摘要
为研究三维激光检测技术中数据密度对面域构造深度检测结果可靠性的影响,利用三维激光室内检测系统获取了AC-10、AC-13和AC-16共3类沥青混合料试件的表面三维数据,计算了16种激光数据密度下的路面平均构造深度(MTD),分析了激光数据密度对MTD计算结果的影响规律.结果表明:三维激光检测技术测量沥青路面MTD的可靠性较高;当激光数据密度由0.5 mm×0.5 mm下降到5.0 mm×5.0 mm时,3类沥青混合料试件的MTD均值最大下降了36.52%;仅改变激光数据密度的单方向间距,对MTD计算结果影响不显著;3类沥青混合料试件的MTD与激光数据密度的下降比呈明显对数相关性,相关系数均在0.95以上,并且粒径越大的混合料类型路面受激光数据密度变化的影响越大.
In order to reveal the effect of 3 D laser data scanning density on the reliability of measurement results obtained by 3 D laser technology being adopted to acquire asphalt pavement’s mean texture depth(MTD), a 3 D laser laboratory testing system was employed to capture the surface 3 D data of asphalt pavement specimens AC-10, AC-13 and AC-16, 16 combinations types of scanning density were used to calculate the MTD, and the influence of 3 D laser data scanning density on the results of MTD was analyzed. The results show that(1) 3 D laser scanning technology has a good reliability on MTD calculation of asphalt pavement;(2) when the laser data scanning density drops from 0.5 mm×0.5 mm to 5.0 mm×5.0 mm, the MTD average of the three above-mentioned types of asphalt pavement specimens declines with a maximum drop of 36.52%;(3) changing the direction interval of laser data scanning density only is not significant to the results of MTD calculation;(4) there is a significant logarithmic correlation between the MTD of the three types of asphalt pavements and the drop ratio of laser data density, with a correlation coefficient of above 0.95;and(5) the pavement with larger particle size is more greatly affected by the change of laser data scanning density.
作者
惠冰
郭牧
刘晓芳
HUI Bing;GUO Mu;LIU Xiaofang(School of Highway,Chang’an University,Xi’an 710064,Shaanxi,China;Key Laboratory of Highway Engineering in Special Areas of the Ministry of Education,Xi’an 710075,Shaanxi,China;China Communications Tongli Construction Co. ,Ltd. ,Xi’an 710075,Shaanxi,China)
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2018年第11期142-149,156,共9页
Journal of South China University of Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(51508034)
陕西省自然科学基金资助项目(2017JM5130)
内蒙古自治区交通运输科技项目(NJ-2015-31)~~
关键词
道路工程
抗滑性能
构造深度
三维激光技术
激光数据密度
road pavement engineering
anti-skid performance
texture depth
3D laser scanning technology
laser data scanning density
