摘要
现有沥青路面均匀性评价方法由于工作量原因局限于小范围检测评价,无法进行长距离大面积的评价。通过分析沥青路面离析现象的存在位置与频率,结合三维探地雷达与无核密度仪检测工作效率,提出两者最佳检测区间长度。根据三维探地雷达与无核密度仪检测原理提出检测控制因素。通过实地检测获得新建沥青路面介电常数与空隙率数据,采用多层前向反馈神经网络构建沥青路面介电常数与空隙率的关系,确定沥青路面介电常数离析阈值;进而实现通过介电常数进行长距离大面积的沥青路面均匀性评价工作。
Because of workload,existing homogeneity evaluation method of asphalt pavement is limited to small scale testing evaluation,not for the evaluation of large area. Based on the analysis of the location and frequency of the segregation phenomenon of asphalt pavement,the best detection length of the two based put was forward on the detection efficiency of the three-dimensional ground-penetrating radar and the non-nuclear density instrument.Based on the detection principle of 3 D ground penetrating radar and non-nuclear density instrument,the control factors were put forward. The relationship between the dielectric constant and air voids of asphalt pavement is build by multilayer forward feedback neural network,and dielectric constant threshold of segregation of asphalt pavement is determined. Thus it realize widespread homogeneity evaluation of asphalt pavement through the dielectric constant.
作者
罗传熙
张肖宁
虞将苗
李伟雄
阳经培
LUO Chuan-xi;ZHANG Xiao-ning;Yu Jiang-miao;Li Wei-xiong;YANG Jing-pei(School of Civil Engineering and Transportation,South China University of Technology,Guangzhou Xiaoning Institute of Roadway Engineering,Co,Ltd,Guangzhou 510640,China)
出处
《科学技术与工程》
北大核心
2018年第15期305-309,共5页
Science Technology and Engineering
基金
国家自然科学基金[51678251]
广东省科技计划项目[2014B010105005]资助
关键词
沥青路面
均匀性
介电常数
空隙率
神经网络
asphalt pavement
homogeneity
dielectric constant
void content
neural network
