2016 16th International Conference on Ground Penetrating Radar (GPR)最新文献_第10页

Methodology for study of river crossing of lineal engineering constructions by submersible GPR 用潜水式探地雷达研究线形工程渡河的方法

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-01 DOI: 10.1109/ICGPR.2016.7572670

I. Khristoforov, P. Omelyanenko, A. Omelyanenko, K. Danilov

引用次数: 3

A vital sign feature detection and search strategy based on multiple UWB life-detection-radars 基于多超宽带生命探测雷达的生命体征特征检测与搜索策略

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-01 DOI: 10.1109/ICGPR.2016.7572668

S. Yao, S. Y. Wu, K. Tan, S. Ye, G. Fang

引用次数: 1

Simulation and processing of LPR onboard the rover of Chang'E-3 mission: Based on multilayer lunar regolith structure stochastic media model 基于多层月壤结构随机介质模型的嫦娥三号月球车LPR仿真与处理

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-01 DOI: 10.1109/ICGPR.2016.7572611

Y. Hu, Z. Zeng, J. Li, F. Liu

{"title":"Simulation and processing of LPR onboard the rover of Chang'E-3 mission: Based on multilayer lunar regolith structure stochastic media model","authors":"Y. Hu, Z. Zeng, J. Li, F. Liu","doi":"10.1109/ICGPR.2016.7572611","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572611","url":null,"abstract":"Lunar Penetrating Radar (LPR), equipped on the rover of Chang'E-3 mission (CE-3), estimates the thickness of lunar shallow structure and detects three layers structure. In order to analyze the data of LPR and build an interpretation and experimental model, in this paper, we carry out LPR simulation and processing algorithm to provide some reference for future LPR detection. Firstly, we build the stochastic media model of lunar near surface with mix Gaussian auto-correlation function based on CE-3 LPR data. The medium parameters come from data of Apollo 15, which is the nearest to the landing site of CE-3. Then, the lunar model is simulated by the finite difference time domain (FDTD) method. We also consider the effect of interference wave from topographic and Yutu rover. Lastly, in order to eliminate the clutter wave due to Yutu rover, we use radon transform (RT) to reduce the clutter. We can obtain high resolution subsurface structure from processing results. In this paper we provide techniques for LPR data processing and interpretation in future moon probe projects.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131636666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Full-waveform inversion using the step frequency radar in the GPR band to characterize the tack coat in hot-mix asphalt (HMA) layers of flexible pavements 利用探地雷达波段阶跃频率雷达全波形反演柔性路面热混合沥青(HMA)层粘胶层的特征

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-01 DOI: 10.1109/ICGPR.2016.7572645

A. Ihamouten, T. Richard, Frédéric Bosc, N. Boutet, M. Brenugat, Xavier Dérobert, S. Lambot

{"title":"Full-waveform inversion using the step frequency radar in the GPR band to characterize the tack coat in hot-mix asphalt (HMA) layers of flexible pavements","authors":"A. Ihamouten, T. Richard, Frédéric Bosc, N. Boutet, M. Brenugat, Xavier Dérobert, S. Lambot","doi":"10.1109/ICGPR.2016.7572645","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572645","url":null,"abstract":"The use of tack coats in the construction of road structures is a technique that ensures pavement layer bonding. Unfortunately, existing techniques commonly used in France to study tack coats require coring of structures for a punctual characterization in a laboratory. This paper presents an innovative non-destructive approach to characterize the change of geometric and dielectric properties of the tack coats present inside the hot-mix asphalt (HMA) layers of flexible pavements, with the use of a step frequency radar with mono-static off-ground ultra wide band Vivaldi antennas. The principle of this method is to consider the flexible pavement as a multilayered medium with changing properties (thicknesses, dielectric susceptibilities, and dispersion parameters). Then we use a full waveform inversion that allows the extraction of the dielectric and geometric parameters of each layer composing the structure. Following numerical validations, we have validated the multilayered forward model (Green's function model integrating 2p variant of Jonscher's model) experimentally using calibration media (until three layered media). Then, our discussion focuses on the link between the dielectric and the geometric parameters of the tack coats and the emulsion quantity (bonding) used in the laboratory experimental design. The inversion results are compared to the semi-destructive gammadensimetry results and they present a good correspondence.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128220846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

GPR tomography based on regularization method for concrete defect detection 基于正则化方法的探地雷达层析成像混凝土缺陷检测

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-01 DOI: 10.1109/ICGPR.2016.7572665

S. Hu, Y. H. Zhao, C. Rao, T. Qin, C. An, S. Ge

{"title":"GPR tomography based on regularization method for concrete defect detection","authors":"S. Hu, Y. H. Zhao, C. Rao, T. Qin, C. An, S. Ge","doi":"10.1109/ICGPR.2016.7572665","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572665","url":null,"abstract":"GPR is a nondestructive detection method which has been widely applied to detect defects in concrete structures. In field geotechnical engineering cases, it is very hard to observe anomalies caused by longitudinal defects using ground-based GPR detection, which produces great difficulties in data processing and interpretation. Compared with the traditional ground-based GPR, the cross-hole GPR can obtain more objective image results because of greater exploration depth and higher resolution. Therefore, it is convenient to analyze both defects' distribution and structure of the concrete with cross-hole or hole-ground GPR measurements. In this paper, the minimum support stabilizing functional (MS) is applied to cross-hole GPR travel-time tomography to image defects in concrete structures based on the Tikhonov regularization theory and conjugate gradient inversion algorithm. 2D synthetic data of concrete defects and a field experimental cross-hole data set have been inverted using the MS stabilizing functional. Compared with the minimum norm stabilizing functional (MN) and the maximum smoothness stabilizing functional (maxsm), the new proposal can make the defects' boundary become more obvious, and the inversion results are more close to the real model.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125709349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Time-frequency spectral analysis of step frequency continuous wave and impulse ground penetrating radar 步进频率连续波和脉冲探地雷达时频谱分析

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-01 DOI: 10.1109/ICGPR.2016.7572694

P. Wong, W. Lai, M. Sato

引用次数: 9

GPR monitoring of cryogenic processes in subgrade soils 探地雷达监测路基土壤低温过程

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-01 DOI: 10.1109/ICGPR.2016.7572624

L. Fedorova, D. Savvin, M. Fedorov, A. S. Struchkov

引用次数: 6

Non-destructive testing at microwaves using a vector network analyzer and a two-coordinate mechanical scanner 利用矢量网络分析仪和二坐标机械扫描仪对微波进行无损检测

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-01 DOI: 10.1109/ICGPR.2016.7572627

A. Zhuravlev, V. Razevig, M. Chizh, S. Ivashov, A. Bugaev

引用次数: 2

A novel two-dimensional MIMO array topology for UWB near-field high-resolution imaging 一种用于超宽带近场高分辨率成像的二维MIMO阵列拓扑

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-01 DOI: 10.1109/ICGPR.2016.7572621

K. Tan, S. Y. Wu, Y. C. Wang, S. Ye, X. Liu, G. Fang

引用次数: 1

A study of polarimetrie UWB GPR imaging for utility mapping survey application 超宽带探地雷达偏振成像在公用测绘中的应用研究

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-01 DOI: 10.1109/ICGPR.2016.7572657

D. H. N. Marpaung, Y. Lu

引用次数: 0