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。     

西部公路发展策略研究

采用SWOT分析法作为西部公路发展策略的制定方法,在对西部公路交通系统的内外部环境影响因素归纳、剖析的基础上,给出了西部公路内外部环境分析与评价的方法,按重要性确定了西部公路发展环境的优势(S)与劣势(W)、机会(O)和威胁(T)因素,并采用定量与定性方法相结合提出了西部公路发展的建议策略,为西部公路发展在策略层面提供了理论指导。     

基于自适应遗传算法的路堤边坡稳定性分析方法

基于圆弧滑动面假定,提出了一种用自适应遗传算法搜索最危险滑动面及其对应的最小安全系数的新方法。该方法是一种改进的遗传算法,采用自适应求取适值、动态调整交叉率和变异率、自适应区间收缩。自适应遗传算法有效克服了传统方法易陷入局部极小的缺陷,提高了算法的搜索效率、精度和稳定性。     

沥青路面破损程度分级与破损换算系数取值的探讨

本文分析现行规范中对沥青路面破损程度、密度分级以及破损换算系数取值中存在问题,通过分析沥青路面破损程度与路面使用状况关系,结合沥青路面养护措施,提出沥青路面裂缝破损密度分级的方法,并对车辙破损严重程度分级标准、裂缝和车辙破损换算系数的修正值提出建议。     

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.     

太阳能游船光伏逆变器控制系统EMC设计

从船舶环境和光伏逆变器的基本原理和功能出发,分别对太阳能游船EMC干扰源和干扰路径进行分析,通过信号滤波与保护、工艺设计和试验测试,实现高可靠性的太阳能游船光伏逆变器控制系统研究和设计,为太阳能游船的光伏逆变器控制系统研究提供基本EMC设计思路与实现技巧。     

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。     

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.