八车道高速公路交通轴载与沥青路面使用性能指标的车道差异性
Lane Variability of Traffic Axle Load and Asphalt Pavement Performance Indexes for Eight-Lane Expressway
黄考取 1陈宇 1徐文军 2郝金海 2晏博智 2周献龙 2朱传江 1谷雨3
作者信息
- 1. 浙江交工集团股份有限公司设计院分公司公路数智养护浙江省工程研究中心 杭州市 310051
- 2. 浙江沪杭甬高速公路股份有限公司宁波管理中心 宁波市 315016
- 3. 浙江师范大学浙江省城市轨道交通智能运维技术与装备重点实验室 金华市 321004
- 折叠
摘要
为积极响应高速公路集约化施工的思想,实现高速公路车道级精准养护,以浙江省沪杭甬公路典型八车道路段交通轴载和沥青路面使用性能指标数据为基础,分析了其交通轴载的车道差异性,并采用多种拟合模型和集度分析相结合的方法,分析了历年车辙深度RD、国际平整度指数IRI和路面破损率DR等3项使用性能指标的车道差异性,探讨了交通轴载与各使用性能指标的相关性及其车道差异性.结果表明:交通轴载和沥青路面各使用性能指标及其集度均与所在车道有关,各严重病害主要集中在第三、四车道,交通轴载与各使用性能指标的相关性分析结果在第一、二车道和第三、四车道也分别呈现不同的团聚.因此,建议在后续双向八车道高速公路养护工作中,充分考虑第一、二车道和第三、四车道的差异性.
Abstract
In order to actively respond to the idea of intensive construction of expressways and to realize precise maintenance of expressway lane level,the lane variability of traffic axle load and asphalt pavement performance index data of a typical eight-lane section of the Hu-Hang-Yong Expressway in Zhejiang Province are analyzed based on the lane variability of its traffic axle load,and combining multiple fitting models and set degree analysis,the rutting depth RD,international roughness index IRI and pavement distress ratio DR are analyzed.The correlation between traffic axle load and each performance index and its lane variability are discussed.The results show that the traffic axle load and each performance index of asphalt pavement and its clustering are related to the lanes located,and severe damages are mainly concentrated in the third and fourth lanes,and the correlation analysis results of traffic axle load and each performance index also shows different clustering in the first and second lanes and the third and fourth lanes respectively.Therefore,it is suggested that the differences between the first and second lanes and the third and fourth lanes should be fully considered in the subsequent maintenance work of the dual 4-lanes expressway.
关键词
沥青路面/精准养护决策/车道系数/车辙深度/国际平整度指数/路面破损率/集度/拟合分析Key words
asphalt pavement/precision maintenance decisions/lane factor/rut depth/international roughness index/pavement distress ratio/collectivity/fitting analysis引用本文复制引用
出版年
2024
NETL
NSTL
万方数据