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Probabilistic Modeling of the Relationship between Concrete Crack Width and Corrosion-Induced Mass Loss of Steel Bar

Corrosion-induced concrete cover cracking generally experiences two stages: initial stage when cracks are developed from the bar until reaching the concrete surface; propagation stage in which cracks connect and widenon the concrete surface. A lot of studies have been conducted & to investigate corrosion-induced concrete cracking. However most of them focused on the initiation stage and less work was done on the propagation stage particularly on the relation between the crack width and the mass loss of steel bars. The relation between the concrete crack width and the mass loss of steel bar is not deterministic due to the variation of environmental parameters such as temperature moisture availability of oxygen and the nonhomogeniety of concrete cover passive film and metallurgical properties of steel bars. Therefore probabilistic method will be more realistic than the deterministic approaches.In this study the relation between concrete crack width and corrosion-induced mass loss of steel bar was studied in a probabilistic way. Concrete block specimens containing steel bars were prepared and subjected to accelerated corrosion test. Three concrete cover thicknesses were considered including 25.4 mm 50.8 mm and 63.5 mm. The accelerated corrosion tests were terminated when the corrosion of steel bar reached to different levels ranging from 0% to 30% mass loss. After & tests the crack width distribution along its length on the concrete cover was measured with a crack meter and the steel bars were took out of the concrete blocks and cleaned with a sand blaster. The cleaned steel bars were scanned with a 3D laser scanner and the residual cross-sectional areas along the length were determined. For a fixed corrosion loss of steel bar the corresponding crack width on the concrete surface was fitted with a probability density function (PDF). Similarly the area loss of steel bars was also fitted with a PDF for a fixed crack with. Probabilistic analysis results showed that normal distribution function best fitted the distribution of both crack width and mass loss of steel bar.& The mean crack width on the concrete surface increases logarithmically with an increase in the corrosion-induced mass loss. For a fixed& corrosion induced mass loss the mean crack width decreased with an increase in the concrete cover thickness.

Product Number: 51319-13283-SG
Author: Fujian Tang
Publication Date: 2019
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$20.00
$20.00
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Probabilistic Evaluation of Service Life of Reinforced Concrete Beam Element in Marine Environment

Product Number: 51319-13468-SG
Author: Fujian Tang
Publication Date: 2019
$20.00

Chloride-induced steel corrosion is one of the main causes of premature deterioration of reinforced concrete (RC) structures in marine environment. This study aims to develop a probabilistic model to evaluate the service life of reinforced concrete beam element subjected to chloride-induced corrosion attack. Concrete block specimens containing steel bars were prepared and subjected to accelerated corrosion test. As the corrosion-induced mass loss of steel bars reach different levels ranging from 0% to 30% the tests were terminated. The steel bars were took out of the concrete block and cleaned with a sand blaster and then scanned with a 3D laser scanner at intervals of 1 mm. The distribution of the residual cross-sectional areas of the steel bars was determined and fitted with mixed normal distribution functions due to the presence of pitting corrosion. In addition to describe the spatial variation of the pitting corrosion along the length of steel bars a pitting index R was introduced which is the ratio of the average to the minimum cross-section area of corroded steel bars. Probabilistic analysis showed that the pitting index R could be fitted with the Gumbel distribution function. The probabilistic model of corroded steel bars was then introduced to analyze the carrying capacity of rectangular RC beams and consequently the service life of these beams. The service life of these RC beams was defined as the critical limit state when the actual load effects exceed the resistance at any beam element. Based on Monte Carlo simulation the cumulative probability of failure was calculated and the effect of corrosion on the service life of beam element was evaluated in a probabilistic way.