The Reinforcement Analysis of Prestressed Anchor Frame Beam in the Deep Cutting Slope under Three Dimensional Strong EarthquakeEI北大核心

Research purposes: In order to further study the reinforcement of prestressed anchor frame beam in the deep cutting slope under three dimensional strong earthquake, a model of the deep cutting slope is built through FLAC 3D simulation software, the seismic wave to the model from three directions of x,y and z is input, and the dynamic response of the slope is analyzed. Then, the prestressed anchor frame beam reinforcement measures are applied to the model, and this paper analyzes the reinforcement effect of the prestressed anchor frame beam to the deep cutting slope under three dimensional strong earthquake. Research conclusions:(1) The prestressed anchor frame beam has a good effect on restraining the horizontal displacement of the deep cutting slope. (2) Under the three dimensional strong earthquake, the prestressed anchor frame beam has a good effect on the horizontal acceleration and horizontal velocity of the deep cutting slope, which reduces the peak of horizontal acceleration and horizontal velocity. (3) Through the comparison of the response before and after the reinforcement of the prestressed anchor frame beam is given under the 9 degrees three dimensional strong earthquake, it can be concluded that the prestressed anchor frame beam can provide good reinforcement effect to the deep cutting slope. (4) This research can be used for reference to the earthquake resistance of the slope engineering. © 2018, Editorial Department of Journal of Railway Engineering Society. All right reserved.     

铁路通信信号电源视频监控技术的应用及分析

结合工程实际,对铁路通信信号电源视频监控系统进行了全面介绍和分析,对工程中存在的问题通过试验分析得出针对性的解决方案,并就铁路电力视频监控技术的发展进行有益的探讨。     

地铁安全风险管理工作的实施与评述

根据城市轨道交通安全风险的特点,从技术和管理角度,介绍北京地铁9号线施工准备期及施工阶段安全风险管理工作的实施情况;对相关工程经验进行总结与评述,提出新建地铁施工中进一步加强安全风险管理工作的建议。     

地铁车站装配式铺盖体系设计

论述北京地区首次在地铁9号线丰台北路站应用装配式铺盖体系。从结构计算方法、荷载选取、方案设计、铺盖板的设计及试验和支撑体系计算等方面,系统阐述装配式铺盖体系的设计要点。实践表明,装配式铺盖法能够有效降低地铁施工对周边环境和交通的影响,临时路面效果理想,同时大部分构件能够重复利用,具有良好的经济性与适用性。     

北京地铁9号线通风空调系统节能示范

作为北京市城市轨道交通节能示范线,在北 京地铁 9 号线实际工程建设中,对通风空调系统运行 模式与自动控制优化、直接蒸发式空调系统、空气—水 通风空调系统以及集成冷冻站等多项节能技术进行探 索与示范应用。通过对这些技术的节能原理、应用方 案以及使用效果的分析与介绍,为今后相关工程的建 设提供技术借鉴与参考。     

Investigation of tailpipe and evaporative emissions from China IV and Tier 2 passenger vehicles with different gasolines

The limited understanding of vehicular emissions in China, especially evaporative emissions, is one obstacle to establishing tighter standards. To evaluate tailpipe and evaporative emissions, two typical China IV vehicles and one Tier 2 vehicle with an onboard refuelling vapour recovery (ORVR) system were selected and tested. One of the China IV vehicles was fuelled with gasoline, E10 and M15, respectively, to investigate the effect of fuel properties on vehicular emissions. For each vehicle, cold-start tailpipe emission tests were conducted first, followed by an evaporation test. Based on the emission factors and real-world vehicle activity data, the annual tailpipe and evaporative hydrocarbon (HC) emissions of each vehicle were calculated and compared. The results show that E10 and M15 significantly reduced the tailpipe CO and particle number (PN) emissions but seriously aggravated the NOx emissions, especially for M15. The hot soak losses (HSLs) and diurnal breathing losses (DBLs) were slightly impacted by the fuel properties. The annual evaporative emissions with E10 and M15 were higher than that with gasoline. The ORVR system effectively controlled the evaporative emissions, especially for DBLs. Evaporative emissions from the China IV vehicles were 1.1–1.4 times the tailpipe HC emissions. Additionally, the evaporative emission factors of the China IV vehicles were almost 50% lower than the standard (2.0 g/test), whereas their annual evaporative emissions were almost 1.8–2.8 times higher than those from the Tier 2 vehicle. Therefore, controlling evaporative emissions currently remains a great need in China, and the ORVR might be a recommended evaporative control technology.     

Estimation of extreme significant wave heights and the associated uncertainties: A case study using NORA10 hindcast data for the Barents Sea

The reliability of an offshore structure is dependent on its response to the extreme wave climate; therefore, an adequate knowledge of the wave climate at a location is a prerequisite during design as well as in marine operations. This study aims to contribute to the knowledge of the extreme wave climate in the Norwegian Sector of the Barents Sea, using wave hindcast datasets from the Norwegian Reanalysis 10 km (NORA10) database for four locations.We have considered three commonly used methods for the estimation of extreme wave heights, that is, the initial distribution method, the peak over threshold method, and the annual maxima method. The parametric bootstrap concept is considered in the estimation of the epistemic uncertainty related to sample size. The estimated 100-year significant wave heights obtained from the three methods differ, and the degree of variability in the estimates varies, depending on the dataset. The epistemic uncertainty due to sample size is wider when considering the annual maxima method.The estimates obtained from the three methods show the importance of considering different methods and their associated uncertainties when estimating extreme wave values for design. While it is difficult to single out the best method among the three, the estimated values give knowledge of the possible range of the extreme significant wave heights at the locations. Generally, the datasets considered in this study suggest that the wave climate is less harsh further north compared to the southern region of the Barents Sea. The datasets do not suggest any temporal trends in the historical significant wave heights at any of the locations.     

Data dependent input control for origin–destination demand estimation using observability analysis

In this paper, we address the observability issue of static O–D estimation based on link counts. Unlike most classic observability analyses that relied only on network topological relationships, our analysis incorporates the actual values of input parameters, thus including network operational relations as well. We first analyze possible mathematical properties of an O–D estimation problem with different data input. We then propose a modeling approach based on mixed-integer program for selecting model input that ensures observability and estimation quality. Through establishing a stronger connection between observability analysis and the corresponding estimation problem, the proposed method aims to improve estimation quality while reducing reliance on erroneous data.     

Validating and improving public transport origin–destination estimation algorithm using smart card fare data

Smart card data are increasingly used for transit network planning, passengers’ behaviour analysis and network demand forecasting. Public transport origin–destination (O–D) estimation is a significant product of processing smart card data. In recent years, various O–D estimation methods using the trip-chaining approach have attracted much attention from both researchers and practitioners. However, the validity of these estimation methods has not been extensively investigated. This is mainly because these datasets usually lack data about passengers’ alighting, as passengers are often required to tap their smart cards only when boarding a public transport service. Thus, this paper has two main objectives. First, the paper reports on the implementation and validation of the existing O–D estimation method using the unique smart card dataset of the South-East Queensland public transport network which includes data on both boarding stops and alighting stops. Second, the paper improves the O–D estimation algorithm and empirically examines these improvements, relying on this unique dataset. The evaluation of the last destination assumption of the trip-chaining method shows a significant negative impact on the matching results of the differences between actual boarding/alighting times and the public transport schedules. The proposed changes to the algorithm improve the average distance between the actual and estimated alighting stops, as this distance is reduced from 806 m using the original algorithm to 530 m after applying the suggested improvements.     

大鼠弥漫性轴索损伤后大脑皮层rab10的表达及意义

目的研究大鼠弥漫性轴索损伤(diffuse axonal injury,DAI)后小G蛋白rab10在大脑皮层的表达变化规律,探讨DAI后rab10在神经修复中的作用及意义。方法采用头颅瞬间旋转损伤装置建立大鼠DAI模型,随机分为1d、3d、7d组及对照组。采用Gless嗜银染色和TUNEL染色分别观察DAI后神经轴索形态和凋亡变化;采用Western blot、免疫组化等方法检测大鼠大脑皮层rab10的分布及表达,并采用免疫荧光双标染色分析大脑皮层神经元内rab10的表达变化。结果嗜银染色显示DAI后1d神经轴索形态损伤最严重,3~7d时损伤逐渐减轻;TUNEL染色显示DAI后1d凋亡细胞数开始升高,3~7d时凋亡数量更高,呈迟发性改变。Western blot及免疫组化结果均提示DAI后1d大脑皮层rab10的表达显著增加,3d后稍降低,7d后明显降低,但仍高于正常(P<0.05);免疫荧光双标染色提示正常神经元内几乎不表达rab10,DAI后神经元内rab10表达在1~3d较高,7d时较前降低。结论大鼠DAI后大脑皮层rab10表达水平先增加,随后降低;神经元内rab10的表达变化可能与DAI后神经轴索修复有关。