[1]宗周红,陆飞龙,薛程,等.基于WIM系统的京沪高速公路重车疲劳荷载模型[J].东南大学学报(自然科学版),2018,48(5):878-884.[doi:10.3969/j.issn.1001-0505.2018.05.015]
 Zong Zhouhong,Lu Feilong,Xue Cheng,et al.Fatigue load model of heavy vehicle for Beijing-Shanghai National Highway based on WIM system[J].Journal of Southeast University (Natural Science Edition),2018,48(5):878-884.[doi:10.3969/j.issn.1001-0505.2018.05.015]
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基于WIM系统的京沪高速公路重车疲劳荷载模型()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
48
期数:
2018年第5期
页码:
878-884
栏目:
交通运输工程
出版日期:
2018-09-20

文章信息/Info

Title:
Fatigue load model of heavy vehicle for Beijing-Shanghai National Highway based on WIM system
作者:
宗周红1陆飞龙2薛程1杨泽刚2袁微微2
1东南大学土木工程学院, 南京 210096; 2江苏省交通规划设计院股份有限公司, 南京 211100
Author(s):
Zong Zhouhong1 Lu Feilong2 Xue Cheng1 Yang Zegang2 Yuan Weiwei2
1 School of Civil Engineering, Southeast University, Nanjing 210096, China
2Jiangsu Provincial Communications Planning and Design Institute Co., Ltd., Nanjing 211100, China
关键词:
重车 疲劳荷载谱 标准疲劳车 动态称重系统 京沪高速公路
Keywords:
heavy vehicles fatigue load spectrum standard fatigue vehicle weight in motion system Beijing-Shanghai National Highway
分类号:
U448.22
DOI:
10.3969/j.issn.1001-0505.2018.05.015
摘要:
基于动态称重(WIM)系统的监测数据,统计分析了大于55 t重车的车重、车间距、轴重及车头时间间隔等特征参数的概率分布,推导出京沪高速(沂淮段)重车疲劳荷载谱和标准疲劳车模型.此外,建立了分车道和不分车道的疲劳荷载谱和标准疲劳车模型,且标准疲劳车总重远大于规范值.结果表明,京沪高速(沂淮段)日均重车达3 657辆,重载运输特征明显,车重服从广义极值分布,车间距服从伽马分布,轴重及轴间距服从混合高斯分布,车头时间间隔服从对数正态分布.建立的重车疲劳荷载谱和等效标准疲劳车模型可供实桥疲劳评估参考.
Abstract:
Based on the monitoring data from the weight-in-motion(WIM)system of the Beijing-Shanghai National Highway(Yi-Huai section), the probability distributions of the characteristic parameters, including the weight of heavy vehicles larger than 55 t, the vehicle separation distance, the axle load, the time interval between two vehicle heads, were statistically analyzed. The fatigue load spectrum of heavy vehicles and the standard fatigue vehicle model of the Beijing-Shanghai National Highway(YI-Huai section)were derived. The fatigue load spectrum and the standard fatigue vehicle models of sub-lane and non-lane were established, and the total weights of the proposed standard fatigue vehicle model were heavier than those of the national standard. The results indicate that the daily traffics of the Beijing-Shanghai National Highway(Yi-Huai section)are 3 657 vehicles, and the heavy transport characteristics are obvious. The vehicle weight obeys the generalized extreme value distribution; the separation distance obeys the Gamma distribution; the axial weights and the axial spacing obey the mixed Gauss distribution; the headway time interval obeys the Lognormal distribution. The proposed fatigue load spectrum and the standard fatigue vehicle models can be used as the references for the fatigue evaluation of real existing bridges.

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备注/Memo

备注/Memo:
收稿日期: 2018-01-06.
作者简介: 宗周红(1966—),男,博士,教授,博士生导师,zongzh@seu.edu.cn.
基金项目: 国家自然科学基金资助项目(51378112)、江苏省交通运输科技资助项目(2013Y07).
引用本文: 宗周红,陆飞龙,薛程,等.基于WIM系统的京沪高速公路重车疲劳荷载模型[J].东南大学学报(自然科学版),2018,48(5):878-884. DOI:10.3969/j.issn.1001-0505.2018.05.015.
更新日期/Last Update: 2018-09-20