Stochastic modeling of chloride-induced pitting corrosion of reinforcement bars in concrete

Llano, Luis; Chryssanthopoulos, Marios K.; Hagen‐Zanker, Alex; Rafiq, MI

doi:10.1201/b16387-384

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…This process was repeated six times to generate the point cloud data of the whole cylindrical surface. As a result, the surface roughness of the three-dimensional corroded wire geometry was successfully obtained by combining the data sets of the six measured perspectives [26]. The scanned data was then analysed in order to obtain quantitative information on the depth, shape and distribution of corrosion.…”

Section: Measurement Of Surface Corrosionmentioning

confidence: 99%

“…7b, comparisons between measurements show that an accuracy with an absolute error of 0.018 mm (standard deviation 0.019 mm) can be achieved. [26,27] A final issue related to the processing of the measurements was that the wire specimens exhibited some curvature. This is presumed to be because galvanized steel wire is generally wound around a reel during production and storage.…”

Section: Measurement Of Surface Corrosionmentioning

confidence: 99%

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Experimental assessment of the fatigue strength of corroded bridge wires using non-contact mapping techniques

2021

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Section: Measurement Of Surface Corrosionmentioning

confidence: 99%

Section: Measurement Of Surface Corrosionmentioning

confidence: 99%

Experimental assessment of the fatigue strength of corroded bridge wires using non-contact mapping techniques

2021

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Prediction of Breakage Position and Remaining Fatigue Life of Corroded Bridge Wires using 3D Scanner

Miyachi

Nakamura

2018

IABSE Symposium, Nantes 2018: Tomorrow’s Megastructures

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<p>Cables and stays of suspension bridges and cable-stayed bridges have been heavily corroded and broken all over the world. Although cable corrosion can be found by visual observation, it is difficult to find the dimension and distribution of corrosion pits. Therefore, there is no established method to predict fatigue failure, the breakage position and remaining fatigue life of the existing wires. In this study, the risk assessment system of corroded bridge wires using a 3D scanner was established. The surface roughness of corroded wire was measured by 3D scanner and the dimension and corroded area of corrosion pits were obtained. It was found that the most corroded part corresponded with the actual broken position, which makes possible to predict the breakage position. In addition, by comparing the fatigue strength with the S-N curves, the remaining life of corroded wires can be predicted considering the dimension of corrosion pits.</p>

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Stochastic modeling of chloride-induced pitting corrosion of reinforcement bars in concrete

Cited by 2 publications

References 2 publications

Experimental assessment of the fatigue strength of corroded bridge wires using non-contact mapping techniques

Experimental assessment of the fatigue strength of corroded bridge wires using non-contact mapping techniques

Prediction of Breakage Position and Remaining Fatigue Life of Corroded Bridge Wires using 3D Scanner

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