以位移为基础的钢筋混凝土连续梁桥抗震设计方法

利用等效线性化方法将钢筋混凝土(RC)连续梁桥结构简化为多自由度线弹性体系,采用振型反应谱的概念研究了结构在横向地震作用下考虑多阶模态效应的直接基于位移的抗震设计方法。探讨了连续梁桥的上部结构(主梁)及桥墩(台)刚度的变化对结构横向振动模态质量与模态周期的影响,给出了多阶模态设计方法的具体设计过程。对对称与非对称连续梁桥采用相同的设计步骤进行基于位移的抗震设计,并对设计算例用非线性时程分析验证了设计结果的合理性。     

公路桥梁高承台桩基沉降分析研究

桩基的沉降计算是桩基工程设计不可忽视的关键问题之一。为探讨高承台桩基沉降特性，基于荷载传递法提出一种高承台桩基沉降计算方法，并采用多组不同参数对某高承台群桩的沉降特性进行了比较计算和深入分析，得到了多个影响因素下群桩沉降的变化规律。     

数值模拟在土钉支护公路边坡工程设计的应用

采用岩土工程分析软件，结合某公路边坡开挖的具体实例，对土钉支护进行数值模拟，对边坡开挖和土钉支护过程中的土体位移场、应力场及土钉的受力变化等进行了模拟与分析。结果表明计算值与实测值较为接近，建立的计算模型对土钉支护的受力变形分析是适用的。同时，在改变模型参数的基础上初步探讨了土钉长度、土钉倾角对边坡位移与土钉最大轴力的影响，得出了一些在土钉支护工程中可资应用的结论。     

地下连续墙作为桥梁基础在软土地区的应用

本文以上海浦东国际机场1号桥的设计为背景,介绍了地下连续墙做为桥梁基础的计算模型的建立、计算参数的取值以及构造处理措施。结果表明:当条件受限制时,地下连续墙不失为一种较好的基础型式。     

挖掘机电子控制系统(Ⅰ)

简述小松、大宇等挖掘机电子控制系统、电子功率优化系统和工作模式控制系统,介绍自动怠速装置的原理及故障诊断,详细论述电子油门和发动机电子控制系统工作原理及故障诊断。     

意大利威尼斯集装箱深水港投资模式分析

全球经济回暖以及"一带一路"倡议给中资企业参与海外港口投资提供了良好契机,但海外港口投资也存在政治、经济、文化等多方面的风险。针对目前中资企业海外港口投资中存在的问题,系统分析中资企业海外港口投资模式及其优劣和适用情况,并结合国外主要港口管理模式,以意大利威尼斯集装箱深水港投资实践为典型案例,提出海外港口投资策略。     

Experimental evaluation of Heavy Duty Vehicle speed patterns in urban and port areas and estimation of their fuel consumption and exhaust emissions

Exhaust emissions and fuel consumption of Heavy Duty Vehicles (HDVs) in urban and port areas were evaluated through a dedicated investigation. The HDV fleet composition and traffic driving from highways to the maritime port of Genoa and crossing the city were analysed. Typical urban trips linking highway exits to port gates and HDV mission profiles within the port area were defined. A validation was performed through on-board instrumentation to record HDV instantaneous speeds in urban and port zones. A statistical procedure enabled the building-up of representative speed patterns. High contrasts and specific driving conditions were observed in the port area. Representative speed profiles were then used to simulate fuel consumption and emissions for HDVs, using the Passenger car and Heavy duty Emission Model (PHEM). Complementary estimations were derived from Copert and HBEFA methodologies, allowing the comparison of different calculation approaches and scales. Finally, PHEM was implemented to assess the performances of EGR or SCR systems for NO_X reduction in urban driving and at very low speeds.The method and results of the investigation are presented. Fuel consumption and pollutant emission estimation through different methodologies are discussed, as well as the necessity of characterizing very local driving conditions for appropriate assessment.     

机器人生产线在船舶智能制造中的应用研究

智能制造是“中国制造2025”的主攻方向。本文先浅谈了智能船厂，并结合国内首个智能船厂试点对智能船厂的初级发展建设等进行初步探索，主要对船舶智能制造机器人生产线应用进行梳理分析，如工艺流程及布置、生产模式改进、提质增效和人员减配等。     

挂篮底模纵梁受力简化计算方法及承重分配系数

以一桥梁施工工程实例为依托,采用有限元软件ANSYS对桥梁悬臂施工中使用的菱形挂篮进行仿真分析.提出3种简化模式计算底模纵梁的承重分配,对比发现将底模纵梁承受的外荷载简化为集中荷载,并分配至挂篮下前后横梁的方法是最优简化计算方法.在此基础上对挂篮底模纵梁承重分配系数进行优化,从而简化了繁琐的挂篮底模纵梁受力分析计算,保证了挂篮结构设计和施工的安全.     

Who you are is how you travel: A framework for transportation mode detection using individual and environmental characteristics

With the increasing prevalence of geo-enabled mobile phone applications, researchers can collect mobility data at a relatively high spatial and temporal resolution. Such data, however, lack semantic information such as the interaction of individuals with the transportation modes available. On the other hand, traditional mobility surveys provide detailed snapshots of the relation between socio-demographic characteristics and choice of transportation modes. Transportation mode detection is currently approached using features such as speed, acceleration and direction either on their own or in combination with GIS data. Combining such information with socio-demographic characteristics of travellers has the potential of offering a richer modelling framework that could facilitate better transportation mode detection using variables such as age and disability. In this paper, we explore the possibility to include both elements of the environment and individual characteristics of travellers in the task of transportation mode detection. Using dynamic Bayesian Networks, we model the transition matrix to account for such auxiliary data by using an informative Dirichlet prior constructed using data from traditional mobility surveys. Results have shown that it is possible to achieve comparable accuracy with the most widely used classification algorithms while having a rich modelling framework, even in the case of sparse mobility data.