一种浮标自由上浮模型试验换算方法

对浮标自由上浮模型试验过程中的受力进行分析,提出一种预报浮标实尺在水下自由上浮过程中最大稳定速度的方法,预报结果与CFD模拟的结果相近.     

基于正交法的磁性Fe3O4纳米颗粒制备工艺选择

采用化学共沉淀法以FeCl3·6H2O,FeCl2·4H2O为原料,氨水为沉淀剂,进行了9组正交试验,探索制备Fe3O4纳米颗粒磁性能的影响因素,利用振动样品磁强计（VSM）和透射电镜（TEM）对磁粉进行表征,利用正交表极差分析找出了最佳制备工艺条件：即A2B1C3D2,去离子水用量为200 mL（Fe3＋为0.1 mol/L）;表面活性剂用量为1 mL;氨水30 mL;[Fe3＋]/[Fe2＋]=1.75时Fe3O4颗粒饱和磁化强度为62.70 emu/g.     

外倾式部分斜拉桥重庆嘉悦大桥锚固结构试验及受力分析

介绍了重庆嘉悦大桥的主梁结构特点,以及该桥的主梁节段空间应力仿真分析结果,并介绍了为验证计算结果所做的主梁一节段1∶3缩尺模型试验的研究情况。从理论和实践上探讨了PC主梁部分斜拉桥采用特殊索梁锚固结构的可行性,以及锚固结构在超大索力作用下的安全性,得到了一些对设计、施工有益的结论和建议。     

房价波动对资本充足率顺周期影响的实证研究

本文研究了房地产市场价格变动对银行资本充足率顺周期性的影响,并对不同类型银行以及在房价上涨和下跌不同阶段,房地产市场价格变动对资本充足率影响的非对称性进行研究。结果表明:(1)房地产价格波动对加剧银行资本充足率顺周期性具有显著影响;(2)房地产价格变动对银行资本充足率顺周期性的影响具有非对称性。     

浅谈钣金展开方法在海洋平台施工中的应用

针对海洋平台构件的特点,介绍了钣金展开方法在平台施工、构件制作中的应用.在分析介绍三种钣金展开方法的基础上,通过几个案例进行了说明,并且作了进一步的探讨.     

等惯性两区段分散输水系统在40 m级单级巨型船闸中的应用*

输水系统是船闸实现其功能的关键设施,其设计直接影响船闸工程的安全与效率。等惯性四区段出水分散输水系统是目前国内外高水头大型船闸常用的输水系统形式,但其结构复杂、建设难度大,且由于设置第二分流口而带来自身空化等问题。为解决上述问题,结合我国内河船闸特点,通过国内外工程资料分析、理论与计算分析、物理模型试验等手段,提出并验证了“闸墙长廊道+闸室中心立体分流+闸底两区段四纵支廊道出水+侧支孔+明沟消能”的等惯性两区段输水系统形式在40 m级单级巨型船闸中的适用性,为高水头大型船闸建设提供参考和依据。     

基于NSCT变换的红外与可见光图像融合方法

针对小波变换不能很好地表达图像边缘信息，NSCT变换对图像细节信息表达缺失的问题，本文提出了一种改进的基于NSCT变换的图像融合方法．首先将经过预处理和配准后的红外图像和可见光图像进行NSCT变换，得到各个源图像的低频和高频系数，然后对分解后的低频系数采用小波变换的融合规则进行融合处理，高频系数则采用基于特征的区域能量的融合规则进行融合处理，最后对融合后的系数进行NSCT反变换得到融合图像．仿真实验表明，采用改进的NSCT融合方法对红外与可见光图像的融合有良好的效果，图像更清晰，信息更全面．     

Classification of Livebus arrivals user behavior

With the increasing use of Intelligent Transport Systems, large amounts of data are created. Innovative information services are introduced and new forms of data are available, which could be used to understand the behavior of travelers and the dynamics of people flows. This work analyzes the requests for real-time arrivals of bus routes at stops in London made by travelers using Transport for London's LiveBus Arrivals system. The available dataset consists of about one million requests for real-time arrivals for each of the 28 days under observation. These data are analyzed for different purposes. LiveBus Arrivals users are classified based on a set of features and using K-Means, Expectation Maximization, Logistic regression, One-level decision tree, Decision Tree, Random Forest, and Support Vector Machine (SVM) by Sequential Minimal Optimization (SMO). The results of the study indicate that the LiveBus Arrivals requests can be classified into six main behaviors. It was found that the classification-based approaches produce better results than the clustering-based ones. The most accurate results were obtained with the SVM-SMO methodology (Precision of 97%). Furthermore, the behavior within the six classes of users is analyzed to better understand how users take advantage of the LiveBus Arrivals service. It was found that the 37% of users can be classified as interchange users. This classification could form the basis of a more personalized LiveBus Arrivals application in future, which could support management and planning by revealing how public transport and related services are actually used or update information on commuters.     

某出口米轨动车组(Tc车)车体设计及试验对比研究

介绍了使用大型通用计算机辅助工程软件ANSYS和有限元方法,对某出口米轨动车组(Tc车)进行了分析计算的过程,并通过实际物理样机试验数据与计算数据的比对,分析车身强度的可靠性。     

Commuters’ behavior towards upgraded bus services in Greater Beirut: Implications for greenhouse gas emissions,social welfare and transport policy

Climate change is one of the most critical environmental challenges faced in the world today. The transportation sector alone contributes to 22% of carbon emissions, of which 80% are contributed by road transportation. In this paper we investigate the potential private car greenhouse gas (GHG) emissions reduction and social welfare gains resulting from upgrading the bus service in the Greater Beirut Area. To this end, a stated preference (SP) survey on mode switching from private car to bus was conducted in this area and analyzed by means of a mixed logit model. We then used the model outputs to simulate aggregate switching behavior in the study area and the attendant welfare and environmental gains and private car GHG emissions reductions under various alternative scenarios of bus service upgrade. We recommend a bundle of realistic bus service improvements in the short term that will result in a reasonable shift to buses and measurable reduction in private car emissions. We argue that such improvements will need to be comprehensive in scope and include both improvements in bus level of service attributes (access/egress time, headway, in-vehicle travel time, and number of transfers) and the provision of amenities, including air-conditioning and Wi-Fi. Moreover, such a service needs to be cheaply priced to achieve reasonably high levels of switching behavior. With a comprehensively overhauled bus service, one would expect that bus ridership would increase for commuting purposes at first, and once the habit for it is formed, for travel purposes other than commuting, hence dramatically broadening the scope of private car GHG emissions reduction. This said, this study demonstrates the limits of focused sectorial policies in targeting and reducing private car GHG emissions, and highlights the need for combining behavioral interventions with other measures, most notably technological innovations, in order for the contribution of this sector to GHG emissions mitigation to be sizable.