scholarly journals ASSESSING THE CONDITION OF BURIED PIPE USING GROUND PENETRATING RADAR (GPR)

2018 ◽  
Vol XLII-4/W9 ◽  
pp. 77-81
Author(s):  
S. W. Wahab ◽  
D. N. Chapman ◽  
C. D. F. Rogers ◽  
K. Y. Foo ◽  
N. Metje ◽  
...  
Keyword(s):  
Ground Penetrating Radar ◽  
Asset Management ◽  
Laboratory Experiments ◽  
Structural Defects ◽  
Test Facility ◽  
Buried Pipe ◽  
Grid Pattern ◽  
Buried Pipes ◽  
Service Efficiency ◽  
Ground Penetrating

<p><strong>Abstract.</strong> The invention of Ground Penetrating Radar (GPR) technology has facilitated the possibility of detecting buried utilities and has been used primarily in civil engineering for detecting structural defects, such as voids and cavities in road pavements, slabs and bridge decks, but has not been used to assess the condition of buried pipes. Pipe deterioration can be defined as pipes where, for example, cracking, differential deflection, missing bricks, collapses, holes, fractures and corrosion exists. Assessing the deterioration of underground pipes is important for service efficiency and asset management. This paper describes a research project that focused on the use of GPR for assessing the condition of buried pipes. The research involved the construction of a suitable GPR test facility in the laboratory to conduct controlled testing in a dry sand. Plastic pipes were chosen for the experiments. A series of laboratory experiments were conducted to determine the validity and effectiveness of standard commercially available GPR technology in assessing the condition of buried utilities with common types of damage. Several types of damage to the plastic pipe were investigated with respect to different GPR antenna frequencies. The GPR surveys were carried out in order to obtain signal signatures from damaged and undamaged pipes buried at 0.5<span class="thinspace"></span>m depth. These surveys were organised on a grid pattern across the surface of the sand in the test facility. The results presented in this paper show that GPR can identify certain types of damage associated with a buried pipe under these controlled laboratory conditions.</p>

scholarly journals Underground Object Classification for Urban Roads Using Instantaneous Phase Analysis of Ground-Penetrating Radar (GPR) Data

2018 ◽  
Vol 10 (9) ◽  
pp. 1417 ◽  
Author(s):  
Byeongjin Park ◽  
Jeongguk Kim ◽  
Jaesun Lee ◽  
Man-Sung Kang ◽  
Yun-Kyu An
Keyword(s):  
Phase Analysis ◽  
Ground Penetrating Radar ◽  
Data Interpretation ◽  
Buried Pipes ◽  
Instantaneous Phase ◽  
Analysis Technique ◽  
Different Types ◽  
Ground Penetrating ◽  
Rapid Scanning

Ground-penetrating radar (GPR) has been widely used to detect subsurface objects, such as hidden cavities, buried pipes, and manholes, owing to its noncontact sensing, rapid scanning, and deeply penetrating remote-sensing capabilities. Currently, GPR data interpretation depends heavily on the experience of well-trained experts because different types of underground objects often generate similar GPR reflection features. Moreover, reflection visualizations that were obtained from field GPR data for urban roads are often weak and noisy. This study proposes a novel instantaneous phase analysis technique to address these issues. The proposed technique aims to enhance the visibility of underground objects and provide objective criteria for GPR data interpretation so that the objects can be automatically classified without expert intervention. The feasibility of the proposed technique is validated both numerically and experimentally. The field test utilizes rarely available GPR data for urban roads in Seoul, South Korea and demonstrates that the technique allows for successful visualization and classification of three different types of underground objects.

Assessing the Condition of Buried Pipe Using Ground-Penetrating Radar (GPR)

2014 ◽  
pp. 311-319 ◽  
Author(s):  
S. W. Wahab ◽  
D. N. Chapman ◽  
C. D. F. Rogers ◽  
K. Y. Foo ◽  
S. W. Nawawi ◽  
...  
Keyword(s):  
Ground Penetrating Radar ◽  
Buried Pipe ◽  
Ground Penetrating

GPR attenuation and its numerical simulation in 2.5 dimensions

Geophysics ◽  
1997 ◽  
Vol 62 (2) ◽  
pp. 403-414 ◽  
Author(s):  
Tong Xu ◽  
George A. McMechan
Keyword(s):  
Time Domain ◽  
Ground Penetrating Radar ◽  
Finite Difference Time Domain ◽  
Superposition Method ◽  
Frequency Data ◽  
Buried Pipe ◽  
Ground Penetrating ◽  
Cole Model ◽  
Difference Time

Modeling of ground‐penetrating radar (GPR) data in 2.5 dimensions is implemented by superposition of 2-D finite‐difference, time‐domain solutions of Maxwell's equations for different horizontal wavenumbers. Dielectric, magnetic, and conductive losses are included in a single formulation. Attenuations associated with dielectric and magnetic relaxations are introduced by superposition of Debye functions at a set of relaxation frequencies and using memory variables to replace convolutions between the field variables and the decay functions. Better fits to data may always be obtained using the superposition method than by the Cole‐Cole model. Good fits to both loss‐tangent versus frequency data from lab measurements, and to 500 and 900 MHz field GPR profiles of a buried pipe and the surrounding layers, demonstrate the flexibility and viability of the modeling algorithm. Discrepancies between lab and in‐situ measurements may be attributed to scale differences and local variations that make lab samples less representative of the site than the GPR profile.

scholarly journals Interpretation of Ground Penetrating Radar Dataset using Normalised Cross-Correlation Technique

2019 ◽  
Vol 9 (1) ◽  
pp. 3505-3509
Keyword(s):  
Ground Penetrating Radar ◽  
Template Matching ◽  
Cross Correlation ◽  
Accuracy Assessment ◽  
Current Method ◽  
Soil Condition ◽  
Correlation Technique ◽  
Processing Parameter ◽  
Buried Pipe ◽  
Ground Penetrating

Ground Penetrating Radar (GPR) is one of the latest non-destructive geophysical technology and most widely used in detecting underground utilities. GPR can detect both metal and non-metal, however, it is unable to identify the type of underground utility object. Many researchers come out with their techniques to interpret the GPR image. The current method requires experience in interpretation. Thus, in this study, a new method to detect underground utility utilizing the Normalised Cross-Correlation (NCC) template matching technique is proposed. This technique will reduce the dependency on experts to interpret the radargram, less time consuming and eventually save cost. Upon detection, the accuracy of the system is assessed. From the accuracy assessment performed, it is shown that the system provides accurate detection results for both, depth and pipe size. The Root Mean Square Error (RMSE) for the buried pipe depth obtained by using the proposed system is 0.110 m, whereas the highest percentage match obtained is 91.34%, the remaining 8.66% mismatched might be due to the soil condition, velocity or processing parameter that affected the radargram. Based on the assessment, the developed system seems capable to detect the subsurface utility if the radar image and template image used is acquired using the same antenna frequency, point interval, and similar GPR instrument

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