沪昆高铁防灾系统改造与优化

通过统计告警分布,对高铁防灾设备电源类和网络类告警的原因、特点进行分析和判断,并给出处理和减少此两类告警的思路和实施方案。     

富水复杂地层中长距离大坡度煤矿斜井TBM选型

文章以某矿井主斜井采用TBM施工为背景,分析指出了该工程所面临的主要问题和技术挑战,并对各类型盾构和TBM在该工程中的适应性进行了理论对比分析,提出了煤矿长距离斜井施工采用双模式TBM的设备机型。鉴于煤矿斜井TBM施工面临的长距离、大坡度、大埋深、有毒有害气体危害、富水复杂地层及施工进度要求高等问题,文章对双模式TBM的主要功能设计及设备的选型配置进行了研究,提出了双模式TBM应对不同技术问题的设计方案和设备配置技术措施。     

海底管道海上接收井围堰设计研究

以徐圩新区达标尾水排海工程为例，海上管道陆海衔接施工受海上风浪及水位影响较大，海边滩涂地区淤泥深厚，周边存在防波堤、海堤及养殖区等保护要求较高的建构筑物，施工难度较大。本文介绍了海底管道海上接收井施工的关键技术，并对方案合理性和可靠性进行分析与计算复核，为类似工程提供借鉴。     

An application of a rank ordered probit modeling approach to understanding level of interest in autonomous vehicles

Surveys of behavior could benefit from information about people’s relative ranking of choice alternatives. Rank ordered data are often collected in stated preference surveys where respondents are asked to rank hypothetical alternatives (rather than choose a single alternative) to better understand their relative preferences. Despite the widespread interest in collecting data on and modeling people’s preferences for choice alternatives, rank-ordered data are rarely collected in travel surveys and very little progress has been made in the ability to rigorously model such data and obtain reliable parameter estimates. This paper presents a rank ordered probit modeling approach that overcomes limitations associated with prior approaches in analyzing rank ordered data. The efficacy of the rank ordered probit modeling methodology is demonstrated through an application of the model to understand preferences for alternative configurations of autonomous vehicles (AV) using the 2015 Puget Sound Regional Travel Study survey data set. The methodology offers behaviorally intuitive model results with a variety of socio-economic and demographic characteristics, including age, gender, household income, education, employment and household structure, significantly influencing preference for alternative configurations of AV adoption, ownership, and shared usage. The ability to estimate rank ordered probit models offers a pathway for better utilizing rank ordered data to understand preferences and recognize that choices may not be absolute in many instances.     

Improving the coexistence of offshore wind farms and shipping: an international comparison of navigational risk assessment processes

The continued growth and evolution of the offshore wind industry, and the emergence of other novel marine uses such as wave and tidal generators, have upped the ante for spatial planners, as well as consenting and approval authorities in various coastal states. These stakeholders rely on processes such as navigational risk assessments (NRAs) to balance safety and efficiency requirements and to make optimal decisions over use of space. Given the increasingly complex and crowded seascape, however, there are some apprehensions about potential shortcomings in these NRA processes. There is also some concern that these inadequacies may lead to unsafe or inefficient marine spatial use. To understand how NRA processes can be improved further, a literature review is conducted, followed by a survey of respondents who are involved in the planning, consenting and/or approval of offshore wind farms across seven different countries. A summary of the NRA processes in these seven countries is presented, and several shortcomings are identified. Based on the findings of the survey, a list of recommendations is presented to enhance existing NRA processes—and to improve the coexistence of shipping and offshore wind farms (OWFs).     

Five-axis interpolation of continuous short linear trajectories for 3[PP]S-<Emphasis Type="Italic">XY</Emphasis> hybrid mechanism by dual Bezier blending

A novel five-axis real-time interpolation algorithm for 3[PP]S-XY hybrid mechanism is proposed in this paper. In the algorithm, the five-axis tool path for controlling this hybrid mechanism is separated into two sub-paths. One sub-path describes the movement of 3[PP]S parallel kinematic mechanism module, and the other one describes the movement of XY platform. A pair of cubic Bezier curves is employed to smooth the corners in those two sub-paths. Based on the homogenous Jacobian matrix of 3[PP]S mechanism, a relationship between the position errors of every driving joint in hybrid mechanism and the position deviation of the tool tip center point at the moving platform is established. This relationship is used to estimate the approximation error for the corners smoothing according to the accuracy requirement of tool tip center in interpolation. Due to the high computational efficiency of this corner smoothing method, it is integrated into the look-ahead module of computer numerical control (CNC) system to perform online tool path smoothing. By performing the speed planning based on a floating window scheme, a jerk limited S-shape speed profile can be generated efficiently. On this basis, a realtime look-ahead scheme, which is comprised of path-smoothing and feedrate scheduling, is developed to acquire a speed profile with smooth acceleration. A monotonic cubic spline is employed for synchronization between those two smoothed sub-paths in tool path interpolation. This interpolation algorithm has been integrated into our own developed CNC system to control a 3PRS-XY experimental instrument (P, R and S standing for prismatic, revolute and spherical, respectively). A club shaped trajectory is adopted to verify the smoothness and efficiency of the five-axis interpolator for hybrid mechanism control.     

辽宁省普通公路翻浆的形成与防治

在分析辽宁省普通公路翻浆成因和影响因素的基础上,提出翻浆防治措施,以供公路养护管理者参考。     

双桨双舵船舶操纵性预报研究

采用MMG数学模型，结合双桨双舵船舶的水动力性能特点，建立了双桨双舵船舶在静水中水平面上的操纵运动模拟模型，应用该模型对一艘双桨双舵船舶在满载条件下的定常回转试验、Z形试验和紧急停船试验进行了数值模拟，得到了表征船舶操纵性的指标．通过将预报的操纵性指标和IMO提出的操纵性标准进行比较，实现了对该船操纵性的定性预报．     

A*算法在基于电子地图的动态路径诱导中的应用

动态网络中两节点间最短路径问题是目前尚未解决的一个难题．文中提出利用A＊算法来求解电子地图中的这一问题，并利用电子地图中的地理信息来得到网络中两节点间最短距离的下界，运用这些下界来设计有效的A＊算法．以广州市电子地图为基础，随机产生了一个满足先进先出原则的动态网络，利用这个网络对提出的算法进行了试验及性能分析．试验结果证明了该方法的有效性．     

A^＊算法在公共交通诱导系统中的应用研究

由于在采用以往的公交路网描述方法的公交网络中，存在大量两节点有多条同向边的情况，而这种情况使得无法求解公交网络中的最短路径问题。提出了公交路网描述方法和以其为基础的多目标公共交通诱导模型，并证明了此描述方法不仅能够完全的描述整个公交路网，而且还能够用于求解多目标的公交诱导问题；同时提出采用A^＊算法来求解公共交通诱导问题；最后，以广州市的公交线路网络为例，对公交诱导模型进行了试验，试验结果表明本文提出的算法是十分有效的，多目标模型的平均计算时间仅为0．1秒。