多地域公路桥梁常规车辆及特重车荷载研究
发布时间：2018-09-01 18:03
【摘要】：近几十年内我国的交通行业发展迅速，公路桥梁交通荷载信息和特征也随之发生变化，需要通过系统的调查研究进行及时的更新，从而进一步掌握交通荷载对基础设施的影响。本研究对典型地区的公路交通荷载进行长期的实时监测，通过对实时监测数据资料进行细致科学的整理分析，对典型地区的交通荷载特征开展了深入系统的研究，研究结果可以有效地帮助建立反映实际交通特征的荷载模型，并且对于确定汽车荷载设计标准和进行桥梁安全可靠性评估具有重要的意义。 基于动态称重（WIM，weigh-in-motion）设备以及基于线阵CCD成像的交通信息采集系统，本文对国内几个典型地区的交通荷载进行实测，并从以下两个方面对实时监测的数据进行分析。一方面对交通荷载特征参数的随机特性及统计规律进行分析，，并推导出相应的疲劳荷载谱，另一方面提取河北、上海和浙江地区的特重车荷载数据，对三个地区的特重车荷载特点进行全面地研究。具体研究内容包括： 1、本文提出一种精确可靠且能够全面采集交通荷载的调查方法。该方法利用WIM系统和基于线阵CCD成像的交通信息采集系统的优点，并同现场人工观测结合，精确地对车辆的类型、轴载质量、车速、行驶车道等参数进行识别。 2、利用概率和数理统计分析方法，基于河北和浙江地区的实测数据对公路车辆荷载进行全面系统的研究和对比分析，对典型车辆的车速、车时距、轴距、轴载质量等重要参数的概率分布进行K-S检验，提取符合其特征的概率分布函数。 3、同已有公路桥梁交通荷载研究相比，本研究的一个重要特征是首次针对特重车荷载进行系统深入的分析。根据河北、上海和浙江地区的统计样本数据，对特重车荷载主要参数的分布规律和统计特征进行研究，并对这三个地区的特重车荷载特点进行对比分析，为进一步对在役桥梁进行安全可靠性评估提供重要依据。 4、基于实测交通荷载数据对中小跨径公路桥梁的疲劳荷载谱进行研究。根据等效疲劳损伤原则，通过计算分析得到等效疲劳车辆模型，进而推导出适用于河北和浙江地区的疲劳荷载谱。同时建立疲劳验算模型，基于S-N曲线和Miner准则，对各疲劳车辆引起桥梁结构的疲劳损伤值进行研究。
[Abstract]:With the rapid development of transportation industry in China in recent decades, the traffic load information and characteristics of highway and bridge have changed, which need to be updated in time through systematic investigation and research, so as to further understand the impact of traffic load on infrastructure. This research carries on the long-term real-time monitoring to the highway traffic load in the typical area, through carries on the careful and scientific analysis to the real-time monitoring data, has carried on the thorough and systematic research to the typical area traffic load characteristic. The results of the study can effectively help to establish a load model that reflects the actual traffic characteristics, and it is of great significance to determine the design criteria of vehicle loads and to evaluate the safety and reliability of bridges. Based on the dynamic weighing (WIM,weigh-in-motion) equipment and the traffic information acquisition system based on linear CCD imaging, the traffic loads in several typical areas in China are measured in this paper, and the real-time monitoring data are analyzed from the following two aspects. On the one hand, the random characteristics and statistical rules of traffic load characteristic parameters are analyzed, and the corresponding fatigue load spectrum is deduced. On the other hand, the load data of heavy-duty vehicles in Hebei, Shanghai and Zhejiang are extracted. The load characteristics of extra heavy vehicles in three areas are studied comprehensively. The main contents are as follows: 1. This paper presents an accurate and reliable method for collecting traffic loads. This method makes use of the advantages of WIM system and traffic information acquisition system based on linear CCD imaging, and combines with manual observation on the spot to accurately determine the type of vehicle, axle load mass, speed, etc. 2. Based on the measured data of Hebei and Zhejiang, the paper makes a comprehensive and systematic study and comparative analysis on the load of highway vehicles by using the method of probability and mathematical statistics, and makes a comparison and analysis of the speed of typical vehicles. The probability distribution of important parameters, such as vehicle time distance, axle load mass and so on, is tested by K-S test, and the probability distribution function according to its characteristics is extracted. 3, compared with the existing highway and bridge traffic load research, An important feature of this study is the systematic and in-depth analysis of the load of heavy vehicles for the first time. According to the statistical sample data of Hebei, Shanghai and Zhejiang, the distribution law and statistical characteristics of the main parameters of the heavy truck load are studied, and the characteristics of the extra heavy vehicle load in these three regions are compared and analyzed. In order to provide an important basis for the safety and reliability assessment of existing bridges. 4. Based on the measured traffic load data, the fatigue load spectrum of medium and small span highway bridges is studied. According to the principle of equivalent fatigue damage, the equivalent fatigue vehicle model is obtained by calculation and analysis, and the fatigue load spectrum suitable for Hebei and Zhejiang regions is deduced. Based on S-N curve and Miner criterion, fatigue damage value of bridge structure caused by fatigue vehicle is studied.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U441.2;U448.14
本文编号：2217943
[Abstract]:With the rapid development of transportation industry in China in recent decades, the traffic load information and characteristics of highway and bridge have changed, which need to be updated in time through systematic investigation and research, so as to further understand the impact of traffic load on infrastructure. This research carries on the long-term real-time monitoring to the highway traffic load in the typical area, through carries on the careful and scientific analysis to the real-time monitoring data, has carried on the thorough and systematic research to the typical area traffic load characteristic. The results of the study can effectively help to establish a load model that reflects the actual traffic characteristics, and it is of great significance to determine the design criteria of vehicle loads and to evaluate the safety and reliability of bridges. Based on the dynamic weighing (WIM,weigh-in-motion) equipment and the traffic information acquisition system based on linear CCD imaging, the traffic loads in several typical areas in China are measured in this paper, and the real-time monitoring data are analyzed from the following two aspects. On the one hand, the random characteristics and statistical rules of traffic load characteristic parameters are analyzed, and the corresponding fatigue load spectrum is deduced. On the other hand, the load data of heavy-duty vehicles in Hebei, Shanghai and Zhejiang are extracted. The load characteristics of extra heavy vehicles in three areas are studied comprehensively. The main contents are as follows: 1. This paper presents an accurate and reliable method for collecting traffic loads. This method makes use of the advantages of WIM system and traffic information acquisition system based on linear CCD imaging, and combines with manual observation on the spot to accurately determine the type of vehicle, axle load mass, speed, etc. 2. Based on the measured data of Hebei and Zhejiang, the paper makes a comprehensive and systematic study and comparative analysis on the load of highway vehicles by using the method of probability and mathematical statistics, and makes a comparison and analysis of the speed of typical vehicles. The probability distribution of important parameters, such as vehicle time distance, axle load mass and so on, is tested by K-S test, and the probability distribution function according to its characteristics is extracted. 3, compared with the existing highway and bridge traffic load research, An important feature of this study is the systematic and in-depth analysis of the load of heavy vehicles for the first time. According to the statistical sample data of Hebei, Shanghai and Zhejiang, the distribution law and statistical characteristics of the main parameters of the heavy truck load are studied, and the characteristics of the extra heavy vehicle load in these three regions are compared and analyzed. In order to provide an important basis for the safety and reliability assessment of existing bridges. 4. Based on the measured traffic load data, the fatigue load spectrum of medium and small span highway bridges is studied. According to the principle of equivalent fatigue damage, the equivalent fatigue vehicle model is obtained by calculation and analysis, and the fatigue load spectrum suitable for Hebei and Zhejiang regions is deduced. Based on S-N curve and Miner criterion, fatigue damage value of bridge structure caused by fatigue vehicle is studied.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U441.2;U448.14
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