浅议绿色图书馆的建设

绿色图书馆的提出、发展及其推广,是社会经济发展到一定阶段的产物。文章从"绿色环境、绿色服务、绿色馆藏、绿色管理"四个方面探讨了如何将图书馆创建成一个绿色的图书馆。     

A model for prediction of the transient rolling resistance of tyres based on inner-liner temperatures

Measurements of rolling resistance in thermal equilibrium of a tyre, like measurements according to ISO 28580, do not allow statements about rolling resistances under other driving conditions. Such statements, however, are necessary to determine the energy consumption in driving cycles. Especially for the proper calculation of electric-vehicle remaining ranges and the selection of the respective driving strategies, the real amount of energy consumption is required. This paper presents a model approach, which by means of only one standardised rolling resistance measurement can be parameterised and, considering the present driving speed and tyre temperature, can predict the respective current rolling resistance.     

隧道内横向偏置火源火灾烟气温度特性全尺寸试验研究

为了研究隧道内火灾温度分布规律和烟气运动状态,使交通隧道火灾灾害降到最低,通过全尺寸隧道火灾试验研究了热释放速率为30 MW火源位于偏离横向中心位置一个车道宽度条件下的顶棚射流的烟气温度特征,分析了烟气在各阶段的温度分布以及沿横向和纵向扩散的规律。结果表明：在火源下游一定区域内,偏置火源火灾产生的烟气在沿隧道横向和纵向扩散温度分布均呈非对称形态;烟气继续沿纵向扩散一段距离后,逐渐出现和形成温度分层;偏置火源顶棚射流的温升趋势随时间呈二次多项式关系增长,远壁面烟气沉降高度和温度衰减幅值大于相应中心火源的试验值;与中心火源的相似,火源在下游30 m内的顶棚射流温升随纵向距离的增加符合指数衰减规律,但同时还受到偏置距离的影响;可使用量纲一的偏距与量纲一的纵向距离的函数关系式描述其分布规律。     

大跨度钢箱梁斜拉桥中跨合龙关键技术

以4座主跨超过400 m的钢箱梁斜拉桥中跨合龙控制为背景,对大跨度钢箱梁斜拉桥中跨合龙的2种方法进行对比分析,对合龙各主要工序的关键技术进行研究。提出了合龙段配切长度的计算公式和合龙口宽度连续观测的测点布置方式。建议:在调整好合龙口姿态后可不加压重,也可不采用临时劲性骨架锁定;采用无线采集设备采集合龙口结构的温度场,用激光测距仪测量合龙口宽度以提高观测效率和安全性;在悬臂施工阶段关注梁长累计误差并通过调整后续梁段的制造长度消除之。     

TLA/SBR复合改性沥青性能试验研究

为了改善特立尼达湖沥青(简称TLA)改性沥青低温抗裂性,提出用丁苯橡胶(SBR)对其改性,期望综合两种改性剂的优点。对不同掺量的TLA与SBR复合改性沥青进行了常规试验(针入度、软化点、延度、旋转粘度)、DSR试验、BBR试验,并测试了短期老化与长期老化后的残留针入度比,研究TLA与SBR掺量对高、低温性以及抗老化性能的影响。研究结果表明:①掺入SBR与TLA均能改善沥青的高温抗变形能力和感温性,对比TLA,SBR对沥青高温性能的改善效果更显著;②TLA对复合改性沥青的低温性能有不利影响,但掺入SBR可以抵消这种不利影响;③掺加5%~20%的TLA能改善复合改性沥青的抗老化性能,在此TLA掺量下,SBR也能改善沥青的抗老化性能。④综合高、低温性能和老化性能的表现,最佳掺量为20%的TLA+3%的SBR。     

Comparing different contour methods with response-based methods for extreme ship response analysis

Environmental contours are often applied in probabilistic structural reliability analysis to identify extreme environmental conditions that may give rise to extreme loads and responses. They facilitate approximate long term analysis of critical structural responses in situations where computationally heavy and time-consuming response calculations makes full long-term analysis infeasible. The environmental contour method identifies extreme environmental conditions that are expected to give rise to extreme structural response of marine structures. The extreme responses can then be estimated by performing response calculations for environmental conditions along the contours.Response-based analysis is an alternative, where extreme value analysis is performed on the actual response rather than on the environmental conditions. For complex structures, this is often not practical due to computationally heavy response calculations. However, by establishing statistical emulators of the response, using machine learning techniques, one may obtain long time-series of the structural response and use this to estimate extreme responses.In this paper, various contour methods will be compared to response-based estimation of extreme vertical bending moment for a tanker. A response emulator based on Gaussian processes regression with adaptive sampling has been established based on response calculations from a hydrodynamic model. Long time-series of sea-state parameters such as significant wave height and wave period are used to construct N-year environmental contours and the extreme N-year response is estimated from numerical calculations for identified sea states. At the same time, the response emulator is applied on the time series to provide long time-series of structural response, in this case vertical bending moment of a tanker. Extreme value analysis is then performed directly on the responses to estimate the N-year extreme response. The results from either method will then be compared, and it is possible to evaluate the accuracy of the environmental contour method in estimating the response. Moreover, different contour methods will be compared.     

完整街道扫描仪:智慧城市人居环境感知新技术

完整街道扫描仪以连通为目的构建,以移动载具的形式在未来城市的路网中部署、载人运行,借助其上搭载的传感器、车联网功能扩展出对交通流、街道环境、行人进行扫描、记录、分析、影响的能力,成为一种面向未来智慧城市的人居环境感知系统。当完整街道扫描仪成规模部署后,其作用将不仅限制于交通领域,还将深入参与进共享经济、数据安全、城市发展规划,有潜力成为一种新的经济发展模式。本文聚焦从单车智能到人居环境智能的城市管理智能化维度需求演变,从未来交通管理、未来城市管理与数字经济产业支撑三个方向对完整街道扫描仪满足未来智慧城市的需求进行阐述。同时,也总结出了完整街道扫描仪的原型系统概念模型,以及已搭建进行的示范应用。     

Dynamic diurnal social taxonomy of urban environments using data from a geocoded time use activity-travel diary and point-based business establishment inventory

In this paper, we explore the diurnal dynamics of joint activity participation in a small city in Pennsylvania, USA, using behavioral data and an inventory of business establishments. We account for the variation caused by the collective impact of social, temporal and spatial choices of individuals to produce predicted space–time visualizations of activity participation. The focus is on how social contexts of an activity impact the temporal and spatial decisions regarding the activity locations and how this impact varies depending on activity types. A comparison across activity types and social interaction types is made among spatial patterns during a day. The CentreSIM dataset, which is a household-based activity diary survey collected in Centre County (Pennsylvania, USA) in 2003, provides very detailed social interaction information enabling the analysis of social, spatial and temporal aspects of activity participation. In this paper we use this information to develop a spatio-temporal interpolation method and demonstration based on kriging. In this way, we extract the dynamic social taxonomy of places from the behavioral information in the dataset and suggest how urban and transportation models can be informed from the dynamics of places by observing “what is taking place” (activities being pursued in the context of this paper) combined with “what exists” (business establishments) or “what is available” (businesses that are open). The method here can also be used to improve the design of urban environments (e.g., filling gaps in desired activity locations), manage specific places (e.g., extending the opening and closing times of businesses), study transportation policies that are sensitive to time of day (e.g., pricing of parking to discourage crowding and traffic congestion), and modeling of spatio-temporal decisions of social activities in travel demand models (e.g., to guide the development of model specification and representation of the space in which behavioral models are applied).     

Promoting public bike-sharing: A lesson from the unsuccessful Pronto system

In 2014, Seattle implemented its own bike-sharing system, Pronto. However, the system ultimately ceased operation three years later on March 17th, 2017. To learn from this failure, this paper seeks to understand factors that encourage, or discourage, bike-sharing trip generation and attraction at the station level. This paper investigates the effects of land use, roadway design, elevation, bus trips, weather, and temporal factors on three-hour long bike pickups and returns at each docking station. To address temporal autocorrelations and the nonlinear seasonality, the paper implements a generalized additive mixed model (GAMM) that incorporates the joint effects of a time metric and time-varying variables. The paper estimates models on total counts of pickups and returns, as well as pickups categorized by user types and by location. The results clarify that effects of hilly terrain and the rainy weather, two commonly perceived contributors to the failure. Additionally, results suggest that users in the University District, presumably mostly university students, tend to use shared bikes in neighborhoods with a higher household density and a higher percentage of residential land use, and make bike-sharing trips regardless workdays or non-workdays. The paper also contributes to the discussion on the relationship between public transportation service and bike-sharing. In general, users tend to use bike-sharing more at stations that have more scheduled bus trips nearby. However, some bike-sharing users may shift to bus services during peak hours and rainy weather. Several strategies are proposed accordingly to increase bike ridership in the future.     

低排量下并联甩泵分析与对策

乌鄯原油支干线乌鲁木齐输油首站低排量下给油泵特殊工况并联运行极易出现甩泵故障,给输油生产带来困扰和设备危害。通过对几年来甩泵分析,找出原因,制定对策（提高来油温度、缩小过滤器差压报警值、流量计并行、降低外输排量等）,减少了并联运行次数,避免了并联甩泵现象的再次发生,为密闭输油生产中合理配泵提供参考。