2016 16th International Conference on Ground Penetrating Radar (GPR)最新文献

A simulation-based approach for railway applications using GPR 基于仿真的探地雷达铁路应用方法

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-09-22 DOI: 10.1109/ICGPR.2016.7572609

A. Benedetto, F. Tosti, L. B. Ciampoli, L. Pajewski, D. Pirrone, A. Umiliaco, M. G. Brancadoro

{"title":"A simulation-based approach for railway applications using GPR","authors":"A. Benedetto, F. Tosti, L. B. Ciampoli, L. Pajewski, D. Pirrone, A. Umiliaco, M. G. Brancadoro","doi":"10.1109/ICGPR.2016.7572609","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572609","url":null,"abstract":"In this work a numerical model capable to predict the electromagnetic response of railway ballast aggregates under different physical conditions has been calibrated and validated by a simulation-based approach. The ballast model is based on the main physical and geometrical properties of its constituent material and it is generated by means of a random-sequential absorption (RSA) approach. A finite-difference time-domain (FDTD) simulator is then employed to calculate the ground-penetrating radar (GPR) signal response to the scenario. The calibration of the model has been performed by taking into account the main physical properties and the grain size characteristics of both the reference ballast material and a fine-grained pollutant material, namely, an A4 soil type material, according to the AASHTO soil classification. The synthetic GPR response has been generated by using the gprMax freeware simulator. Several scenarios have been considered, which in turn were reproduced in laboratory environment and used for the validation of the model. Promising results have demonstrated the high potential of such approach in characterizing the simulated response of complex coarse-grained heterogeneous materials.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127716626","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: 11

Predicting GPR performance for buried victim search & rescue 预测探地雷达在被埋遇难者搜救中的性能

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-09-22 DOI: 10.1109/ICGPR.2016.7572642

N. Diamanti, A. P. Annan, I. Giannakis

引用次数: 4

Improving GPR signal modelling for efficient characterization of multi-layered media 改进探地雷达信号建模，有效表征多层介质

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-09-22 DOI: 10.1109/ICGPR.2016.7572680

S. Maiti, S. K. Patra, A. Bhattacharya

引用次数: 1

A train-mounted GPR system for fast and efficient monitoring of tunnel health conditions 安装在列车上的探地雷达系统，用于快速有效地监测隧道健康状况

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-09-22 DOI: 10.1109/ICGPR.2016.7572696

Y. Zan, G. Su, Z. L. Li, X. Y. Zhang

{"title":"A train-mounted GPR system for fast and efficient monitoring of tunnel health conditions","authors":"Y. Zan, G. Su, Z. L. Li, X. Y. Zhang","doi":"10.1109/ICGPR.2016.7572696","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572696","url":null,"abstract":"The health status of a railway tunnel should be regularly inspected during its service period for safe operation. The frequency of periodic inspection should be increased when the tunnel has become aged. For the coverage tunnels, health assessment is more essential. Ground penetrating radar (GPR) has been used as a key tunnel health detecting technique; however, so far, such (GPR) techniques are in contact mode. Such methods cannot meet the requirements for tunnel disease prospection and regular inspections across the whole operational network. Therefore, a new method has been developed that uses long-range detection with the train-mounted GPR. It consists of six channels, whose air-launched antenna distance to the sidewall is about 0.93m~1.5m, and the distance to the vault is 1.7m~ 2.25m. The scanning rate of each channel is 976 scans/second. When the sampling point interval is 5cm, the maximum test speed can reach up to 175km/hr. With such a speed and air-launched antenna, this system has a big advantage over existing methods. That is, for electrified railways, there is no need for power outages and for inspections to occupy time during maintenance periods. Indeed, they will not interrupt normal railway operation. The running tests with this system have been carried out on the Baoji-Zhongwei and Xiangfan-Chongqing railway lines and very good test results have been obtained.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125788952","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: 2

GPR inspection of asphalt pavement using an off-ground antenna array 探地雷达检查沥青路面使用离地天线阵列

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-09-22 DOI: 10.1109/ICGPR.2016.7572701

Z. Long, Y. X. Zhang, H. Liu, J. Wu, W. Z. Ouyang, Y. Y. Xia, Q. H. Liu

引用次数: 3

Towards 3D full-waveform inversion of crosshole GPR data 井间探地雷达三维全波形反演研究

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-09-20 DOI: 10.1109/ICGPR.2016.7572687

A. Mozaffari, A. Klotzsche, G. He, H. Vereecken, J. van der Kruk, C. Warren, A. Giannopoulos

{"title":"Towards 3D full-waveform inversion of crosshole GPR data","authors":"A. Mozaffari, A. Klotzsche, G. He, H. Vereecken, J. van der Kruk, C. Warren, A. Giannopoulos","doi":"10.1109/ICGPR.2016.7572687","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572687","url":null,"abstract":"2D crosshole ground penetrating (GPR) full-1 waveform inversion (FWI) has shown superior resolution 1 compared to ray-based inversion tomograms for synthetic and experimental data. To invert measured 3D data with a 2D j model that has a reduced geometrical spreading and assumes infinite source and receiver dimensions perpendicular to the 2D inversion plane, the Bleistein transformation can be used to convert the measured 3D data to 2D. This far-field conversion consists of a phase shift and amplitude correction that is based on the first arrival travel time of each trace. In the case of late arrival and high amplitude events that 1 can occur due to low-velocity waveguides andfast propagating refracted waves, this transformation can introduce errors especially in the amplitude such that the inverted conductivity is less accurate. To overcome these problems, we have replaced the 2D finite difference time domain FDTD forward model in the FWI scheme with the well-known gprMax3D FDTD modeling program. In this way, we do not need to use the Bleistein 3D-to-2D filter with its far-field approximation, and we can deal with the correct geometrical spreading and approximate better realistic point source and receivers. Currently, the 2D FWI algorithm has been extended to 2.5D by replacing the 2D FDTD with the gprMax 3D FDTD modeling program. The first test of the 2.5D FWI is based on inversion results of a data set acquired at the Widen site in Switzerland that contained a low-velocity waveguide. The new 2.5D FWI performed well in reconstructing the models. The new 2.5D FWI enables a more reliable re-construction of the subsurface image, especially the electrical conductivity tomograms and to the full use of all the modeling possibilities of the gprMax modeling tool.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116233699","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: 7

Rebar detection — POD approach to determine the reliability of GPR systems and to quantify the influence of different material parameters 钢筋检测- POD方法确定探地雷达系统的可靠性和量化不同材料参数的影响

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-13 DOI: 10.1109/ICGPR.2016.7572601

S. Feistkorn

{"title":"Rebar detection — POD approach to determine the reliability of GPR systems and to quantify the influence of different material parameters","authors":"S. Feistkorn","doi":"10.1109/ICGPR.2016.7572601","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572601","url":null,"abstract":"GPR has emerged as one of the most relevant NDT technologies, which can be employed in various civil engineering (CE) applications. While the general applicability of GPR has been demonstrated, an objective evaluation of the limitations of GPR for qualitative inspection tasks is still missing. Therefore, the POD method, based on the “â vs. a” approach, was transferred to the application of GPR for the detection of rebars at different depths. The main goal of the presented research was to establish a universal procedure, which is based on the POD approach to determine the detection limits of a GPR system and excludes the human factor. Important parameters are the a90/95 value, the slope of the POD curve, and the decision threshold âdec. With this information, different GPR systems can be compared objectively to choose the best system for each individual inspection task. Furthermore, a program of measurements on four pairs of specimens was conducted to determine the influence of different material parameters. This experiment was based on the factorial design to separate each investigated material parameter. In summary, the maximum grain size has no systematic influence on the reliable detection depth a90/95 of metallic rebars. As a further important result of the POD analysis, a rebar with a small diameter of 12 mm is detectable at larger depths than rebars with a diameter of 28 mm. This has to be taken into consideration, when tendons with larger diameters than rebars have to be detected.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129772447","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

Snow cover extraction in mountain areas using RadarSat-2 polarimetrie SAR data 利用RadarSat-2极化SAR数据提取山区积雪

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-13 DOI: 10.1109/ICGPR.2016.7572594

G. He, J. X. Jiang, Z. Xia, Y. Hao, P. Xiao, Xuezhi Feng, Zuo Wang

{"title":"Snow cover extraction in mountain areas using RadarSat-2 polarimetrie SAR data","authors":"G. He, J. X. Jiang, Z. Xia, Y. Hao, P. Xiao, Xuezhi Feng, Zuo Wang","doi":"10.1109/ICGPR.2016.7572594","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572594","url":null,"abstract":"Optical remote sensing data provide an effective way of mapping snow cover but limited by solar illumination conditions, whereas polarimetric decomposition technology offers the ability to monitor snow cover in all weathers. In the present study, a support vector machine (SVM) method for extracting snow cover based on RadarSat-2 Polarimetric SAR data in rugged mountain terrain is introduced. In this method, backscattering coefficient images of RadarSat-2 are analyzed, using snow-covered and snow-free areas obtained from GF-1 satellite observations as the “ground truth.” The analysis' results indicate that the backscattering coefficient in four polarizations is clearly correlated with the underlying surface type and local incidence angle, and there is a slight difference in backscattering coefficient between snow-free areas and snow-covered areas in the snow-accumulation period, and the backscattering coefficient of snow-covered areas is 3~10 dB smaller than snow-free areas in the snow-melt period. Then local incidence angle, underlying surface type, training samples from GF-1 wide field viewer (WFV) data combined with the optical polarimetric feature combination obtained from polarimetric feature decomposition were used to build a SVM classifier. The classification results demonstrate that snow cover extraction using this method can achieve mean accuracies of 73.6% and 82.7% for snow-accumulation and snow-melt periods, respectively.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130633951","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: 2

Experimental and numerical investigations for GPR evaluation of reinforced concrete footbridge 钢筋混凝土人行桥探地雷达评价的试验与数值研究

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-13 DOI: 10.1109/ICGPR.2016.7572675

J. Lachowicz, M. Rucka

引用次数: 8

The NeTTUN project: Design of a GPR antenna for a TBM NeTTUN项目:TBM探地雷达天线的设计

2016 16th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2016-06-13 DOI: 10.1109/ICGPR.2016.7572648

A. Simi, G. Manacorda

{"title":"The NeTTUN project: Design of a GPR antenna for a TBM","authors":"A. Simi, G. Manacorda","doi":"10.1109/ICGPR.2016.7572648","DOIUrl":"https://doi.org/10.1109/ICGPR.2016.7572648","url":null,"abstract":"The NeTTUN (New Technologies for Tunnelling and Underground Works) Project involves a consortium of 23 industrial, research & development laboratories and small and medium enterprise organizations across 9 countries in Europe; the ultimate goal is to enable groundbreaking change in the construction and maintenance of tunnels. Most existing ground prediction methods require the stopping of excavation work for several hours, which relegates them to a once per week activity. This generally far exceeds the available nominal idle time required for the construction of a ring in a segmental lined tunnel. NeTTUN aims to develop a fully automated system, that when installed on a tunnel boring machine (TBM), provides identification of large obstacles that can obstruct digging (e.g. other tunnels, cavities, boulders, foundations, archaeological remains, etc.) as well as soil changes (e.g. from gravel to fractured rock). Current methods for predicting geological variations mainly exploit seismic sources and receivers, deployed during pauses in drilling. In contrast, NeTTUN proposes the combined use of a seismic system and a ground prediction radar. The design has to fulfil two conflicting requirements of a large inspection operating range (which requires low frequency sensors) and detection of rock fractures that can be just a few centimeters in length (requiring high frequency sensors), while also dealing with the main issue of the interaction between the metallic TBM cutter head and the sensors.","PeriodicalId":187048,"journal":{"name":"2016 16th International Conference on Ground Penetrating Radar (GPR)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114776814","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: 6