Magnetic Non-Destructive Evaluation of Reinforced Concrete Structures—Methodology, System, and Identification Results
This paper aims to present a non-destructive magnetic method developed for simultaneously identifying key parameters in reinforced concrete (RC) structures. This method is designed to evaluate concrete structures containing dense reinforcement meshes. The development process of the system is present...
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| Format: | Article |
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MDPI AG
2024-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/24/11695 |
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| author | Paweł Karol Frankowski Piotr Majzner Marcin Mąka Tomasz Stawicki Tomasz Chady |
| author_facet | Paweł Karol Frankowski Piotr Majzner Marcin Mąka Tomasz Stawicki Tomasz Chady |
| author_sort | Paweł Karol Frankowski |
| collection | DOAJ |
| description | This paper aims to present a non-destructive magnetic method developed for simultaneously identifying key parameters in reinforced concrete (RC) structures. This method is designed to evaluate concrete structures containing dense reinforcement meshes. The development process of the system is presented step by step. First, the hardware layer of the system is discussed and documented. The proposed modifications to the excitation system enhanced the method’s effectiveness compared to the conventional Magnetic Flux Leakage (MFL) technique. Next, this paper presents the extracted association rules that connect the parameters of the RC structure to the properties of resultant waveforms. The relations are verified with measurement results. Finally, the identification of the model’s design, implementation, and deployment processes are presented. A universal methodology for non-destructive testing investigations was developed and is described throughout the research. |
| format | Article |
| id | doaj-art-9650cf1f832a4cb7ae6f461921b4ae5b |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-9650cf1f832a4cb7ae6f461921b4ae5b2024-12-27T14:08:05ZengMDPI AGApplied Sciences2076-34172024-12-0114241169510.3390/app142411695Magnetic Non-Destructive Evaluation of Reinforced Concrete Structures—Methodology, System, and Identification ResultsPaweł Karol Frankowski0Piotr Majzner1Marcin Mąka2Tomasz Stawicki3Tomasz Chady4Faculty of Computer Science and Telecommunications, Maritime University of Szczecin, Wały Chrobrego 1-2, 70-500 Szczecin, PolandFaculty of Computer Science and Telecommunications, Maritime University of Szczecin, Wały Chrobrego 1-2, 70-500 Szczecin, PolandFaculty of Computer Science and Telecommunications, Maritime University of Szczecin, Wały Chrobrego 1-2, 70-500 Szczecin, PolandDepartment of Engineering of Renewable Energy Sources, Faculty of Environmental Management and Agriculture, West Pomeranian University of Technology in Szczecin, Papieza Pawla VI Street 1, 71-459 Szczecin, PolandFaculty of Electrical Engineering, West Pomeranian University of Technology, Szczecin, ul. Sikorskigo 37, 70-313 Szczecin, PolandThis paper aims to present a non-destructive magnetic method developed for simultaneously identifying key parameters in reinforced concrete (RC) structures. This method is designed to evaluate concrete structures containing dense reinforcement meshes. The development process of the system is presented step by step. First, the hardware layer of the system is discussed and documented. The proposed modifications to the excitation system enhanced the method’s effectiveness compared to the conventional Magnetic Flux Leakage (MFL) technique. Next, this paper presents the extracted association rules that connect the parameters of the RC structure to the properties of resultant waveforms. The relations are verified with measurement results. Finally, the identification of the model’s design, implementation, and deployment processes are presented. A universal methodology for non-destructive testing investigations was developed and is described throughout the research.https://www.mdpi.com/2076-3417/14/24/11695reinforcement bar evaluationrebarsreinforced concretebridgesmachine learningfeature extraction |
| spellingShingle | Paweł Karol Frankowski Piotr Majzner Marcin Mąka Tomasz Stawicki Tomasz Chady Magnetic Non-Destructive Evaluation of Reinforced Concrete Structures—Methodology, System, and Identification Results Applied Sciences reinforcement bar evaluation rebars reinforced concrete bridges machine learning feature extraction |
| title | Magnetic Non-Destructive Evaluation of Reinforced Concrete Structures—Methodology, System, and Identification Results |
| title_full | Magnetic Non-Destructive Evaluation of Reinforced Concrete Structures—Methodology, System, and Identification Results |
| title_fullStr | Magnetic Non-Destructive Evaluation of Reinforced Concrete Structures—Methodology, System, and Identification Results |
| title_full_unstemmed | Magnetic Non-Destructive Evaluation of Reinforced Concrete Structures—Methodology, System, and Identification Results |
| title_short | Magnetic Non-Destructive Evaluation of Reinforced Concrete Structures—Methodology, System, and Identification Results |
| title_sort | magnetic non destructive evaluation of reinforced concrete structures methodology system and identification results |
| topic | reinforcement bar evaluation rebars reinforced concrete bridges machine learning feature extraction |
| url | https://www.mdpi.com/2076-3417/14/24/11695 |
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