Time-dependent seismic performance assessment of RC buildings exposed to corrosion
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
Corrosion of reinforcing bars is one of the most notable reasons of the deterioration of reinforced concrete structures. The safety problems related to corrosion and the differences between the required and available budgets that will be used to repair the existing structures make the reliable prediction of the service-life of structures quite critical to optimize the costs by accurately prioritizing the rehabilitation projects and to overcome the structural safety problems. In this study, Reverse Monte Carlo method is used to predict the future corrosion propagation of existing structures in accordance with the existing corrosion levels identified by site inspections. The novelty of the proposed method is to use existing corrosion levels of the reinforcements to increase the reliability of the expectations related to corrosion propagation in the future. In other words, site measurements are used as reference points according to which mathematical models used to predict corrosion levels can be validated. A case study was performed using the proposed method for a corroded reinforced concrete building located in New Zealand and constructed in 1928. As the first step, the existing corrosion level of the building was used to predict how corrosion can propagate in the future. Afterwards, the finite element model of the building was developed using the OpenSees platform, and nonlinear static analyses were performed to assess the future seismic performance of the building. Results shows that the data of the existing corrosion levels of a building can be a valuable input to make reliable estimations for the future seismic performances of the existing buildings.
Author
Hüseyin Çolak
How to Cite
Hüseyin Çolak (Doctorate thesis). Time-dependent seismic performance assessment of RC buildings exposed to corrosion, 2023, Boğaziçi University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Boğaziçi University
- Investigating the factors affecting the acceptance of generative artificial intelligence in business intelligence applications(2025)
- Nükleer güç, emek ve çevre: Akkuyu NGS(2023)
- Behind the gallows: Capital punishment, law, and legislative performance in Turkey (1926-1990)(2025)
- Exploring the values for nature, nature connectedness, pro-environmental behaviour, and well-being: A case study on urban park visitors in Istanbul(2025)
- An assessment on the role of regional development agencies in environmental governance in Türkiye: A case study on Thrace Region(2025)
- From the movement of '68 to the rupture of '71: The transformation of student protests in Turkey(2025)
