全液压推土机研究现状与发展趋势

1全液压推土机发展现状与技术特点 1.1全液压推土机国内外发展现状 液压技术和计算机控制技术的不断发展进步,为液压传动赋予了完美的特性与巨大的生命力.近10年来,装载机、沥青摊铺机、混凝土摊铺机、混凝土搅拌运送车、振动压路机等建筑机械的静液化得到了迅速发展.     

汽油机燃油动态特性的标定

在空燃比传输延迟时间和UEGO传感器(宽域氧传感器)响应时间常数确定以后,利用燃油扰动法打破油膜平衡状态,用UEGO传感器记录汽油机混合气空燃比的变化过程,采用最小二乘法对空燃比测量值进行处理,从而得到燃油动态特性参数值。介绍了标定过程及数据处理方法,并对标定结果进行了验证。     

基于W305液力变矩器的系列化设计

以W305液力变矩器为基型,通过试验研究和统计资料,确定了液力变矩器的系列化型谱;利用CFD数值分析软件对W305变矩器内部流场进行分析计算,基于计算结果进行W305液力变矩器的系列化设计;对于有效直径不同的液力变矩器,介绍了与基型变矩器相似设计的方法。     

HEV控制器硬件在环仿真平台的研究与开发

针对控制器传统开发方法中存在的局限性以及混合动力汽车动力传动系统控制的复杂性,应用控制系统现代开发技术,为某型混合动力客车多能源动力总成控制器开发了硬件在环仿真测试平台,该平台包括实时硬件和系统模型、信号调理电路等,并利用它对控制器进行了仿真测试。仿真测试结果与试验结果说明,所开发平台模型的精度基本能够满足仿真测试要求。控制器的环境试验和在EMC试验中的成功应用以及控制器在车上的正常运行,验证了在混合动力汽车多能源动力总成控制器的开发过程中采用自行开发硬件在环仿真测试平台这一技术方案的可行性。     

公路涎流冰的勘察要点与防治措施

论述了公路涎流冰勘察要点,并针对性地提出了涎流冰的防治工程措施,对指导涎流冰地区公路勘察设计工作,提高涎流冰地区公路建设质量和安全运营具有一定的现实意义。     

纤维加筋沥青混合料的设计与施工要点

加筋纤维可以明显提高沥青混合料的各项性能,在经济条件许可的前提下,可适当推广,但在应用过程中应加强设计与施工等方面的控制。从纤维的技术要求、纤维分散性、配合比设计要求及施工控制要点等方面进行了阐述,以期给广大工程技术人员提供参考。     

西江水运主通道通航枢纽建设关键技术研究

文章主要介绍西部项目西江水运主通道通航枢纽建设研究的背景、内容、成果及关键技术,为其他航运枢纽建设提供了设计、决策的依据,其研究成果具有广阔的应用和参考价值。     

黄土连拱隧道两主洞开挖面合理间距研究

山区隧道由于受地形及展线限制,一些较短的隧道常常选用连拱结构型式。通过黄土连拱隧道的三维弹塑性数值模拟,分析了在左洞施工后,右洞施工对左洞的影响规律。对于本工程,黄土连拱隧道的两洞开挖面的合理距离为30 m。推广而言,对于黄土连拱隧道,两洞的开挖距离应为单洞跨度的3倍。     

A multiple discrete-continuous model for independent- and joint-discretionary-activity participation decisions

This paper presents a multiple discrete-continuous econometric structure to model the daily time-investment decisions of couples in solo- and joint-discretionary activities incorporating intra-personal and inter-personal inter-dependencies. The empirical model was estimated using data from the 2000 Bay Area Travel Survey. The results indicate evidence of the positive impact of vehicle availability on independent activity participation and the negative impacts of the presence of children and mandatory time investments on the joint discretionary-activity engagement of the spouses. In addition, we also find the mandatory- and maintenance-activity-participation characteristics of the spouse to influence the discretionary activity choices of individuals. Finally, the analysis also indicates a strong impact of common unobserved factors on the decisions of couples. From a policy analysis perspective, these results imply that demand-management actions directly impacting one adult could also result in changes to the activity patterns of his/her spouse and to changes in joint activity participation characteristics. Dr. Sivaramakrishnan Srinivasan is an Assistant Professor in the Department of Civil and Coastal Engineering at the University of Florida. His research interests include travel-behavior analysis, activity-based travel-demand modeling, and the application of advanced econometric methods for transportation problems. Dr. Chandra R. Bhat has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE).     

Should we abandon activity type analysis? Redefining activities by their salient attributes

This paper poses a challenge and begins a search. The challenge is to reconsider the usefulness of traditional activity types (“work”, “shopping”, etc.) in the understanding and modelling of travel behaviour. The search is for the more salient attributes of activities that may serve to better explain complex travel behaviours—such as activity scheduling and tour formation. In particular, this paper focuses on explicit measures of the spatial, temporal and interpersonal flexibility of activities, along with several traditional attributes (frequency, duration, involved persons, travel time, and location). Data from a recent in-depth week-long activity scheduling survey was used to define and compare these attributes. Results show that considerable variability in the attributes between and within traditional activity groups is evident. This casts considerable uncertainty on assumptions that statically assign levels of spatial, temporal, and interpersonal flexibility to any given activity type. A Principal Components Analysis further revealed eight new distinct clusters of activities that share like attributes. The relative role of each attribute in each component is examined, and subjective interpretations emerged (e.g., “Long and frequent”, “Space and time flexible” “Social networking”). The implications of these results for future model development and research are discussed. Future research should continue to expand the search for salient attributes and link them more directly to decision processes.