2018 17th International Conference on Ground Penetrating Radar (GPR)最新文献_第4页

Quantifying scour depth in a straightened gravel-bed river with ground-penetrating radar 用探地雷达定量研究直砾河床冲刷深度

2018 17th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2018-06-01 DOI: 10.1109/ICGPR.2018.8441569

E. Huber, B. Anders, P. Huggenberger

引用次数: 1

GPR investigation of remains of pile dwellings in Lake Zurich 苏黎世湖桩民居遗迹探地雷达调查

2018 17th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2018-06-01 DOI: 10.1109/ICGPR.2018.8441563

J. Hugenschmidt, Andreas Mäder

引用次数: 1

Effect of suspended sediments on ground penetrating radar imaging of riverbeds 悬浮沉积物对河床探地雷达成像的影响

2018 17th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2018-06-01 DOI: 10.1109/ICGPR.2018.8441671

D. Nobes, Kim A. Hammond, K. Bassett

引用次数: 1

Study on Polarization Rotation of Electromagnetic Plane Wave from Rough Surface 粗糙表面电磁平面波偏振旋转的研究

2018 17th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2018-06-01 DOI: 10.1109/ICGPR.2018.8441603

Zejun Dong, Xuan Feng, Cai Liu, Yan Zhang, E. Nilot, Minghe Zhang, Haoqiu Zhou

引用次数: 1

A GPR-based Sensor to Measure Asphalt Pavement Density 一种基于gpr的沥青路面密度传感器

2018 17th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2018-06-01 DOI: 10.1109/ICGPR.2018.8441669

N. Diamanti, J. Redman, A. P. Annan

引用次数: 3

GPR prospecting in the chapel of Aragon within the Co-Cathedral of St. John (Valletta, Malta) 在圣约翰大教堂内的阿拉贡教堂进行探地雷达勘探(瓦莱塔，马耳他)

2018 17th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2018-06-01 DOI: 10.1109/ICGPR.2018.8441694

R. Persico, S. D’Amico, L. Matera, E. Colica, Cynthia De Giorgio, Adriana Alescio, C. Sammut, P. Galea

引用次数: 1

Estimating Rock Moisture Based on Ground Penetration Radar Survey in Frozen and Thawed States 冻融状态下基于探地雷达测量的岩石含水率估算

2018 17th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2018-06-01 DOI: 10.1109/ICGPR.2018.8441533

L. Fedorova, G. Kulyandin, D. Savvin

{"title":"Estimating Rock Moisture Based on Ground Penetration Radar Survey in Frozen and Thawed States","authors":"L. Fedorova, G. Kulyandin, D. Savvin","doi":"10.1109/ICGPR.2018.8441533","DOIUrl":"https://doi.org/10.1109/ICGPR.2018.8441533","url":null,"abstract":"Possibilities of estimating rock moisture based on ground penetrating radar data were considered. A methodology for estimating moisture of dispersed rocks has been proposed which uses an empirical formula based on the relative change of delay time $(mathbf{N}_{mathrm{t}})$ of GPR signals reflected from the medium interface in the frozen ($(mathbf{t}_{mathbf{M}}$., ns) and thawed ($(mathbf{t}_{mathbf{T}}$, ns) states. It was approbated in the natural environment., on two sites in Central Yakutia. GPR data within the active layer during the period of complete freezing and thawing of rocks was examined. On the first testing site., data values were selected from a section segment in the vicinity of the check hole. The average value of the signal delay time from the reference boundary at a depth of 1.7 m was calculated based on three adjoining sounding locations. The relative change of the signal delay time $mathbf{N}_{mathbf{t}}$ was evaluated. The average gravimetric water content was calculated according to the proposed formula. Moisture distribution along the GPR section on the second approbation site was also determined in accordance with the methodology. The proposed methodology enables remote evaluation of dispersed rock moisture and its changes under the influence of various natural and anthropogenic factors within the active layer of the cryolithozone rock massif.","PeriodicalId":269482,"journal":{"name":"2018 17th International Conference on Ground Penetrating Radar (GPR)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114587316","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: 0

Estimating moisture changes in concrete using GPR velocity analysis: potential and limitations 用探地雷达速度分析估算混凝土中的水分变化:潜力和局限性

2018 17th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2018-06-01 DOI: 10.1109/ICGPR.2018.8441572

P. Koyan, J. Tronicke, N. Allroggen, A. Kathage, M. Willmes

{"title":"Estimating moisture changes in concrete using GPR velocity analysis: potential and limitations","authors":"P. Koyan, J. Tronicke, N. Allroggen, A. Kathage, M. Willmes","doi":"10.1109/ICGPR.2018.8441572","DOIUrl":"https://doi.org/10.1109/ICGPR.2018.8441572","url":null,"abstract":"Chloride-induced corrosion of steel is a key problem for reinforced concrete buildings such as bridges. Here, the moisture conditions are of major interest because they are closely related to chloridization and its tempo-spatial variability. Ground-penetrating radar (GPR) is commonly used for extensive non-destructive imaging of small-scale structural defects in concrete. To identify the potential and the limitations of GPR for practical investigation of reinforced concrete buildings, a longterm GPR monitoring experiment on a well-defined reinforced concrete specimen characterized by a typical rebar geometry has been performed under laboratory-like conditions. The GPR data analyzed in this study have been acquired before and after a three-week immersion of the specimen in water using a geometric setup and antenna system as commonly applied in concrete inspection. Before analyzing the data in detail, we apply a typical imaging processing flow and demonstrate the potential of our GPR data to image the spatial location of the rebar structures. To assess the moisture content of the specimen and its tempo-spatial variability, our study focuses on developing and performing an automatic migration-based velocity analysis, which also allows to estimate uncertainties in the derived velocities. Although analyzing single diffraction hyperbolas is not sufficient to resolve moisture changes in the range of a few percent, we are able to identify a mean temporal trend of increasing moisture content related to the immersion in water at two depth levels of the specimen. The observed trends and the estimated change of concrete moisture content are in good agreement with independent reference measurements. Our results demonstrate the resolvable limit of identifying moisture changes in typical reinforced concrete using GPR diffraction velocity analysis.","PeriodicalId":269482,"journal":{"name":"2018 17th International Conference on Ground Penetrating Radar (GPR)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116089892","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

Archaeological Ground Penetrating Radar Surveys Under Variable Soil Moisture: Visual and Numerical Results 变土壤湿度下的考古探地雷达调查:视觉和数值结果

2018 17th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2018-06-01 DOI: 10.1109/ICGPR.2018.8441655

Isabel M. Morris, Branko Glišió, Andre Gonciar

{"title":"Archaeological Ground Penetrating Radar Surveys Under Variable Soil Moisture: Visual and Numerical Results","authors":"Isabel M. Morris, Branko Glišió, Andre Gonciar","doi":"10.1109/ICGPR.2018.8441655","DOIUrl":"https://doi.org/10.1109/ICGPR.2018.8441655","url":null,"abstract":"Archaeological sites commonly use ground penetrating radar (GPR) as a subsurface archaeological prospection method that can increase the efficiency of archaeological operations. GPR surveys are overwhelmingly sensitive to variations in water content, soil type, and site-specific interference sources. This sensitivity is often neglected in archaeological geophysics applications in favor of collecting all GPR data on a site in the same conditions. GPR scans of a partially excavated Roman villa consisting of different construction materials and phases (limestone, andesite) in central Romania were collected in both dry (pre-rain) and wet (post-rain) conditions with a 500 MHz GPR antenna. Especially in time/depth slices, some subtle limestone features are clearer in the wet scans than the dry scans. Comparison of wet and dry scans via both qualitative visual interpretations and quantitative attribute analysis offers valuable information about features that are nearly invisible in standard conditions. Wet scans enhance the dielectric contrast between some materials, revealing features and unique insights about the site that are not available with scans collected in a single set of soil moisture conditions.","PeriodicalId":269482,"journal":{"name":"2018 17th International Conference on Ground Penetrating Radar (GPR)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123703778","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: 0

Advanced Three-Dimensional Microwave Tomography for the Imaging of Buried Targets 用于地埋目标成像的先进三维微波层析成像

2018 17th International Conference on Ground Penetrating Radar (GPR) Pub Date : 2018-06-01 DOI: 10.1109/ICGPR.2018.8441529

D. Comite, F. Murgia, A. Galli, I. Catapano, F. Soldovieri

{"title":"Advanced Three-Dimensional Microwave Tomography for the Imaging of Buried Targets","authors":"D. Comite, F. Murgia, A. Galli, I. Catapano, F. Soldovieri","doi":"10.1109/ICGPR.2018.8441529","DOIUrl":"https://doi.org/10.1109/ICGPR.2018.8441529","url":null,"abstract":"The imaging of buried targets by means of Ground Penetrating Radar (GPR) surveys is typically affected by nonideal and critical operational conditions. The targets are often located in the near-field region of the illuminating antennas, having size comparable to the probing wavelengths and, thus, to the resolution limits of the considered system. In this work, we investigate the improvements obtainable in the GPR performance when the post-processing of the signals collected at the receiving system accounts for the actual near-field distribution of a directional antenna used to activate the scattering phenomenon. In contrast with more conventional implementations., which are based on a two-dimensional (2-D) scalar representation of the scattering equation., we consider here a three-dimensional (3-D) vector formulation of the scattering problem, modeling the illuminating field with the actual 3-D near-field distribution impressed by the considered antennas. Preliminary 3-D numerical reconstructions of the target are reported and discussed, paving the way for a complete performance assessment of a fully vector near-field microwave imaging with respect to the usual simplified implementations.","PeriodicalId":269482,"journal":{"name":"2018 17th International Conference on Ground Penetrating Radar (GPR)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123872863","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