[1]陶向华,袁丽颖,王复明,等.探地雷达(GPR)在路面工程质量检测中的应用[J].郑州大学学报(工学版),2001,22(04):63-66.[doi:10.3969/j.issn.1671-6833.2001.04.018]
　Tao Xianghua,Yuan Liying,Wang Fuming,et al.Application of ground penetrating radar (GPR) in pavement engineering quality inspection[J].Journal of Zhengzhou University (Engineering Science),2001,22(04):63-66.[doi:10.3969/j.issn.1671-6833.2001.04.018]
点击复制

探地雷达(GPR)在路面工程质量检测中的应用()
分享到：

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
22卷
期数:
2001年04期
页码:
63-66
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:
Application of ground penetrating radar (GPR) in pavement engineering quality inspection
作者:
陶向华; 袁丽颖; 王复明; 等.
郑州大学环境与水利学院,, 郑州市市政工程总公司,
Author(s):
Tao Xianghua; Yuan Liying; Wang Fuming; etc
关键词:
无损检测;  探地雷达(GPR);  厚度;  脱空;  路面
Keywords:
DOI:
10.3969/j.issn.1671-6833.2001.04.018
文献标志码:
A
摘要:
探地雷达(GPR)是一种新型的无损检测工具,在全球公路领域应用越来越广泛,主要用于路面厚度检测、材料评价和路面病害调查.通过实例着重说明探地雷达(GPR)在厚度检测、脱空识别中的应用,并可得到连续、快速、精度高的检测数据,值得在全国范围内推广.
Abstract:
Ground penetrating radar (GPR) is a new type of non-destructive testing tool, which is more and more widely used in the global highway field, mainly used for pavement thickness detection, material evaluation and pavement disease investigation. The application of ground penetrating radar (GPR) in thickness detection and void identification is highlighted by examples, and continuous, fast and high-precision detection data can be obtained, which is worth promoting nationwide.

相似文献/References:

[1]李成,陈功轩,铁瑛,等.基于压电阻抗技术的铝梁损伤定位试验研究[J].郑州大学学报(工学版),2016,37(04):82.[doi:10.13705/j.issn.1671-6833.2016.04.018]
　Li Cheng,Chen Gongxuan,Tie Ying,et al.Experimental Research of Damage Location in Aluminum Beam Base on EMI Technique[J].Journal of Zhengzhou University (Engineering Science),2016,37(04):82.[doi:10.13705/j.issn.1671-6833.2016.04.018]
[2]吕彭民,吴玉文,宋年波.钢桥面铺装层粘接强度超声波无损检测技术研究[J].郑州大学学报(工学版),2017,38(05):55.[doi:10.13705/j.issn.1671-6833.2017.05.023]
　Lu Pengmin,Wu Yuwen,Song Nianbo.Research on the Non-destructive Test Technology of Bonding Strength for the Steel Bridge Deck Pavement Layer[J].Journal of Zhengzhou University (Engineering Science),2017,38(04):55.[doi:10.13705/j.issn.1671-6833.2017.05.023]
[3]王军芬,刘培跃,董建彬,等.用于分割无损检测图像的快速模糊C-均值算法[J].郑州大学学报(工学版),2022,43(06):42.[doi:10.13705/j.issn.1671-6833.2022.04.016]
　WANG Junfen,LIU Peiyue,DONG Jianbin,et al.Fast Fuzzy C Means Algorithm for Segmentation of Non-destructive Testing Image[J].Journal of Zhengzhou University (Engineering Science),2022,43(04):42.[doi:10.13705/j.issn.1671-6833.2022.04.016]

更新日期/Last Update: 1900-01-01