TY - GEN
T1 - Influences of current density on the spatial steel corrosion and reliability of corrosion-affected RC beams
AU - Lim, Sopokhem
AU - Zhang, Mingyang
AU - Akiyama, Mitsuyoshi
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number JP 16KK0152 and 16H04403. The opinions and conclusions presented in this paper are only those of the authors.
Publisher Copyright:
© Federation Internationale du Beton (fib) - International Federation for Structural Concrete, 2019.
PY - 2019
Y1 - 2019
N2 - Ignoring the effects of spatial variability of steel corrosion can lead to an error in the long-term performance assessment of RC structures. Recent research has been focusing on modelling spatial steel corrosion using experimental data from the corroded RC members by means of the impressed current method. However, researchers have applied a wide range of current density neglecting its effects on the spatial steel corrosion and the reliability of corrosion-affected RC beams. This paper aims to study effects of current density on the spatial steel corrosion and reliability of RC structural beam using finite element analysis. Three RC beams were corroded using current density of 50, 100, and 500 μA/cm2. The spatial growth in steel weight loss in RC specimens was quantified at different corrosion levels using X-ray and image processing techniques. It was found that low current density of 50 μA/cm2 induced more non-uniform steel corrosion than higher levels of current density. Gumbel distribution parameters were derived from the experimental results and used to approximately model the spatial steel corrosion. An illustrative example was provided to study the effect of the modelled steel corrosion associated with low and high current densities on the reliability analysis of a structural RC beam. It was found that the failure probability of the RC beam estimated using the modelled spatial steel corrosion associated with small current density was higher than that associated with high current density.
AB - Ignoring the effects of spatial variability of steel corrosion can lead to an error in the long-term performance assessment of RC structures. Recent research has been focusing on modelling spatial steel corrosion using experimental data from the corroded RC members by means of the impressed current method. However, researchers have applied a wide range of current density neglecting its effects on the spatial steel corrosion and the reliability of corrosion-affected RC beams. This paper aims to study effects of current density on the spatial steel corrosion and reliability of RC structural beam using finite element analysis. Three RC beams were corroded using current density of 50, 100, and 500 μA/cm2. The spatial growth in steel weight loss in RC specimens was quantified at different corrosion levels using X-ray and image processing techniques. It was found that low current density of 50 μA/cm2 induced more non-uniform steel corrosion than higher levels of current density. Gumbel distribution parameters were derived from the experimental results and used to approximately model the spatial steel corrosion. An illustrative example was provided to study the effect of the modelled steel corrosion associated with low and high current densities on the reliability analysis of a structural RC beam. It was found that the failure probability of the RC beam estimated using the modelled spatial steel corrosion associated with small current density was higher than that associated with high current density.
KW - Current density
KW - Gumbel distribution
KW - Reliability analysis
KW - Spatial steel corrosion
KW - X-ray
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M3 - Conference contribution
AN - SCOPUS:85066102541
T3 - Proceedings of the fib Symposium 2019: Concrete - Innovations in Materials, Design and Structures
SP - 2091
EP - 2097
BT - Proceedings of the fib Symposium 2019
A2 - Derkowski, Wit
A2 - Krajewski, Piotr
A2 - Gwozdziewicz, Piotr
A2 - Pantak, Marek
A2 - Hojdys, Lukasz
PB - International Federation for Structural Concrete
T2 - fib Symposium 2019: Concrete - Innovations in Materials, Design and Structures
Y2 - 27 May 2019 through 29 May 2019
ER -