【摘要】：為了解決我國一級(jí)公路卡車荷載概率分布特性的問題,以G104國道289 d的動(dòng)態(tài)稱重?cái)?shù)據(jù)為基礎(chǔ),采用多峰正態(tài)分布模型及多重指數(shù)分布模型,分析包括車質(zhì)量、軸質(zhì)量、軸距車速等參數(shù)在內(nèi)的卡車荷載概率特性,得到各車輛荷載參數(shù)的概率分布類型及分布參數(shù),并確定了G104國道代表性卡車車型.結(jié)果發(fā)現(xiàn):采用多峰正態(tài)分布可以準(zhǔn)確描述除卡車車頭時(shí)距之外的其他車輛荷載參數(shù)分布,三重指數(shù)分布可準(zhǔn)確描述卡車車頭時(shí)距概率分布.G104國道卡車主要包括9種典型卡車車型,其中以2軸卡車為主,半掛卡車所占比例相對(duì)較小,半掛卡車顯著車型為6軸V8卡車,且該車型平均裝載質(zhì)量、最大車質(zhì)量均明顯高于其他車型.
[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.
【作者單位】： 長安大學(xué)橋梁與隧道陜西省重點(diǎn)實(shí)驗(yàn)室;河南省交通科學(xué)技術(shù)研究院有限公司;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(51408053) 陜西省自然科學(xué)基礎(chǔ)研究計(jì)劃資助項(xiàng)目(2014JQ7234)
【分類號(hào)】：U441.2

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