结合收发偏置进行探地雷达路面层厚度解译

M.U. Ahmed, R.A. Tarefder , A.K. Maji
{"title":"结合收发偏置进行探地雷达路面层厚度解译","authors":"M.U. Ahmed,&nbsp;R.A. Tarefder ,&nbsp;A.K. Maji","doi":"10.1016/j.csndt.2016.11.002","DOIUrl":null,"url":null,"abstract":"<div><p>This study evaluates the necessity of considering Transmitter–Receiver (T–R) offset distance for predicting pavement layer thicknesses from two-way travel time data captured by a Ground Penetrating Radar (GPR) antenna. For the purpose of this study, GPR testing was conducted at an instrumented pavement section at Milepost (MP) 141 on Interstate I-40 near Albuquerque, New Mexico, USA. The GPR system used for this study consists of 2.0 GHz air-launched, 900 MHz ground-coupled, and 400 MHz ground-coupled antennas. The entire instrumented test section was tested with different antenna configurations. The two-way travel time is used for calculating layer thicknesses using two approaches: one considering the T–R offset, which is a non-conventional approach and the other without considering the T–R offset, which is a conventional approach. Statistical analysis namely, <em>t</em>-test is performed on the predicted layer thicknesses from these two approaches. The analysis indicates that these two approaches are significantly different. The predicted thicknesses by these two approaches are compared to each other. It is observed that the approach considering the T–R offset predicts the layer thicknesses with better accuracy compared to the conventional approach. Therefore, it is recommended to use the T–R offset in predicting pavement layer thickness from GPR data.</p></div>","PeriodicalId":100221,"journal":{"name":"Case Studies in Nondestructive Testing and Evaluation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.csndt.2016.11.002","citationCount":"5","resultStr":"{\"title\":\"Incorporating transmitter–receiver offset to interpret pavement layer thicknesses by GPR\",\"authors\":\"M.U. Ahmed,&nbsp;R.A. Tarefder ,&nbsp;A.K. Maji\",\"doi\":\"10.1016/j.csndt.2016.11.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study evaluates the necessity of considering Transmitter–Receiver (T–R) offset distance for predicting pavement layer thicknesses from two-way travel time data captured by a Ground Penetrating Radar (GPR) antenna. For the purpose of this study, GPR testing was conducted at an instrumented pavement section at Milepost (MP) 141 on Interstate I-40 near Albuquerque, New Mexico, USA. The GPR system used for this study consists of 2.0 GHz air-launched, 900 MHz ground-coupled, and 400 MHz ground-coupled antennas. The entire instrumented test section was tested with different antenna configurations. The two-way travel time is used for calculating layer thicknesses using two approaches: one considering the T–R offset, which is a non-conventional approach and the other without considering the T–R offset, which is a conventional approach. Statistical analysis namely, <em>t</em>-test is performed on the predicted layer thicknesses from these two approaches. The analysis indicates that these two approaches are significantly different. The predicted thicknesses by these two approaches are compared to each other. It is observed that the approach considering the T–R offset predicts the layer thicknesses with better accuracy compared to the conventional approach. Therefore, it is recommended to use the T–R offset in predicting pavement layer thickness from GPR data.</p></div>\",\"PeriodicalId\":100221,\"journal\":{\"name\":\"Case Studies in Nondestructive Testing and Evaluation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.csndt.2016.11.002\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Case Studies in Nondestructive Testing and Evaluation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214657116300405\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Case Studies in Nondestructive Testing and Evaluation","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214657116300405","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

本研究评估了从探地雷达(GPR)天线捕获的双向旅行时间数据预测路面层厚度时考虑收发(T-R)偏移距离的必要性。为了本研究的目的,在美国新墨西哥州阿尔伯克基附近的I-40州际公路milestone (MP) 141路段进行了探地雷达测试。本研究使用的探地雷达系统由2.0 GHz空射、900 MHz地耦合和400 MHz地耦合天线组成。整个仪器测试部分用不同的天线配置进行了测试。双向行程时间用于计算层厚度,采用两种方法:一种考虑T-R偏移,这是一种非常规方法;另一种不考虑T-R偏移,这是一种常规方法。对这两种方法预测的层厚进行统计分析,即t检验。分析表明,这两种方法存在显著差异。对这两种方法的预测厚度进行了比较。结果表明,与传统方法相比,考虑T-R偏移的方法预测层厚的精度更高。因此,建议使用T-R偏移量从探地雷达数据中预测路面层厚。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Incorporating transmitter–receiver offset to interpret pavement layer thicknesses by GPR

This study evaluates the necessity of considering Transmitter–Receiver (T–R) offset distance for predicting pavement layer thicknesses from two-way travel time data captured by a Ground Penetrating Radar (GPR) antenna. For the purpose of this study, GPR testing was conducted at an instrumented pavement section at Milepost (MP) 141 on Interstate I-40 near Albuquerque, New Mexico, USA. The GPR system used for this study consists of 2.0 GHz air-launched, 900 MHz ground-coupled, and 400 MHz ground-coupled antennas. The entire instrumented test section was tested with different antenna configurations. The two-way travel time is used for calculating layer thicknesses using two approaches: one considering the T–R offset, which is a non-conventional approach and the other without considering the T–R offset, which is a conventional approach. Statistical analysis namely, t-test is performed on the predicted layer thicknesses from these two approaches. The analysis indicates that these two approaches are significantly different. The predicted thicknesses by these two approaches are compared to each other. It is observed that the approach considering the T–R offset predicts the layer thicknesses with better accuracy compared to the conventional approach. Therefore, it is recommended to use the T–R offset in predicting pavement layer thickness from GPR data.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Contents Editorial Board Editorial Board Contents Comparison of surface-based and image-based quality metrics for the analysis of dimensional computed tomography data
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1