Damage Analysis and Quality Control of Carbon-Reinforced Concrete Beams Based on In Situ Computed Tomography Tests
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Carbon-reinforced concrete (CRC) is increasingly utilized in construction, due to its unique properties, such as corrosion resistance, high-tensile strength, and durability. Understanding its behavior under different loads is crucial to ensuring its safe and effective use in various construction applications. In this study, three-point bending tests were performed in combination with large-scale in situ computed tomography (CT). This paper presents the related three- and four-dimensional evaluation methods, with emphasis on crack width and quality control. The focus was on large CRC beams, with cross-sectional sizes of up to 80 mm by 160 mm. Such dimensions require extremely high energy during a CT scan. Therefore, a new experimental setup with energies of up to 8 MeV was used in this study. However, such high energies posed new challenges to the analysis methods. Therefore, two methods (digital volume correlation and grayscale profile analysis) for accurate crack width estimation were adapted and applied to the 3D reconstructions. In addition, a photogrammetric stereo image sequence was acquired and analyzed, using digital image correlation to cross-validate the results derived from the 3D crack width estimates. The 3D CT images also played a key role in the quality control measures, including the localization of the carbon-reinforcement and the assessment of porosity within the concrete structure.
Details
Original language | English |
---|---|
Article number | 2669 |
Number of pages | 25 |
Journal | Buildings : open access journal |
Volume | 13 |
Issue number | 10 |
Publication status | Published - 23 Oct 2023 |
Peer-reviewed | Yes |
External IDs
ORCID | /0000-0002-0101-221X/work/145696755 |
---|---|
ORCID | /0000-0001-8735-1345/work/145698187 |
ORCID | /0000-0001-6666-5388/work/145698518 |
ORCID | /0000-0002-1596-7164/work/145699120 |
Scopus | 85175074686 |
Mendeley | 6638448d-876d-3a4f-bb52-b6f94edf0232 |
Keywords
ASJC Scopus subject areas
Keywords
- 3D segmentation, X-ray tomography, crack analysis, digital image correlation (DIC), digital volume correlation (DVC), photogrammetry