. An alternative approach would be to allow for mixed operations with trains of various speeds on the same track. This article puts forward a simulation model designed to allow an evaluation of the most efficient distance for high-speed rail operations under mixed train speed scenarios. The model takes into account the main operating parameters such as passenger volumes, train speeds, capital and maintenance costs, train operating costs and energy consumption. The distance of high-speed train running on conventional rail that will yield the most economic benefit can be estimated using the model. The article includes the results of using the model for a specific example. It is concluded that large-scale high-speed trains have the potential to be successfully operated on conventional rail networks.     

某地铁站运营过渡期区间隧道通风方案分析

某地铁站运营过渡期间,通过对区间隧道通风方案及区间事故工况模拟计算,对比第三方检测单位现场实测区间事故工况下的最小风速,可以得出车站1-车站2区间事故工况下,最小实测风速出现在车站3轨行区位置,与模拟计算位置基本一致,为以后地铁线路设计提供参考。     

Analysis of Metro ridership at station level and station-to-station level in Nanjing: an approach based on direct demand models

A growing base of research adopts direct demand models to reveal associations between transit ridership and influence factors in recent years. This study is designed to investigate the factors affecting rail transit ridership at both station level and station-to-station level by adopting multiple regression model and multiplicative model respectively, specifically using an implemented Metro system in Nanjing, China, where Metro implementation is on the rise. Independent variables include factors measuring land-use mix, intermodal connection, station context, and travel impedance. Multiple regression model proves 11 variables are significantly associated with Metro ridership at station level: population, employment, business/office floor area, CBD dummy variable, number of major educational sites, entertainment venues and shopping centers, road length, feeder bus lines, bicycle park-and-ride (P&R) spaces, and transfer dummy variable. Results from multiplicative model indicate that factors influencing Metro station ridership may also influence Metro station-to-station ridership, varied by both trip ends (origin/destination) and time of day. In comparison with previous case studies, CBD dummy variable and bicycle P&R are statistically significant to explain Metro ridership in Nanjing. In addition, Metro travel impedance variables have significant influence on station-to-station ridership, representing the basic time-decay relationship in travel distribution. Potential implications of the model results include estimating Metro ridership at station level and station-to-station level by considering the significant variables, recognizing the necessity to establish a cooperative multi-modal transit system, and identifying opportunities for transit-oriented development.