A global approach to detecting and characterizing water leakage in a concrete bridge deck: Parametric study to validate an adapted Full-Waveform Inversion method
The objective of this study is to address issues related to defects in waterproofing membranes through the use of Ground Penetration Radar to detect water leakage into the concrete layer of bridge decks. Given that processing radar signals based solely on temporal data introduces significant estimat...
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| Language: | English |
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Elsevier
2025-03-01
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| Series: | Transportation Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666691X24000575 |
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| author | Viktoriia Buliuk Amine Ihamouten Christophe Heinkele Xavier Dérobert |
| author_facet | Viktoriia Buliuk Amine Ihamouten Christophe Heinkele Xavier Dérobert |
| author_sort | Viktoriia Buliuk |
| collection | DOAJ |
| description | The objective of this study is to address issues related to defects in waterproofing membranes through the use of Ground Penetration Radar to detect water leakage into the concrete layer of bridge decks. Given that processing radar signals based solely on temporal data introduces significant estimation errors, an advanced method optimized from Full-Waveform Inversion (FWI) is employed. This method accounts for several unknown factors, including boundary conditions, antenna positioning inaccuracies, and approximations inherent in 2D modeling during the inversion process. The method is adaptable and capable of reconstructing both the dielectric and geometric parameters of a multilayered structure with any number of layers and unknown parameters using just a few A-scans (up to 10, depending on the number of parameters and layers). In contrast, other methods typically require several hundred A-scans. This efficiency is achieved due to the two-dimensional nature of the layer system. Additionally, the simplicity of the structure facilitates a much faster and more straightforward inversion algorithm, hence making these features especially advantageous for practical applications. The optimized Full-Waveform Inversion approach allows for an accurate determination of unknown parameters within a multilayered medium. The high accuracy of this method is validated through a direct comparison with experiments, wherein the exact parameters are known. Such an approach enables the attainment of a low relative error using the currently available measurement device. |
| format | Article |
| id | doaj-art-ed77ac1c51cf4f77818e08614821503a |
| institution | Kabale University |
| issn | 2666-691X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Transportation Engineering |
| spelling | doaj-art-ed77ac1c51cf4f77818e08614821503a2025-01-11T06:42:05ZengElsevierTransportation Engineering2666-691X2025-03-0119100283A global approach to detecting and characterizing water leakage in a concrete bridge deck: Parametric study to validate an adapted Full-Waveform Inversion methodViktoriia Buliuk0Amine Ihamouten1Christophe Heinkele2Xavier Dérobert3GeoEND/GERS, Gustave Eiffel University, Bouguenais, France; ENDSUM Research Team, Cerema Est - Agence de Strasbourg, Strasbourg, France; Corresponding author.LAMES/MAST, Gustave Eiffel University, Bouguenais, FranceENDSUM Research Team, Cerema Est - Agence de Strasbourg, Strasbourg, FranceGeoEND/GERS, Gustave Eiffel University, Bouguenais, FranceThe objective of this study is to address issues related to defects in waterproofing membranes through the use of Ground Penetration Radar to detect water leakage into the concrete layer of bridge decks. Given that processing radar signals based solely on temporal data introduces significant estimation errors, an advanced method optimized from Full-Waveform Inversion (FWI) is employed. This method accounts for several unknown factors, including boundary conditions, antenna positioning inaccuracies, and approximations inherent in 2D modeling during the inversion process. The method is adaptable and capable of reconstructing both the dielectric and geometric parameters of a multilayered structure with any number of layers and unknown parameters using just a few A-scans (up to 10, depending on the number of parameters and layers). In contrast, other methods typically require several hundred A-scans. This efficiency is achieved due to the two-dimensional nature of the layer system. Additionally, the simplicity of the structure facilitates a much faster and more straightforward inversion algorithm, hence making these features especially advantageous for practical applications. The optimized Full-Waveform Inversion approach allows for an accurate determination of unknown parameters within a multilayered medium. The high accuracy of this method is validated through a direct comparison with experiments, wherein the exact parameters are known. Such an approach enables the attainment of a low relative error using the currently available measurement device.http://www.sciencedirect.com/science/article/pii/S2666691X24000575BridgeWaterproofing membraneLeakageGround penetrating radar (GPR)Inversion |
| spellingShingle | Viktoriia Buliuk Amine Ihamouten Christophe Heinkele Xavier Dérobert A global approach to detecting and characterizing water leakage in a concrete bridge deck: Parametric study to validate an adapted Full-Waveform Inversion method Transportation Engineering Bridge Waterproofing membrane Leakage Ground penetrating radar (GPR) Inversion |
| title | A global approach to detecting and characterizing water leakage in a concrete bridge deck: Parametric study to validate an adapted Full-Waveform Inversion method |
| title_full | A global approach to detecting and characterizing water leakage in a concrete bridge deck: Parametric study to validate an adapted Full-Waveform Inversion method |
| title_fullStr | A global approach to detecting and characterizing water leakage in a concrete bridge deck: Parametric study to validate an adapted Full-Waveform Inversion method |
| title_full_unstemmed | A global approach to detecting and characterizing water leakage in a concrete bridge deck: Parametric study to validate an adapted Full-Waveform Inversion method |
| title_short | A global approach to detecting and characterizing water leakage in a concrete bridge deck: Parametric study to validate an adapted Full-Waveform Inversion method |
| title_sort | global approach to detecting and characterizing water leakage in a concrete bridge deck parametric study to validate an adapted full waveform inversion method |
| topic | Bridge Waterproofing membrane Leakage Ground penetrating radar (GPR) Inversion |
| url | http://www.sciencedirect.com/science/article/pii/S2666691X24000575 |
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