Xiaolei Xiong, Qicai Zhou, Jie Zhou, Yunjie Ma, Kai Wang
{"title":"Application of GPR technique and research on high-speed railway tunnel","authors":"Xiaolei Xiong, Qicai Zhou, Jie Zhou, Yunjie Ma, Kai Wang","doi":"10.1109/ICGPR.2012.6254920","DOIUrl":"https://doi.org/10.1109/ICGPR.2012.6254920","url":null,"abstract":"Some adverse conditions exist in the high-speed railway tunnel lining, such as lining insufficient thickness, lining cavity, unreasonable steel reinforcement layout, etc. In this paper, simulation of the typical adverse lining condition was implemented by using the simulation software GPRMax2D. The analysis of the typical radar images based on detection examples of a high-speed railway tunnel was described, and the summary of the features and rules of the adverse lining conditions was introduced in order to improve ground-penetrating radar data feature library, which provides the effective basis for the high-speed railway tunnel non-destructive testing.","PeriodicalId":443640,"journal":{"name":"2012 14th International Conference on Ground Penetrating Radar (GPR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131293064","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}
{"title":"Assessing the influence of moisture on the dielectric properties of asphalt","authors":"R. Evans, M. Frost, R. Morrow","doi":"10.1109/ICGPR.2012.6254922","DOIUrl":"https://doi.org/10.1109/ICGPR.2012.6254922","url":null,"abstract":"The presence of moisture in asphalt can reduce the cohesion between binder and aggregate, and can thus lead to premature deterioration of the pavement structure. This issue is particularly relevant in the UK, as well as other areas around the world, where records suggest climatic trends showing increased total rainfall, and increased frequency of periods of very wet weather. Detection of locations where excessive moisture may be present, or where moisture ingress may be occurring, is important for the maintenance of asphalt pavements. The dielectric properties of asphalt are heavily influenced by the amount of water in the material. Data from ground penetrating radar (GPR) investigation can be used to estimate asphalt dielectric properties, and hence to assess areas of relative moisture content, although it is often difficult to quantify absolute moisture amounts. This paper describes a series of laboratory tests conducted using asphalt core samples taken from road pavements, to establish the relationship between moisture content and the dielectric values determined from GPR data. It has been possible to observe and quantify the asphalt dielectric constant as it changes as a result of changing moisture content. The results of this study can be used to improve estimates of moisture amounts from GPR data obtained from asphalt pavements, and to quantify the effect on dielectric values that increases in moisture content may produce. The findings from the work can assist in producing more confident and accurate outputs from GPR pavement moisture investigations.","PeriodicalId":443640,"journal":{"name":"2012 14th International Conference on Ground Penetrating Radar (GPR)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115934258","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}
{"title":"Fusion of correlated decisions for GPR based buried landmine detection","authors":"G. T. Tesfamariam, D. Mali, A. Zoubir","doi":"10.1109/ICGPR.2012.6254983","DOIUrl":"https://doi.org/10.1109/ICGPR.2012.6254983","url":null,"abstract":"The present paper demonstrates the fusion of correlated binary local decisions as applied to Ground Penetration Radar (GPR) based landmine detection. In this procedure, impulse GPR is used as a sensor and various signal processing techniques are used as detectors and decision makers. Decisions made by the signal processors are sent to the fusion center so that a global decision is to be made. In addition, the Bahadur-Lazarfeld Expansion (BLE) is employed to estimate the correlation among individual decisions. An excellent identification performance is achieved with the proposed technique and results of this technique are compared with the AND, OR and Majority voting techniques.","PeriodicalId":443640,"journal":{"name":"2012 14th International Conference on Ground Penetrating Radar (GPR)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133469013","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}
I. Catapano, F. Soldovieri, L. Crocco, L. Di Donato, R. Persico
{"title":"Utilities mapping via Linear Sampling Method","authors":"I. Catapano, F. Soldovieri, L. Crocco, L. Di Donato, R. Persico","doi":"10.1109/ICGPR.2012.6254881","DOIUrl":"https://doi.org/10.1109/ICGPR.2012.6254881","url":null,"abstract":"The Linear Sampling Method (LSM) is a microwave imaging approach that allows to image, almost in real-time, the shape of hidden objects by processing single frequency data, without neglecting multiple interactions and without requiring assumptions on the (metallic or dielectric) nature of the targets. Since the LSM requires to collect data under a multiview-multistatic measurement configuration, it is not viable to process GPR data collected with standard, monostatic or bistatic, systems, but is definitely a suitable tool for GPR systems of new generation, which instead exploit array of antennas. Accordingly, with respect to the specific problem of buried utilities mapping, in this communication we discuss the capability of the LSM to image the subsurface, by processing data gathered by means of array based GPR systems. A performance assessment is given against synthetic data.","PeriodicalId":443640,"journal":{"name":"2012 14th International Conference on Ground Penetrating Radar (GPR)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114548703","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}
S. Ge, Boyong Sun, Yonghui Zhao, Jun Chen, Lanbo Liu
{"title":"Study of GPR image characteristics of dams' hidden weak points","authors":"S. Ge, Boyong Sun, Yonghui Zhao, Jun Chen, Lanbo Liu","doi":"10.1109/ICGPR.2012.6254864","DOIUrl":"https://doi.org/10.1109/ICGPR.2012.6254864","url":null,"abstract":"For using GPR as a non-destructive testing to the hidden weak points in dam or seawall, how to reasonably analysis the GPR image and obtain the exact interpretations is still an unsolved problem. Combined with the dam engineering features and detection experiences, geophysical models of typical hidden weak points, such as horizontal non-homogeneous layer, slope non-homogeneous zones bearing coarse-grained or fine-grained material mezzanine and cavities filled with different materials in cohesive soil dam, were set up for numerical simulation. Numerical simulations of radar wave performance in these typical hidden weak point models were conducted by using the finite difference time domain (FDTD) solution over a 2D space, with a perfectly matched layer (PML) absorbing boundary conditions. Simulated results illustrated that spatial distribution of hidden weak points can be interpreted from the GPR image. On the condition of complicated environment, interpretation of local hidden weak point character relies upon careful analysis on dynamic characteristics including phase and frequency features of reflected wave, and diffracted wave character. Based on the wave field characteristics of the typical hidden weak points, some GPR images collected at a reservoir dam and seawall had been interpreted. Engineering applications indicated that appropriate numerical model construction and simulation interpretation could be a helpful guide to real GPR test for hidden weak points.","PeriodicalId":443640,"journal":{"name":"2012 14th International Conference on Ground Penetrating Radar (GPR)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116967977","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}
{"title":"Surface Ground-penetrating Radar monitoring of water infiltration inside a ring infiltrometer","authors":"E. Léger, A. Saintenoy","doi":"10.1109/ICGPR.2012.6254948","DOIUrl":"https://doi.org/10.1109/ICGPR.2012.6254948","url":null,"abstract":"In this study, we test the use of a surface Ground-penetrating Radar (GPR) for monitoring the water infiltration using a single ring infiltrometer similar to the Muntz apparatus [1]. We performed an experiment in a natural Fontainebleau sand, with 1600 MHz antennae, using a 60-cm diameter metallic ring partially buried down to 10 cm. During the infiltration of a 5-cm layer of water and the following drainage, GPR traces are acquired every 5 s from a static position inside the ring. We performed gravimetric measurements on several soil samples, evaluated the retention curve function using a laboratory hanging water column and used hydrodynamical and electromagnetic simulations to help with the GPR data interpretation.","PeriodicalId":443640,"journal":{"name":"2012 14th International Conference on Ground Penetrating Radar (GPR)","volume":"625 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115674160","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}
{"title":"Modeling and simulation for ground penetrating radar study of the subsurface structure of the moon","authors":"W. Fa","doi":"10.1109/ICGPR.2012.6254994","DOIUrl":"https://doi.org/10.1109/ICGPR.2012.6254994","url":null,"abstract":"A ground penetrating radar (GPR) is currently within the scope of China's Chang-E 3 lunar mission, with the purpose of studying the subsurface structure of the Moon. In this study, the key factors affecting a lunar GPR performance are discussed firstly. Geometrical optics and ray tracing approaches are used to simulate GPR echoes from the lunar subsurface, with considering the transmission, attenuation, reflection and geometrical spreading of radar waves in lunar subsurface as well as the antenna directivity. Taking Sinus Iridum region as an example, radargrams are simulated on the basis of lunar surface topography and regolith composition. Finally, potential scientific return from GPR echoes is also discussed.","PeriodicalId":443640,"journal":{"name":"2012 14th International Conference on Ground Penetrating Radar (GPR)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114876220","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}
{"title":"Quantitative moisture measurement of road pavements using 3D noise-modulated GPR","authors":"W. Muller, A. Schuermann, B. Reeves","doi":"10.1109/ICGPR.2012.6254919","DOIUrl":"https://doi.org/10.1109/ICGPR.2012.6254919","url":null,"abstract":"Within Queensland, Australia around 90% of state controlled roads are constructed from unbound granular materials with thin bituminous surfacings. These pavements are significantly influenced by moisture. However currently there is no rapid, quantitative method of assessing in-place pavement moisture suitable for use at large scales. This makes it difficult for road engineers to diagnose and treat moisture ingress mechanisms in failing pavements and to properly assess and protect flood weakened roads from heavy vehicle damage. This research focuses on quantitative moisture measurement of unbound granular road pavements using rapid 3D multi-offset ground penetrating radar (GPR) techniques. The work will use an update of an existing 3D noise-modulated GPR (NM-GPR) system to collect multiple wide angle reflection and refraction (WARR) profiles across the road lane, while moving along the road at highway speeds. The intention is to use geophysical methods on this data to determine pavement layer permittivity values and from this estimate in-place pavement moisture. While the NM-GPR update is being finalised, preliminary research has commenced. Synthetic data have been produced to model the expected multi-offset data from the new system. This data have been used to test methods of identifying and tracking subsurface layers and the application of geophysical methods to determine pavement layer permittivity values. Preliminary laboratory investigations of moist pavement materials have also commenced using a vector network analyser (VNA) and a phase-shift measurement technique. This has been done in order to develop the necessary moisture-permittivity relations to calibrate the moisture predictions from the GPR permittivity measurements. This paper describes the current state of research, preliminary simulations and laboratory testing undertaken toward the goal of developing a robust, high-speed method of quantifying in-place road pavement moisture.","PeriodicalId":443640,"journal":{"name":"2012 14th International Conference on Ground Penetrating Radar (GPR)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121149913","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}
{"title":"Pipe condition assessments using Pipe Penetrating Radar","authors":"C. Ékes, B. Neducza","doi":"10.1109/ICGPR.2012.6254979","DOIUrl":"https://doi.org/10.1109/ICGPR.2012.6254979","url":null,"abstract":"This paper describes the development of Pipe Penetrating Radar (PPR), the underground in-pipe application of GPR, a non-destructive testing method that can detect defects and cavities within and outside mainline diameter (>;18 in/450mm) non-metallic (concrete, PVC, HDPE, etc.) underground pipes. The method uses two or more high frequency GPR antennae carried by a robot into underground pipes. The radar data are transmitted to the surface via fibre optic cable and are recorded together with the output from CCTV (and optionally sonar and laser). Proprietary software analyzes the data and pinpoints defects or cavities within and outside the pipe. Thus the testing can identify existing pipe and pipe bedding symptoms that can be addressed to prevent catastrophic failure due to sinkhole development and can provide useful information about the remaining service life of the pipe, enabling accurate predictability of needed intervention or the timing of replacement. This reliable non-destructive testing method significantly impacts subsurface infrastructure condition based asset management by supplying previously unattainable measurable conditions.","PeriodicalId":443640,"journal":{"name":"2012 14th International Conference on Ground Penetrating Radar (GPR)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121960930","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}
{"title":"An automatic algorithm for multi-defect classification inside tunnel using SVM","authors":"L. Xiang, Huilin Zhou, Si-hao Tan","doi":"10.1109/ICGPR.2012.6254908","DOIUrl":"https://doi.org/10.1109/ICGPR.2012.6254908","url":null,"abstract":"An integrated framework is presented in this paper to automatically achieve rebar detection and defection classification inside tunnel. This framework is composed of GPR return preprocessing to perform clutter reduction, a Frequency-wavenumber migration algorithm to focus the hyperbola, an energy scanning method to extract the region of interest(ROI) and to achieve rebar detection, and a multi-class support vector machine(SVM)to classify various types of defection inside tunnel. The experimental results based on simulated data show that the presented framework can automatically and effectively perform rebar detection and defection classification.","PeriodicalId":443640,"journal":{"name":"2012 14th International Conference on Ground Penetrating Radar (GPR)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123564834","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}