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Study on Probabilistic Service Life of Reinforced Concrete Bridges Structures in Florida Exposed to Chlorides

Picture for Study on Probabilistic Service Life of Reinforced Concrete Bridges Structures in Florida Exposed to Chlorides
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The durability design of new structures at Florida DOT is currently performed by environmental classification of structures. Bridge substructure and superstructure environments can be assigned to slightly aggressive moderately aggressive or extremely aggressive according to the FDOT Structures Design Guidelines. Each classification requires prerequisites regarding concrete composition and concrete cover. The disadvantage of this durability design approach is that the achievable service life remains unknown. However full-probabilistic service life models for predicting the service life in case chloride-induced reinforcement corrosion are available. The objective of the paper is a selected benchmark of the durability design of reinforced concrete bridges in Florida by means of probabilistic modeling.

Product Number: 51319-13117-SG
Author: Sylvia Kessler
Publication Date: 2019
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$20.00
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Probabilistic Evaluation of Service Life of Reinforced Concrete Beam Element in Marine Environment

Product Number: 51319-13468-SG
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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.
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