The analysis of the morphology of localized corrosion attacks (pits) on reinforcement bars in reinforced concrete structures is of significant interest for assessing durability and the impact on structural safety. Traditionally, such analysis is carried out using optical microscopy or profilometry. However, these methods present various challenges and limitations. In recent years, advanced techniques such as confocal microscopy and computed tomography have been introduced, but they too face constraints, particularly in terms of analysis time and sample size. In this context, photogrammetry offers a promising and innovative alternative. This study investigates the use of digital photogrammetry for reconstructing the corroded surfaces of reinforcement bars, evaluating its accuracy in comparison with traditional methods. The results demonstrate that photogrammetric reconstruction can effectively support the assessment of pit morphology.
Analysis of pit morphology on reinforcement bars using photogrammetric technique
M. Gastaldi;E. Zappa
2025-01-01
Abstract
The analysis of the morphology of localized corrosion attacks (pits) on reinforcement bars in reinforced concrete structures is of significant interest for assessing durability and the impact on structural safety. Traditionally, such analysis is carried out using optical microscopy or profilometry. However, these methods present various challenges and limitations. In recent years, advanced techniques such as confocal microscopy and computed tomography have been introduced, but they too face constraints, particularly in terms of analysis time and sample size. In this context, photogrammetry offers a promising and innovative alternative. This study investigates the use of digital photogrammetry for reconstructing the corroded surfaces of reinforcement bars, evaluating its accuracy in comparison with traditional methods. The results demonstrate that photogrammetric reconstruction can effectively support the assessment of pit morphology.| File | Dimensione | Formato | |
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2025-GN_PitMorf.pdf
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