[1]张久鹏,王培,葛敬勇,等.基于红外技术的沥青路面积水结冰厚度测试方法与影响因素[J].东南大学学报(自然科学版),2019,49(6):1187-1192.[doi:10.3969/j.issn.1001-0505.2019.06.023]
 Zhang Jiupeng,Wang Pei,Ge Jingyong,et al.Test methods and influencing factors for asphalt pavement hydrops and icing thickness detection based on infrared technology[J].Journal of Southeast University (Natural Science Edition),2019,49(6):1187-1192.[doi:10.3969/j.issn.1001-0505.2019.06.023]
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基于红外技术的沥青路面积水结冰厚度测试方法与影响因素()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
49
期数:
2019年第6期
页码:
1187-1192
栏目:
交通运输工程
出版日期:
2019-11-20

文章信息/Info

Title:
Test methods and influencing factors for asphalt pavement hydrops and icing thickness detection based on infrared technology
作者:
张久鹏1王培1葛敬勇2邢向阳1刘一濛3
1长安大学特殊地区公路工程教育部重点实验室, 西安 710064; 2河南省城乡规划设计研究总院有限公司, 郑州 450044; 3中交第四公路工程局有限公司西安工程设计分公司, 西安 710075
Author(s):
Zhang Jiupeng1 Wang Pei1 Ge Jingyong2 Xing Xiangyang1 Liu Yimeng3
1Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang’an University, Xi’an 710064, China
2Henan Urban Planning and Design Research Institute Co., Ltd., Zhengzhou 450044, China
3Engineering Design Institute of CCCC Fourth Highway Co., Ltd., Xi’an 710075, China
关键词:
路面积水 路面结冰 厚度检测 红外技术 光电传感器
Keywords:
pavement hydrops pavement icing thickness detection infrared technology photoelectric sensor
分类号:
U492.8
DOI:
10.3969/j.issn.1001-0505.2019.06.023
摘要:
为了检测路面安全状况,提出了一种基于红外技术的沥青路面积水结冰厚度测试方法.采用红外发光二极管和光电三极管集成制作了收发一体的光电传感器,实现了对路面干燥和潮湿状态的判断以及积水深度和结冰厚度的量化检测,并从环境温度、光照强度、泥水质量比、试件空隙率和路表纹理构造等方面分析了其影响规律.研究结果表明,取显著水平α=0.05,环境温度、光照强度和泥水质量比对输出电压无显著影响,试件空隙率和路表纹理构造则对输出电压有显著影响.利用开发的传感器和所提测试方法,能够显著区分不同空隙率和路表纹理下路面积水深度和结冰厚度,为实际工程应用提供参考.
Abstract:
In order to detect the safety condition of pavement, a method for asphalt pavement hydrops and icing thickness detection based on infrared technology was proposed. A photoelectric sensor integrated with infrared light-emitting diodes and photoelectric triodes was developed to judge the dry and wet conditions of the road surface and quantitatively detect the hydrops and icing thickness. The influence of the temperature, the light intensity, the slurry water mass ratio, the volume of air voids and the texture structure of surface were also analyzed. The results show that the temperature, the light intensity and the slurry water mass ratio have no significant effect on the output voltage when the significance level α is 0.05. However, the output voltage is greatly affected by the volume of air voids and the texture structure of the specimen. The developed sensor and the proposed test method can distinguish pavement hydrops and icing thickness with different volumes of air voids and texture structures, which can provide reference for practical engineering application.

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备注/Memo

备注/Memo:
收稿日期: 2019-04-18.
作者简介: 张久鹏(1983—),男,博士,教授,zhjiupeng@chd.edu.cn.
基金项目: 国家自然科学基金资助项目(51978068)、中国博士后科学基金资助项目(2017M620434)、陕西省博士后科研基金资助项目(2017BSHYDZZ17).
引用本文: 张久鹏,王培,葛敬勇,等.基于红外技术的沥青路面积水结冰厚度测试方法与影响因素[J].东南大学学报(自然科学版),2019,49(6):1187-1192. DOI:10.3969/j.issn.1001-0505.2019.06.023.
更新日期/Last Update: 2019-11-20