Air Void Detection Using Ground-Penetrating Radar and Its Relationship to Moisture Damage

2015 ◽  
Vol 44 (1) ◽  
pp. 20140392 ◽  
Author(s):  
Zhesheng Ge ◽  
Hao Wang ◽  
Hao Yao ◽  
Qingshan Zhang ◽  
Long Zhang
2015 ◽  
Vol 74 (3) ◽  
Author(s):  
Nurhayati Abdul Razak ◽  
Syahrul Fithry Senin ◽  
Roszilah Hamid

 The presence of inevitable air void defects in reinforced concrete components due to poor quality control during construction can further aggravate the moisture and chloride penetration in concrete to accelerate the corrosion process of the reinforcing steel. Non-destructive test  (NDT) methods, Ground Penetrating Radar (GPR) and Impact-Echo (IE), are utilised tp detect the void defects. This study is to compare the accuracy and limitations of both methods in detecting the sizes and depths of the air voids. The sample is a 600 × 400 ×200 mm3 reinforced grade 40 concrete slab with embedded air voids in the sample. The air-voids are introduced in the concrete slab by positioning air-void plastic balls with diameters of 67, 45, 27, 20 and 3 mm each at the depths of 70, 80, 100, 80 and 80 mm, respectively, from the top surface of the slab. Results show that GPR can detect the air voids with sizes larger than 20 mm in diameter with error ranging from -8.9 to 30% from their actual diameters. The IE method is only able to detect the air voids depths and not the voids’ sizes. It is also observed that the void depth estimation acquired by GPR is more accurate only for large size void (67 mm), but for sizes less than that, IE is more accurate in determining their locations. Both methos should be considered for NDT application in detecting voids depending on which parameter accuracy is inticipated.  


2021 ◽  
Vol 11 (19) ◽  
pp. 8820
Author(s):  
Tim Klewe ◽  
Christoph Strangfeld ◽  
Tobias Ritzer ◽  
Sabine Kruschwitz

To date, the destructive extraction and analysis of drilling cores is the main possibility to obtain depth information about damaging water ingress in building floors. The time- and cost-intensive procedure constitutes an additional burden for building insurances that already list piped water damage as their largest item. With its high sensitivity for water, a ground-penetrating radar (GPR) could provide important support to approach this problem in a non-destructive way. In this research, we study the influence of moisture damage on GPR signals at different floor constructions. For this purpose, a modular specimen with interchangeable layers is developed to vary the screed and insulation material, as well as the respective layer thickness. The obtained data set is then used to investigate suitable signal features to classify three scenarios: dry, damaged insulation, and damaged screed. It was found that analyzing statistical distributions of A-scan features inside one B-scan allows for accurate classification on unknown floor constructions. Combining the features with multivariate data analysis and machine learning was the key to achieve satisfying results. The developed method provides a basis for upcoming validations on real damage cases.


2019 ◽  
Vol 83 ◽  
pp. 381-392 ◽  
Author(s):  
Brett Kravitz ◽  
Michael Mooney ◽  
Jurij Karlovsek ◽  
Ian Danielson ◽  
Ahmadreza Hedayat

2020 ◽  
Author(s):  
H. Noshahri ◽  
M. Van Delft, L. Olde Scholtenhuis ◽  
J. Franco Hempenius ◽  
E. Dertien

Author(s):  
M. S. Sudakova ◽  
M. L. Vladov ◽  
M. R. Sadurtdinov

Within the ground penetrating radar bandwidth the medium is considered to be an ideal dielectric, which is not always true. Electromagnetic waves reflection coefficient conductivity dependence showed a significant role of the difference in conductivity in reflection strength. It was confirmed by physical modeling. Conductivity of geological media should be taken into account when solving direct and inverse problems, survey design planning, etc. Ground penetrating radar can be used to solve the problem of mapping of halocline or determine water contamination.


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