吉茶高速公路矮寨大桥车辆荷载谱研究

发布时间：2018-03-28 04:33

本文选题：随机车流　切入点：荷载调查　出处：《长沙理工大学》2014年硕士论文

【摘要】：车辆荷载作用在桥梁上具有一定的随机性和变化性,特别是随着现代社会的发展,交通量的增大,对高速公路桥梁进行随机车辆荷载谱研究很有必要。本文以吉茶高速公路矮寨大桥为工程背景,对矮寨大桥进行了为期48小时的随机荷载调查与研究,主要工作和研究如下：1.进行了连续48小时的随机车辆荷载调查,并系统研究了车辆随机荷载各参数的分布特点,确定了荷载调查的方法与步骤并将矮寨大桥的车辆荷载分为七大类型,分别对各类车型进行车型构成比例、车流量构成比例、车道参数、车速参数、车道横向位置参数、车重参数等进行一系列分析与研究。研究结果表明：矮寨大桥车辆荷载主要是以第二类小轿车和第七类大型货车为主,其中小轿车占总车辆的49.5%,第七类大型货车占总车辆的21.56%,其余类型车辆所占的比例均小于10%；第一类至第七类车型的典型车重分别为1646kg、1451kd、3572kg、 12395kg、6974kg、29104kg以及52832kg。2.采用正态分布、对数正态分布和威布尔分布三种分布类型函数对矮寨大桥车流量进行参数分析和优化拟合,通过K-S检验方法来检验是否通过要求,寻找出与实测分布最为接近的分布参数及分布类型。研究结果表明：最终选用正态分布函数来替代各车型车速分布函数,威布尔分布函数来代替各车型车道横向位置分布函数,正态分布函数来代替各车型的车重分布函数。3.根据车辆对桥的损伤量对车辆进行折算,研究车辆荷载的时间序列来获得车辆荷载的功率谱密度函数和自相关函数,得到调查车流数据的频率和各种特性。结合前面的结论矮寨大桥随机车流主要服从正态分布,得到折算后车流的均值和标准差,并利用Matlab编制出相关的程序,生成满足此分布的矮寨大桥随机车辆荷载谱。
[Abstract]:The effect of vehicle load on the bridge is random and changeable, especially with the development of modern society, the increase of traffic volume, It is necessary to study the random vehicle load spectrum of expressway bridge. In this paper, a 48-hour random load investigation and research on the Puizhai Bridge of Ji-cha Expressway is carried out. The main work and research are as follows: 1. A 48-hour random vehicle load survey has been carried out, and the distribution characteristics of the parameters of the vehicle random load have been systematically studied. The methods and steps of load investigation are determined, and the vehicle loads of Aizhai Bridge are divided into seven types, which are the proportion of vehicle types, the proportion of traffic flow, lane parameters, speed parameters, lane lateral position parameters. A series of analysis and research on the vehicle weight parameters are carried out. The results show that the second kind of cars and the seventh kind of large trucks are the main loads of the vehicles in the pai Zhai Bridge. The cars account for 49.5% of the total vehicles, the seventh type of large trucks account for 21.56% of the total vehicles, and the other types of vehicles account for less than 10% of the total vehicles. The typical vehicle weights of the first to seventh types of vehicles are 1646 kg / 1451 kg / d 3572 kg / kg, 12395kg / 694 kg / 29104 kg and 52832 kg / g / 2.The typical vehicle weights of the first and seventh types of vehicles are 1646 kg / kg / 1451 kg / d 3572 kg / kg, 12395kg / 1 974 kg / kg 29104kg and 52832kg.2. The logarithmic normal distribution and Weibull distribution are used to analyze and optimize the traffic flow of the pai Zhai Bridge. The K-S test method is used to test whether the traffic flow is required or not. The results show that the normal distribution function is used to replace the vehicle speed distribution function and the Weibull distribution function to replace the lateral position distribution function of each vehicle lane. The normal distribution function is used to replace the vehicle weight distribution function of each vehicle type. According to the damage amount of the vehicle to the bridge, the time series of vehicle load are studied to obtain the power spectrum density function and autocorrelation function of vehicle load. The frequency and characteristics of the investigated traffic flow data are obtained. Combined with the previous conclusion, the random traffic flow of the Aizhai Bridge is mainly from normal distribution, the mean value and standard deviation of the converted traffic flow are obtained, and the relevant programs are compiled by using Matlab. The random vehicle load spectrum of pai-zhai bridge satisfying this distribution is generated.
【学位授予单位】：长沙理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U441.2

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