软土刀具的磨损预测——一种研究刀具磨损系统中主要影响因素的新方法

硬岩隧道掘进机的性能很大程度上取决于其切削刀具的磨损情况。刀具的磨损会降低掘进速度,进而导致掘进时间延长、项目成本增加。通常在隧道项目的规划阶段使用预测模型来进行磨损预测,而常规的磨损试验对磨损系统的考虑还不够准确,并没有考虑到刀具/土体的相互作用、周围介质（水、膨润土）以及掘进过程中的荷载等因素。针对该问题,专门设计了一个水平放置的磨损试验设备。本文介绍了该试验方法,研究并讨论了磨损系统相关因素对磨损率的影响。结果表明,该设备可模拟真实的掘进过程,很好地解决了上述问题,达到了高效、准确预测磨损的效果。     

采用机械涡轮复合增压系统优化7.8L柴油机的稳态效率和排放性能

与传统的涡轮增压器或机械增压器相比,内燃机采用机械涡轮复合增压系统具有更多优势.机械涡轮复合增压系统将机械增压、涡轮增压和驱动耦合装置集成在一起,通过涡轮轴和连续可变传动机构(CVT)之间双向传递扭矩的高速驱动系统,能够在涡轮轴和发动机曲轴之间实现对总传动比的控制.由于避免了超速和涡轮迟滞的限制,涡轮的高效设计成为可能...     

Analysis of Ground Response and Structure Stress Induced by PBA Method北大核心CSCD

The application of prefabricated tunnel technology has been become a new research field both in China and abroad. Based on the running tunnel between Yufuhe station and Wangfuzhuang station of Jinan rail transit line R1, a new prefabricated tunnel construction technology, the PBA method is presented. This paper makes a detailed discussion on section form, supporting scheme and construction process of the PBA method. In this study, 3D a new 3D numerical model for PBA method is presented by finite difference numerical simulation software Flac and the construction processes are modeled. The rule of ground surface settlement, ground deformation and structural stress caused by PBA method is studied in detail. Results show that the structure of PBA method can effectively control the deformation magnitude and scope. Stress concentration appears at the prefabricated connection parts and the reinforcement needs to check. The total assembled structure forms the load-bearing system after the completion of the lateral wall. The built-in depth of the precast pile and pile bottom grouting quality should to be ensured to control the displacement of the precast piles. The results of this study will be a useful reference for similar projects in the future. © 2018, Editorial Office of "Modern Tunnelling Technology". All right reserved.     

Modelling the impact of weather conditions on active transportation travel behaviour

Three weather sensitive models are used to explore the relationship between weather and home-based work trips within the City of Toronto, focusing on active modes of transportation. The data are restricted to non-captive commuters who have the option of selecting among five basic modes of auto driver, auto passenger, transit, bike and walk. Daily trip rates in various weather conditions are assessed. Overall, the results confirm that impact of weather on active modes of transportation is significant enough to deserve attention at the research, data collection and planning levels.     

The Gini index of demand imbalances in public transport

Transportation - The paper studies a general bidirectional public transport line along which demand varies by line section. The length of line sections also varies, and therefore their contribution...     

Railway wheel-flat detection and measurement by ultrasound

This work presents an innovative ultrasound technique designed to detect and quantify flats formed in the rolling surface of railway wheels. Differently from other approaches, ultrasonic pulses (Rayleigh waves) are sent over a measuring rail. The variations in the round-trip time of flight (RTOF) of the ultrasound pulse to the rail-wheel contact point allow detecting and quantifying the wheel-flats. In spite of the wear state of the irregularity, the method provides the loss of material and the length of the flat originally formed by abrasion. A theoretical background supports the technique which offers many advantages for railway maintenance. Simulations and experimental results match the expected ones.     

Influence of vehicle driving parameters on the noise caused by passenger cars in urban traffic

In this work, a sample of vehicles has been instrumented to measure of variables that influence vehicle noise emissions in Madrid. A circuit reproducing a normal travel pattern in large city is traveled by a fleet of vehicle models representing the fleets of cars in a European city. A sample of drivers covers the test track under different traffic conditions. Driving parameters and noise emitted have been recorded in each test and average values have been extracted. These data have been analyzed to define the noise emissions produced by a vehicle in real driving conditions and to identify the noisiest driving behaviors.