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10 Datasets
186 Files
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Get Free AccessDeterioration due to corrosion becomes a more serious problem when the exact time of expected earthquakes is unknown. Therefore, the prediction of performance levels of corroded reinforced concrete (RC) structures is important to prevent serious premature damage. Many models have been developed regarding the effects of corrosion as a function of time. It is possible to evaluate and identify the performance level of RC structures as immediate occupancy (IO), life safety (LS), collapse prevention (CP), and collapse (C). The first part of this study contributes to an understanding of time dependent effects of corrosion on seismic performance levels of corroded RC buildings that will be a guideline for the further studies for strengthening and assessing of RC buildings. The developed model in the first part of this thesis provide to predict the time dependent seismic performance levels of RC buildings by considering three major effects of corrosion (e.g., deformation due to bond-slip relationships, loss of cross sectional area of reinforcement bars and reduction in concrete compressive strength). In second part of this thesis, the effect of corrosion on the bond strength between reinforcement bars and concrete was studied in a series of experiments. An accelerated corrosion method was used to corrode the reinforcement bars embedded in concrete specimens. Pullout tests were performed to develop an empirical model for the ultimate bond strength by evaluating bond strengths in two different concrete mixes, three concrete cover depths and different mass losses of reinforcement bars after corrosion. Bond-slip relationships for the different corrosion levels were compared for different concrete classes and concrete cover depths.
Hakan Yalçıner (Doctorate thesis). Predicting performance level of reinforced concrete structures subject to corrosion as a function of time, 2012, pp. 1-248, Eastern Mediterranean University, Civil Engineering, DOI: https://doi.org/10.71008/emu.thesis.2012.101.
10 datasets containing 186 research files
Hakan Yalçıner. Predicting performance level of reinforced concrete structures subject to corrosion as a function of time. Raw data set for Bond-slip relationships W/C: 0.75, Raw data library, https://doi.org/10.71008/rdl.dataset.2025.112



























Hakan Yalçıner. Predicting performance level of reinforced concrete structures subject to corrosion as a function of time. Raw data set for Bond-slip relationships W/C: 0.40, Raw data library, https://doi.org/10.71008/rdl.dataset.2025.113
Hakan Yalçıner. Predicting performance level of reinforced concrete structures subject to corrosion as a function of time. Raw data set for Time-resistivity relationships, Raw data library, https://doi.org/10.71008/rdl.dataset.2025.114
Hakan Yalçıner. Predicting performance level of reinforced concrete structures subject to corrosion as a function of time. Raw data set for Time-current records, Raw data library, https://doi.org/10.71008/rdl.dataset.2025.161
Hakan Yalçıner. Predicting performance level of reinforced concrete structures subject to corrosion as a function of time. Raw data set for Experimental records, Raw data library, https://doi.org/10.71008/rdl.dataset.2025.187
Hakan Yalçıner. Predicting performance level of reinforced concrete structures subject to corrosion as a function of time. Raw data set for Pull-out tests (W/C: 0.75), Raw data library, https://doi.org/10.71008/rdl.dataset.2025.185
Hakan Yalçıner. Predicting performance level of reinforced concrete structures subject to corrosion as a function of time. Raw data set for Pull-out tests (W/C: 0.40), Raw data library, https://doi.org/10.71008/rdl.dataset.2025.184
Hakan Yalçıner. Predicting performance level of reinforced concrete structures subject to corrosion as a function of time. Raw data set for Accelerated corrosion method.
Hakan Yalçıner. Predicting performance level of reinforced concrete structures subject to corrosion as a function of time. Raw data set for Hydrochloric acid to remove the corrosion products.
Hakan Yalçıner. Predicting performance level of reinforced concrete structures subject to corrosion as a function of time. Raw data set for Initial corrosion crack widths, Raw data library, https://doi.org/10.71008/rdl.dataset.2025.196
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Type
Thesis
Authors
1
Datasets
10
Total Files
186
Language
English
University
Eastern Mediterranean University
DOI
https://doi.org/10.71008/emu.thesis.2012.101
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