Abstract
Corrosion of steel reinforcement is spatially distributed over RC structures due to several factors such as different environmental exposure, concrete quality and cover. Ignoring the effect of spatial variability is a drastic simplification for the prediction of the remaining service life of RC structures. Therefore, it is essential to identify the parameters influencing the spatial steel corrosion and structural performance of corroded RC structures. In this paper, an experimental research was conducted to study the effects of current density, concrete cover, rebar diameter, and fly ash on the spatial variability of steel weight loss, corrosion crack, and structural behavior of corroded RC beams using X-ray and digital image processing technique. The test results showed that low current density induced highly non-uniform corrosion associated with few large pits and cracks at certain locations while higher current density produced more uniform corrosion and cracks occurred over the whole beam. Gumbel distribution parameters were derived from the experimental data of steel weight loss to model spatial steel corrosion. A novel approach was established to assess the reliability of RC structures using finite element analysis and probabilistic simulation considering the spatial variability in steel weight loss. Using the Gumbel distribution parameters derived from the steel weight loss data associated with higher current density may underestimate the non-uniformity of corrosion distribution which can lead to an overestimation of the load capacity of corroded RC structures.
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References
Akiyama, M., Frangopol, D. M., & Yoshida, I. (2010). Time-dependent reliability analysis of existing RC structures in a marine environment using hazard associated with airborne chlorides. Engineering Structures, 32, 3768–3779.
Akiyama, M., Frangopol, D. M., & Matsuzaki, H. (2011). Life-cycle reliability of RC bridge piers under seismic and airborne chloride hazards. Earthquake Engineering and Structural Dynamics, 40, 1671–1687.
Stewart, M. G. (2004). Spatial variability of pitting corrosion and its influence on structural fragility and reliability of RC beams in flexure. Structural Safety, 26, 453–470.
Lim, S., Akiyama, M., Frangopol, D. M., & Jiang, H. (2017). Experimental investigation of the spatial variability of the steel weight loss and corrosion cracking of reinforced concrete members: Novel X-ray and digital image processing techniques. Structure and Infrastructure Engineering, 13, 118–134.
Lim, S., Akiyama, M., & Frangopol, D. M. (2016). Assessment of the structural performance of corrosion-affected RC members based on experimental study and probabilistic modeling. Engineering Structures, 127, 189–205.
Zhang, M., Song, H., Lim, S., Akiyama, M., & Frangopol, D. M. (2019). Reliability estimation of corroded RC structures based on spatial variability using experimental evidence, probabilistic analysis and finite element method. Engineering Structures, 192, 30–52.
Andrade, C., Alonso, C., & Molina, F. J. (1993). Cover cracking as a function of bar corrosion: Part I-Experimental test. Materials and Structures, 26, 453–464.
Gu, X., Guo, H., Zhou, B., Zhang, W., & Jiang, C. (2018). Corrosion non-uniformity of steel bars and reliability of corroded RC beams. Engineering Structures, 167, 188–202.
Kallias, A. N., & Rafiq, M. I. (2013). Performance assessment of corroding RC beams using response surface methodology. Engineering Structures, 49, 671–685.
Zhang, W., Zhou, B., Gu, X., & Dai, H. (2014). Probability distribution model for cross-sectional area of corroded reinforcing steel bars. Journal of Materials in Civil Engineering, 26, 822–832.
Zhang, M., Nishiya, N., Akiyama, M., Lim, S., & Masuda, K. (2020). Effect of the correlation of steel corrosion in the transverse direction between tensile rebars on the structural performance of RC beams. Construction and Building Materials, 264, 120678.
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Akiyama, M., Frangopol, D.M., Zhang, M. (2021). Spatial Variability of Rebar Corrosion and Performance Evaluation of Corroded RC Structures Using Probabilistic Analysis and Finite Element Method. In: Matos, J.C., et al. 18th International Probabilistic Workshop. IPW 2021. Lecture Notes in Civil Engineering, vol 153. Springer, Cham. https://doi.org/10.1007/978-3-030-73616-3_56
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DOI: https://doi.org/10.1007/978-3-030-73616-3_56
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