G104国道卡车荷载概率特性分析
发布时间：2019-03-11 12:19
【摘要】：为了解决我国一级公路卡车荷载概率分布特性的问题,以G104国道289 d的动态称重数据为基础,采用多峰正态分布模型及多重指数分布模型,分析包括车质量、轴质量、轴距车速等参数在内的卡车荷载概率特性,得到各车辆荷载参数的概率分布类型及分布参数,并确定了G104国道代表性卡车车型.结果发现:采用多峰正态分布可以准确描述除卡车车头时距之外的其他车辆荷载参数分布,三重指数分布可准确描述卡车车头时距概率分布.G104国道卡车主要包括9种典型卡车车型,其中以2轴卡车为主,半挂卡车所占比例相对较小,半挂卡车显著车型为6轴V8卡车,且该车型平均装载质量、最大车质量均明显高于其他车型.
[Abstract]:In order to solve the problem of load probability distribution of first-class highway trucks in China, based on the dynamic weighing data of G104 National Highway 289 days, the multi-peak normal distribution model and multi-exponential distribution model are used to analyze the vehicle quality and axle mass. The probability distribution type and the distribution parameter of each vehicle load parameter are obtained, and the representative truck type of G104 national highway is determined according to the probability characteristic of truck load including the wheelbase speed and other parameters. The results show that the multi-peak normal distribution can accurately describe the load parameter distribution of other vehicles except the distance between the front of the truck and the front of the truck. The triplet exponential distribution can accurately describe the probability distribution of truck headway distance. The G104 National Highway truck mainly includes nine typical truck models, in which the two-axle truck is the main type, and the proportion of semi-trailer trucks is relatively small. The semitrailer truck is a six-axle V8 truck, and the average loading quality and the maximum vehicle quality of the semi-trailer truck are obviously higher than those of the other models.
【作者单位】： 长安大学桥梁与隧道陕西省重点实验室;河南省交通科学技术研究院有限公司;
【基金】：国家自然科学基金资助项目(51408053) 陕西省自然科学基础研究计划资助项目(2014JQ7234)
【分类号】：U441.2
[Abstract]:In order to solve the problem of load probability distribution of first-class highway trucks in China, based on the dynamic weighing data of G104 National Highway 289 days, the multi-peak normal distribution model and multi-exponential distribution model are used to analyze the vehicle quality and axle mass. The probability distribution type and the distribution parameter of each vehicle load parameter are obtained, and the representative truck type of G104 national highway is determined according to the probability characteristic of truck load including the wheelbase speed and other parameters. The results show that the multi-peak normal distribution can accurately describe the load parameter distribution of other vehicles except the distance between the front of the truck and the front of the truck. The triplet exponential distribution can accurately describe the probability distribution of truck headway distance. The G104 National Highway truck mainly includes nine typical truck models, in which the two-axle truck is the main type, and the proportion of semi-trailer trucks is relatively small. The semitrailer truck is a six-axle V8 truck, and the average loading quality and the maximum vehicle quality of the semi-trailer truck are obviously higher than those of the other models.
【作者单位】： 长安大学桥梁与隧道陕西省重点实验室;河南省交通科学技术研究院有限公司;
【基金】：国家自然科学基金资助项目(51408053) 陕西省自然科学基础研究计划资助项目(2014JQ7234)
【分类号】：U441.2
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