Adoption of alternative fuel vehicles: Influence from neighbors,family and coworkers

During the last years, many governments have set targets for increasing the share of biofuels in the transportation sector. Understanding consumer behavior is essential in designing policies that efficiently increase the uptake of cleaner technologies. In this paper we analyze adopters and non-adopters of alternative fuel vehicles (AFVs). We use diffusion of innovation theory and the established notion that the social system and interpersonal influence play important roles in adoption. Based on a nationwide database of car owners we analyze interpersonal influence on adoption from three social domains: neighbors, family and coworkers. The results point primarily at a neighbor effect in that AFV adoption is more likely if neighbors also have adopted. The results also point at significant effects of interpersonal influence from coworkers and family members but these effects weaken or disappear when income, education level, marriage, age, gender and green party votes are controlled for. The results extend the diffusion of innovation and AFV literature with empirical support for interpersonal influence based on objective data where response bias is not a factor. Implications for further research, environmental and transport policy, and practitioners are discussed.     

北京新机场线一期8.8m直径隧道盾构选型研究

依托北京新机场线一期工程07标段,从刀盘类型、刀盘驱动设备、刀具型式、刀具布置、渣土改良系统和同步注浆系统等方面对盾构选型进行研究。通过分析工程特点、总结以往工程经验、理论计算等方法得出结论:在全断面砂卵石地层中,辐条式刀盘适应性更佳;先行刀与刮刀组合的破岩方式以及先行刀的高差设置,有利于盾构掘进开挖土体;渣土改良材料注入口布置应充分考虑地质条件。     

Customizing driving cycles to support vehicle purchase and use decisions: Fuel economy estimation for alternative fuel vehicle users

Wider deployment of alternative fuel vehicles (AFVs) can help with increasing energy security and transitioning to clean vehicles. Ideally, adopters of AFVs are able to maintain the same level of mobility as users of conventional vehicles while reducing energy use and emissions. Greater knowledge of AFV benefits can support consumers’ vehicle purchase and use choices. The Environmental Protection Agency’s fuel economy ratings are a key source of potential benefits of using AFVs. However, the ratings are based on pre-designed and fixed driving cycles applied in laboratory conditions, neglecting the attributes of drivers and vehicle types. While the EPA ratings using pre-designed and fixed driving cycles may be unbiased they are not necessarily precise, owning to large variations in real-life driving. Thus, to better predict fuel economy for individual consumers targeting specific types of vehicles, it is important to find driving cycles that can better represent consumers’ real-world driving practices instead of using pre-designed standard driving cycles. This paper presents a methodology for customizing driving cycles to provide convincing fuel economy predictions that are based on drivers’ characteristics and contemporary real-world driving, along with validation efforts. The methodology takes into account current micro-driving practices in terms of maintaining speed, acceleration, braking, idling, etc., on trips. Specifically, using a large-scale driving data collected by in-vehicle Global Positioning System as part of a travel survey, a micro-trips (building block) library for California drivers is created using 54 million seconds of vehicle trajectories on more than 60,000 trips, made by 3000 drivers. To generate customized driving cycles, a new tool, known as Case Based System for Driving Cycle Design, is developed. These customized cycles can predict fuel economy more precisely for conventional vehicles vis-à-vis AFVs. This is based on a consumer’s similarity in terms of their own and geographical characteristics, with a sample of micro-trips from the case library. The AFV driving cycles, created from real-world driving data, show significant differences from conventional driving cycles currently in use. This further highlights the need to enhance current fuel economy estimations by using customized driving cycles, helping consumers make more informed vehicle purchase and use decisions.     

基于内燃动车组的混合动力匹配设计研究

针对内燃动力轨道交通在实际应用中存在的不足以及当前主要新能源技术发展现状,文章结合某内燃动车组的总体参数和配置情况,将内燃机组匹配蓄电池的混合动力方案与纯内燃机组方案进行对比分析,并对混合动力选型和配置进行了计算和分析。结果表明,混合动力匹配方案在降低整车能耗和节省燃油消耗等方面有着显著的优势。     

复杂载荷下裂纹SIF计算的子模型技术

对船舶与海洋工程结构物进行疲劳评估,首先要通过子模型技术解决复杂应力场中裂纹应力强度因子(SIF)的计算问题。针对子模型技术实现过程繁杂且效率较低的问题,分别提出"逐周分层法","转换矩阵法"及"映射划分法"并基于VBA及APDL语言编写插件MPCarrangerV1.0,FEMcoortransferV1.0及CrackmapperV1.0,解决从Patran整体有限元模型到Ansys子模型时壳体单元间MPC创建低效、不同坐标系间节点位置转换困难及裂纹自由划分的局限性问题。基于DNV及ABS相关规范,以某B型LNG燃料舱的疲劳热点为例,对改进的子模型技术进行验证,结果表明经改进的子模型技术可成功施加合理边界条件并实现SIF的求解,可为子模型技术快速实现复杂载荷下裂纹SIF的准确计算提供参考。     

Structural safety assessment procedure for membrane-type LNG CCS considering hydroelasticity effect

As environmental regulations have become more onerous, the demand for LNG and LNG carriers has increased. The LNG cargo containment system (LNG CCS) is one of the most important facilities in LNG carriers, and many membrane types of LNG CCS have been developed so far. Traditionally, sloshing model tests are performed and a series of statistical approaches are used to obtain design sloshing pressures. Then, these design loads are utilized to analyze the structural safety of LNG CCS. In the sloshing model test, the flat and almost rigid plate is used as the LNG CCS instead of a real model, and thus, the hydroelasticity effect cannot be considered. In the present research, the effect of hydroelasticity on sloshing pressure was investigated in a fluid-structure interaction simulation. A wet drop simulation was conducted, and its results subsequently were compared with wet drop experimental test results to ensure their validity. Then, two types of structure model, namely a flat-rigid plate model and a flat-flexible CCS model, were generated to investigate the effect of hydroelasticity. Also, a fluid hitting analysis model was devised to realize the sloshing phenomenon, and the two generated structure models were applied as the structure domain in the analysis. In the fluid hitting simulations, it was found that the hydroelasticity effect on sloshing pressure is significant. Thus, correction factors, which are quantitative values of the effect of hydroelasticity, were derived (and are proposed herein). Finally, a structural safety assessment procedure for consideration of the hydroelasticity effect was derived (and is suggested herein).     

基于生长曲线函数的货车运营环节碳达峰研究

货车是我国大气环境污染的重要来源之一，也是影响我国碳达峰总体目标实现的重要因 素。本文从货车运营环节入手，在运用生长曲线函数对货车保有量进行预测的基础上，对不同类 型货车的保有量和单车碳排放变化进行研究，并从货车节能技术发展、新能源货车推广和应用进 程两方面入手，分3种情景对货车运营环节中产生的碳排放总量趋势进行预判，推演货车运营环 节的碳达峰时间。研究结果表明，只有同时加快货车节能技术发展以及新能源货车推广和应用 进程，货车运营环节中产生的碳排放总量规模才能得到有效抑制并逐渐减少。若到 2030 年货 车单车燃料消耗水平较 2019 年降低 20%以上，新能源货车在货车整体保有量中的占比达到 20%，到 2060 年货车单车燃料消耗水平较 2019 年降低 50%，新能源货车占比达到 50%，则货车 运营环节碳达峰时间将缩短至2030年左右实现，2030年后货车运营环节产生的碳排放总量规 模将逐渐减少。     

LNG码头应急通道与应急锚地研究

本文针对LNG应急逃离情况以及国内LNG应急锚地使用现状,总结分析国内、外LNG应急锚地布置情况;结合江苏滨海LNG码头通航条件,提出LNG应急通道及应急锚地三种布置方案,通过操船模拟试验论证比选并得出结论,供类似工程参考。     

中国TBM施工技术进展、挑战及对策

总结我国近30年来TBM设计与施工技术的发展历程,可归纳为以下5个阶段:1)研发探索和试用阶段;2)以国外施工承包商为主体,采用国外设计制造TBM施工我国隧道工程阶段;3)独立进行TBM招标采购和选型设计,并建立起自主的TBM施工队伍阶段;4)与国外厂家联合设计制造TBM,工程应用和自主施工快速发展阶段;5)实现TBM国产化,面向国内外TBM工程市场自主施工阶段。通过我国不同时期TBM施工的典型工程,介绍我国在复杂地质、大坡度、高海拔、不同直径、不同机型、超长隧洞TBM施工方面取得的经验、技术积累和业绩,展示我国TBM在穿越断层破碎带、软弱变形、岩爆、涌水等不良地质洞段取得的一系列施工新技术,以及最高月进尺1 868 m、平均月进尺超过600 m和掘进作业利用率超过40%的掘进技术水平。分析TBM在极硬岩、大断层破碎带、软弱大变形围岩、强岩爆围岩、涌水突泥洞段、高地热隧洞和超长隧洞工程中施工面临的风险和挑战,并提出一些相应的技术措施和对策,期望这些措施和对策在未来大量实际工程中进一步得到实践验证、优化和改进,不断积累和创新TBM设计与施工新技术。