基于可靠度理论和实测交通数据的横向折减系数研究

发布时间：2018-02-25 18:43

  本文关键词： 桥梁 横向折减系数 概率算法 车辆荷载　出处：《重庆交通大学》2015年硕士论文　论文类型：学位论文

【摘要】：20世纪的80年代末至90年代初,在以概率极限状态设计规范为基础进行研究的同时,交通部曾经委托有关公路设计院联合其他科研机构对汽车荷载特性进行研究。但经历了近20年的发展后,交通流量的特征已经发生很大改变,对汽车荷载形式产生重要影响的车辆载重能力、车型比例以及交通流特性等也产生明显的改变。现有的桥梁设计规范例如多车道横向折减系数是否能适应如今交通荷载的发展需求,就有了探讨的意义。本文采用概率算法,利用VBA和MATLAB编程语言编制数据处理程序和分析程序对广东广深珠高速路和内蒙古包东高速路段两个调查点的实测交通荷载数据进行统计分析,得出现有交通下的多车道横向折减系数统计建议值,并通过对比分析对以后规范的制定给出一些建议。主要有以下几个方面的工作:①分析调查点交通量的构成、调查时间内交通量的变化趋势以及各车道的日交通量;②根据交通量和车重信息提出给定车型的重车概率分布类型为双重威布尔分布,将多峰分布应用于横向折减系数的研究,这是本文的重要研究点之一;通过轴距数据运用核密度估计分析得出轴距的代表值;通过速度信息得出车速的分布类型,并取分布的0.05分位值作为车速的代表值;采用回归分析拟合最大荷载与均值及标准差之间的关系式并分析车重样本的变异系数变化情况;采用概率算法,结合已得出的计算参数得出多车道横向折减系数的建议值,可以为规范制定提供参考;③利用两地调查点的数据,分析对比调查期内每天的车道横向折减系数以及不同地域的车重因素对车道横向折减系数的影响,并对规范的制定提出一些建议。
[Abstract]:From the end of 80s on 20th century to the beginning of 90s, while studying on the basis of the probability limit state design code, The Ministry of Communications has commissioned relevant highway design institutes to work with other scientific research institutions to study the characteristics of vehicle load. But after nearly 20 years of development, the characteristics of traffic flow have changed greatly. The capacity of a vehicle that has a significant impact on the form of the vehicle's load, The proportion of vehicle types and the characteristics of traffic flow have also changed obviously. The existing bridge design codes, such as whether the multi-lane transverse reduction coefficient can meet the needs of the development of traffic load today, is of great significance. In this paper, the probabilistic algorithm is used. Using VBA and MATLAB programming language to compile data processing program and analysis program, the traffic load data of Guangdong Guangshen Pearl Expressway and Inner Mongolia Baodong Expressway are analyzed statistically. Get the statistical suggestion value of multi-lane transverse reduction coefficient under the existing traffic, and give some suggestions on the formulation of the later standard through the comparative analysis. There are mainly several aspects of work: 1 to analyze the traffic volume composition of the investigation point. According to the information of traffic volume and vehicle weight, it is proposed that the probability distribution type of heavy vehicle for a given vehicle model is double Weibull distribution. The multi-peak distribution is applied to the study of transverse reduction coefficient. This is one of the important research points in this paper: the representative value of wheelbase is obtained by using kernel density estimation analysis of wheelbase data, the distribution type of vehicle speed is obtained by velocity information, and the 0.05 quartile of distribution is taken as the representative value of vehicle speed. Regression analysis is used to fit the relationship between maximum load and mean value and standard deviation, and the variation coefficient of vehicle weight sample is analyzed. It can be used as a reference for the establishment of norms, using the data of survey points in both places, to analyze and compare the lane transverse reduction coefficient of each day during the survey period, as well as the influence of vehicle weight factors in different regions on the lane lateral reduction coefficient. And put forward some suggestions to the formulation of the norm.
【学位授予单位】：重庆交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U442.5

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