Magnetic induction tomography for imaging of steel in reinforced concrete structure
Also available in printed version
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| Format: | Doctoral thesis |
| Language: | English |
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Universiti Teknologi Malaysia
2025
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| Online Access: | https://utmik.utm.my/handle/123456789/60121 |
| Abstract | Abstract here |
| _version_ | 1854975075535552512 |
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| author | Zulkarnay Zakaria |
| author2 | Ruzairi Abdul Rahim, supervisor |
| author_facet | Ruzairi Abdul Rahim, supervisor Zulkarnay Zakaria |
| author_sort | Zulkarnay Zakaria |
| description | Also available in printed version |
| format | Doctoral thesis |
| id | utm-123456789-60121 |
| institution | Universiti Teknologi Malaysia |
| language | English |
| publishDate | 2025 |
| publisher | Universiti Teknologi Malaysia |
| record_format | dspace |
| record_pdf | Abstract |
| spelling | utm-123456789-601212025-08-21T02:14:44Z Magnetic induction tomography for imaging of steel in reinforced concrete structure Zulkarnay Zakaria Ruzairi Abdul Rahim, supervisor Electrical engineering Also available in printed version Non-invasive and non-intrusive techniques for steel imaging are becoming popular in the field of civil engineering. These techniques provide important information on steel condition within a reinforced concrete structure in a swift manner without breaking the concrete structure. Most of the existing systems only focus on the x-y plane scanning while the use of volumetric imaging to generate a cross-section and three-dimensional (3D) image of the concrete structure is relatively very rare. This volumetric imaging scheme is suitable for pillar structure imaging as the whole pillar structure can be viewed without any overlapping image. This thesis focuses on the design and development of a non-invasive and non-intrusive magnetic induction tomography system that emphasises on steel imaging in a pillar concrete structure. The developed system employs eight transmitters and eight receivers that are located in aluminium panels, with a region of interest of 280 mm diameter. The system that has been developed consists of several innovations in the electronic circuitry design that is able to improve circuit protection and noise reduction. A series of experiments and analyses for both static and dynamic samples have been carried out to evaluate the performance of the system in several medium conditions based on cross sections and 3D images. The application in reinforced concrete pillar structure imaging has proven that the proposed system is capable to detect and reconstructs of the steel structure image inside a concrete with a minimum resolution of 1.25 inch (3.175 cm) in diameter and a steel break with the gap size of 1.00 cm. The limitations of the developed system are that only cylindrical shape samples have been considered whilst in dynamic measurement, only single sample can be used at each imaging session atiff UTM 251 p. Thesis (Ph.D (Kejuruteraan Elektrik)) - Universiti Teknologi Malaysia, 2014 2025-03-17T06:30:25Z 2025-03-17T06:30:25Z 2014 Doctoral thesis https://utmik.utm.my/handle/123456789/60121 valet-20170430-155357 vital:98465 ENG Closed Access UTM Complete Unpublished application/pdf Universiti Teknologi Malaysia |
| spellingShingle | Electrical engineering Zulkarnay Zakaria Magnetic induction tomography for imaging of steel in reinforced concrete structure |
| thesis_level | PhD |
| title | Magnetic induction tomography for imaging of steel in reinforced concrete structure |
| title_full | Magnetic induction tomography for imaging of steel in reinforced concrete structure |
| title_fullStr | Magnetic induction tomography for imaging of steel in reinforced concrete structure |
| title_full_unstemmed | Magnetic induction tomography for imaging of steel in reinforced concrete structure |
| title_short | Magnetic induction tomography for imaging of steel in reinforced concrete structure |
| title_sort | magnetic induction tomography for imaging of steel in reinforced concrete structure |
| topic | Electrical engineering |
| url | https://utmik.utm.my/handle/123456789/60121 |
| work_keys_str_mv | AT zulkarnayzakaria magneticinductiontomographyforimagingofsteelinreinforcedconcretestructure |