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- Fernandez, Ignasi, 1984, et al.
(författare)
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Mechanical Properties of 30 Year-Old Naturally Corroded Steel Reinforcing Bars
- 2019
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Ingår i: International Journal of Concrete Structures and Materials. - : Springer Science and Business Media LLC. - 2234-1315 .- 1976-0485. ; 13:1
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Tidskriftsartikel (refereegranskat)abstract
- The present paper investigates the mechanical response of more than 120 corroded reinforcing bars extracted from a real bridge after 30 years in service. Corrosion was quantified using gravimetric and 3D-laser scanning measurements. An expression to relate the average and critical corrosion levels was found, the latter being the main parameter governing the capacity of corroded bars. Whereas the strength of the material was not affected by corrosion, the ultimate strain decreased sharply. However, strains were not only affected by cross-sectional reduction but also by the shape of the critical pit and necking at failure.
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| 2. |
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| 3. |
- Karypidis, Dimitrios, 1991, et al.
(författare)
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Structural Health Monitoring of RC structures using optic fiber strain measurements: a deep learning approach
- 2019
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Ingår i: 20th Congress of IABSE, New York City 2019: The Evolving Metropolis - Report. ; 114
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Konferensbidrag (refereegranskat)abstract
- This paper reports the early findings of an ongoing project aimed at developing new methods to upgrade the current maintenance strategies of the civil and transport infrastructure. As part of these new methods, the use of Machine Learning (ML) algorithms is being investigated to constitute the core of a new generation of more accurate and robust structural health monitoring (SHM) systems for concrete structures. Unlike most of the existing SHM systems, relying on the analysis of the natural frequencies of the structure based on data obtained from accelerometers, the present study uses a distributed optic fiber system to monitor the strain distribution along steel reinforcing bars. The preliminary results of the study indicate that a semi-supervised Deep Autoencoder algorithm (DAE) can successfully quantify the damage attributable to transverse cracks in a reinforced concrete beam subjected to three-point loading. Future applications will feature the determination of crack locations, early detection of reinforcement corrosion as well as other types of damage such as splitting cracks or surface spalling.
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