基于可靠度理論和實(shí)測(cè)交通數(shù)據(jù)的橫向折減系數(shù)研究
本文關(guān)鍵詞: 橋梁 橫向折減系數(shù) 概率算法 車輛荷載 出處:《重慶交通大學(xué)》2015年碩士論文 論文類型:學(xué)位論文
【摘要】:20世紀(jì)的80年代末至90年代初,在以概率極限狀態(tài)設(shè)計(jì)規(guī)范為基礎(chǔ)進(jìn)行研究的同時(shí),交通部曾經(jīng)委托有關(guān)公路設(shè)計(jì)院聯(lián)合其他科研機(jī)構(gòu)對(duì)汽車荷載特性進(jìn)行研究。但經(jīng)歷了近20年的發(fā)展后,交通流量的特征已經(jīng)發(fā)生很大改變,對(duì)汽車荷載形式產(chǎn)生重要影響的車輛載重能力、車型比例以及交通流特性等也產(chǎn)生明顯的改變,F(xiàn)有的橋梁設(shè)計(jì)規(guī)范例如多車道橫向折減系數(shù)是否能適應(yīng)如今交通荷載的發(fā)展需求,就有了探討的意義。本文采用概率算法,利用VBA和MATLAB編程語(yǔ)言編制數(shù)據(jù)處理程序和分析程序?qū)V東廣深珠高速路和內(nèi)蒙古包東高速路段兩個(gè)調(diào)查點(diǎn)的實(shí)測(cè)交通荷載數(shù)據(jù)進(jìn)行統(tǒng)計(jì)分析,得出現(xiàn)有交通下的多車道橫向折減系數(shù)統(tǒng)計(jì)建議值,并通過(guò)對(duì)比分析對(duì)以后規(guī)范的制定給出一些建議。主要有以下幾個(gè)方面的工作:①分析調(diào)查點(diǎn)交通量的構(gòu)成、調(diào)查時(shí)間內(nèi)交通量的變化趨勢(shì)以及各車道的日交通量;②根據(jù)交通量和車重信息提出給定車型的重車概率分布類型為雙重威布爾分布,將多峰分布應(yīng)用于橫向折減系數(shù)的研究,這是本文的重要研究點(diǎn)之一;通過(guò)軸距數(shù)據(jù)運(yùn)用核密度估計(jì)分析得出軸距的代表值;通過(guò)速度信息得出車速的分布類型,并取分布的0.05分位值作為車速的代表值;采用回歸分析擬合最大荷載與均值及標(biāo)準(zhǔn)差之間的關(guān)系式并分析車重樣本的變異系數(shù)變化情況;采用概率算法,結(jié)合已得出的計(jì)算參數(shù)得出多車道橫向折減系數(shù)的建議值,可以為規(guī)范制定提供參考;③利用兩地調(diào)查點(diǎn)的數(shù)據(jù),分析對(duì)比調(diào)查期內(nèi)每天的車道橫向折減系數(shù)以及不同地域的車重因素對(duì)車道橫向折減系數(shù)的影響,并對(duì)規(guī)范的制定提出一些建議。
[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.
【學(xué)位授予單位】:重慶交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:U442.5
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