城市高架桥之高独柱墩横向位移探讨

结合城市高架高独柱墩顶部发生横向位移这一现象,对高独柱墩顶部横向荷载产生的原因进行初步分析,并应用三维非线性屈曲分析,阐述组合荷载所引起的大变形及混凝土徐变效应与墩顶横向位移之间的关系,提出了设计、施工类似结构时应注意的事项。     

潜艇均衡系统自流注水调节阀稳态噪声试验研究

本文模拟建立了潜艇均衡系统自流注水试验系统,对不同假海压力、不同系统流量、不同出口背压及串联2台调节阀时自流注水稳定过程振动噪声进行研究。结果表明:潜艇均衡注水振动噪声随着假海深度的增大而增大;空气噪声随流量调节阀开度的增大而增大,在流量调节阀开度为60°-70°之间,振动加速度及水动力噪声产生峰值;在出口背压为0-0.5 MPa之间时,振动噪声值均大于无背压状态,峰值为0.2 MPa;串联2台流量调节阀可大幅降低自流注水振动噪声。     

“互联网+”环境下的道路交通信号辅助优化技术

在"互联网+"环境下,城市道路交通传统信号控制优化存在的技术瓶颈将得到有效突破。结合信号控制优化实际工作指出传统信号控制优化技术的瓶颈,分析"互联网+"技术辅助信号控制优化的解决思路及工作流程。重点探讨"互联网+"环境下的信号控制优化关键技术,例如主动发现问题、精准优化方案和客观量化评估优化效果等。其中针对方案优化还研究了利用"互联网+"数据校核交通模型以提高信号方案仿真精度。实践结果表明:利用"互联网+"技术可以有效辅助信号控制优化工作,提高信号控制方案与交通流的适配水平,有效缓解交通拥堵。     

绿色公路技术LCA评价体系及效益分析

针对各类绿色公路技术难以横向比较的问题,文章从技术可行性、经济效益、节能减排效益等方面,提出建立绿色公路技术LCA评价体系,并以G312苏州西段工程为例进行综合效益分析,其综合效益最为显著,具备规模化、资源化、投资适宜的绿色公路技术;技术瓶颈问题的突破和创新,是推进绿色公路发展的根本动力;将绿色理念融入公路建设的全生命周期的前提,是因地制宜的前期规划布局研究,也是合理选择适宜绿色公路技术的基础。     

隧道爆炸冲击波的危害及控制措施

目前山岭隧道施工基本以钻爆法为主,爆破过程中产生的冲击波会对隧道内的人员及机械设备安全产生较大影响,造成重大安全事故和财产损失。本文主要介绍了冲击波在隧道内传播会形成超压,且随着传播距离增加超压峰值逐渐衰减到大气压范围内;基于超压准则评估了冲击波对人体、隧道内设施及周边建筑物的危害程度;通过在隧道内安装简易的冲击波缓冲装置及加强监测、设置安全警戒线等控制措施,减弱了爆破冲击波的危害,从而达到安全快速施工的目的。     

论经济新常态下交通运输行政执法体制改革

交通运输是国民经济基础性行业,经济新常态下改革交通运输执法体制是贯彻中央全面深化改革、全面依法治国方针的内在要求,是消除执法体制机制弊端、根治执法乱象、破解交通运输发展瓶颈的有效途径,改革的主要内容和目的主要有整合职能、精简机构、核定编制、保障经费四个方面。改革中市辖区不设置执法机构,市管公路治超站移交县级管理,妥善进行富余人员转岗分流,要制定配套政策、采取措施保障改革顺利进行,处理好改革与稳定的关系,做到改革与治理两不误。     

基于下游大水位变率的下水式垂直升船机随动技术的设计与实现

下游航道水位变率大,快速适应水位变化的准确停位随动技术,对下水式升船机的传动控制很重要.本文介绍下水式垂直升船机随动控制技术.首先,对控制对象的特性进行分析,描述了系统的速度运行曲线,对位置控制功能进行了研究.然后,搭建试验平台对本控制方案的性能进行了测试,给出了测试的方法和试验结果.实验结果表明本控制系统具有定位精度高、响应速度快等优点,能够适应下游大水位变化率的下水式垂直升船机准确停位要求.     

A proposed vision and vehicle-to-infrastructure communication-based vehicle positioning approach

It is essential to obtain accurate location of vehicles for new applications of Intelligent Transportation Systems. To remedy the defects of present Global Positioning System and vehicle-to-infrastructure (V-I) positioning technology, a new positioning approach based on vision and V-I communication is proposed. This approach aims at lane-level positioning with lower cost than conventional ones. In this approach, the position of the vehicle is represented by its lateral position (the lane number) and longitudinal position (the distance from entrance of the road) in a course coordinate system along the road; the specific lane the vehicle is occupying (the lane number) can be judged using the information of lane lines detected by vision systems; then the distance to the vehicle is obtained by a Road Side Unit (RSU) during the V-I communication; and the longitudinal position is calculated. The error of the approach on typical operating conditions is analyzed, indicating that the new approach can achieve the accuracy of less than 0.31 m for straight road and 0.58 m for typical arc road with ultra-wideband communication and ranging technologies and rational arrangement of RSUs. The feasibility of this approach is presented.     

Approximate optimal AUTOSAR software components deploying approach for automotive E/E system

The AUTOSAR has been developed as the worldwide standard for automotive E/E software systems, making the electronic components of different suppliers to be employed universally. However, as the number of component-based applications in modern automotive embedded systems grows rapidly and the hardware topology becomes increasingly complex, deploying such large number of components in automotive distributed system in manual way is over-dependent on experience of engineers which in turn is time consuming. Furthermore, the resource limitation and scheduling analysis make the problems more complex for developers to find out an approximate optimal deploying approach in system integration. In this paper, we propose a novel method to deploy the AUTOSAR components onto ECUs with the following features. First, a clustering algorithm is designed for deploying components automatically within relatively low time complexity. Second, a fitness function is designed to balance the ECUs load. The goal of our approach is to minimize the communication cost over all the runnable entities while meeting all corresponding timing constraints and balancing all the ECUs load. The experiment results show that our approach is efficient and has well performance by comparing with other existing methods in specific and synthetic data set.