探地雷达技术在高速公路病害检测中的应用

提出采用探地雷达的无损检测技术对运营高速公路中常见病害进行检测。从分析探地雷达检测原理、检测方式入手,通过应用实例说明探地雷达检测技术具有无损、快速、简易、准确率高的优点。因此,作为高速公路预防性养护的常用技术,该法对正确指导日常养护管理具有广阔的应用前景。     

PC连续刚构桥施工控制系统参数识别

系统参数误差是引起PC连续刚构桥悬臂施工控制误差的主要因素之一,因此消除系统参数误差是施工控制的关键所在.酉水河大桥施工监控系统参数识别过程表明,参数识别有利于施工参数的重点监测与调控.     

Detection of nonlinearity effects in structural integrity monitoring methods for offshore jacket-type structures based on principal component analysis

The detection of changes in the dynamic behavior of structures is an important issue in structural safety assessment. The development of detection methods assumes greater significance in the case of offshore platforms because the inherent problems are compounded by the harsh environment. Here, we describe an instrumented physical model for the structural health monitoring of an offshore jacket-type structure and the results of tests in several different damage scenarios. In a comparative investigation of two different methods, we discuss the difficulties of implementing damage detection techniques for complex structures, such as offshore platforms. The combined algorithm of a fuzzy logic system and a model updating method are briefly discussed, and a method based on stochastic autoregressive moving average with exogenous input is adopted for the structure. The consideration of uncertainties and the effects of nonlinearity were major objectives. So, the methods were also investigated based on the test scenarios consisting of the physical model with a geometric nonlinearity. The principal component analysis method was utilized for the detection of nonlinearity in the recorded data. The results show that the developed methods are suitable for damage classification, but the quality of the acquired signals must be considered an important factor influencing successful classification. The development of these methods may be extremely useful, as such technologies could be applied for offshore platforms in service, enabling damage detection with fewer false alarms.     

Plate scanning tools to obtain travel times in traffic networks

The management of vehicle travel times has been shown to be fundamental to traffic network analysis. To collect travel time measurement, some methods focus solely on isolated links or highway segments, and where two measurement points, at the beginning and at the end of a section, are deemed sufficient to evaluate users' travel time. However, in many cases, transport studies involve networks in which the problem is more complex. This article takes advantage of the plate scanning technique to propose an algorithm that minimizes the required number of registering devices and their location in order to identify vehicles candidates to compute the travel times of a given set of routes (or subroutes). The merits of the proposed method are explained using simple examples and are illustrated by its application to the real network of Ciudad Real.     

基于小波和粒子群算法的HEV行驶状况辨识方法研究

针对混合动力汽车(HEV)行驶状况(道路坡度和整车载荷)变化难以有效识别,导致驱动系统控制策略不能有效满足驾驶员意图问题,以混联式HEV为研究对象,提出了基于小波滤波和粒子群算法的HEV行驶状况辨识方法。首先建立了汽车行驶状况辨识模型,采用最小二乘法确立了优化目标函数,其次研究了基于小波滤波和粒子群算法的HEV行驶状况辨识原理,最后进行了行驶状况粒子群智能算法辨识试验。在采集实车数据的基础上,对实车数据进行小波滤波,并运用行驶状况辨识方法对道路坡度和整车载荷进行了辨识,并对辨识结果进行小波滤波,结果表明,试验工况下整车载荷辨识的相对误差绝对平均值为2.71%,道路坡度辨识的相对误差绝对平均值为3.85%,验证了所提出方法的有效性。     

射频识别技术在物流工程中的应用研究

简要介绍了射频识别技术的工作原理和优点,综述了射频识别技术在国内各个领域的主要应用,最后指出了当前射频识别技术所存在的主要问题。     

自行车流视频识别判断方法研究

考虑算法的实时性,交通流个体识别往往采用轮廓特征来描述。由于自行车与行人的很多轮廓特征值相近,在复杂城市交通环境中,从慢行交通流中准确地识别出自行车是目前采用视频检测交通流的难点之一。通过现场视频检测获取足够的样本外轮廓数据,分析检测目标轮廓的高、宽、高宽比、面积等典型轮廓特征,发现目标轮廓高宽比特征能较好地识别出行人、自行车等慢行交通,并给出合适的取值范围。研究表明自行车高宽比能够较好地成为视频识别的依据,为自行车视频识别提供数据。     

基于初步危害分析的城市轨道交通系统安全性分析

研究了初步危害分析法在城市轨道交通系统安全性分析中的应用。提出了城市轨道交通系统的通用危险状态清单,设计了针对城市轨道交通系统的5种初步危害分析表,并对上海轨道交通1、2、3号线进行了安全性分析。     

基于.NET框架的重大危险源管理系统的设计与开发

从重大危险源安全监管的现实需要出发,研究了重大危险源管理信息系统的总体框架及其软、硬件结构,开发出了B/S结构的重大危险源管理信息系统。介绍了系统的设计模式、基于.NET平台的多层体系构架设计,阐述了系统的集成、查询、发布和工作流的实现等关键技术,实例验证了研究的可行性。     

高速公路桥梁施工风险识别及应对措施

运用风险分析理论及方法,结合新疆某公路桥梁主桥施工实例,从经济损失、环境损失、社会损失三方面对洪水作用下桥梁施工的风险进行了分析,提出了工程防治、非工程防治、生物防治方面的措施建议,可为今后高速公路桥梁施工的风险识别及应对措施提供有益的参考.