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Predictive Peridynamic 3D Models of Pitting Corrosion in Stainless Steel With Formation of Lacy Cove

Pitting corrosion of stainless steel is usually in the form of localized pits growing under porous or “lacy” covers. Covered pits are hard to detect and also contribute to stable pit growth. In this study a 3D peridynamic model for pitting corrosion [12] is used to model pit growth in stainless steel with autonomous formation of lacy covers. Lacy cover formation in this model is captured by including a repassivation criterion in the anodic dissolution process based on metal cation concentration. Peridynamic corrosion formulation uses a stochastic procedure in corrosion damage evolution [3] which leads to slightly asymmetric pits and lacy covers with realistic morphology for the first time [2]. The 3D model is validated against experiments from the literature for pits grown in 904L 316L and 304L stainless steels in NaCl solutions. The results show that the model can predict the variations in the topology of lacy covers with high fidelity. They allow us to conclude on the main factors that control pitting corrosion and lacy cover formation in stainless steel. With the high-fidelity simulation of perforations in pit covers this 3D peridynamic corrosion model allows for enhanced prediction of pit growth rate and aspect ratio. The model can be used as an effective tool in safe engineering design.References[1] Jafarzadeh S. Chen Z. and Bobaru F. 2018. Peridynamic modeling of repassivation in pitting corrosion of stainless steel.CORROSION 74(4) pp. 393-414.[2] Jafarzadeh S. Chen Z. and Bobaru F. 2018. Predictive 3D peridynamic model for pitting corrosion and lacy-covers. (in preparation).[3] Chen Z. and Bobaru F. 2015. Peridynamic modeling of pitting corrosion damage.Journal of the Mechanics and Physics of Solids78 pp.352-381.AcknowledgementThis work has been supported by the ONR project “SCC: the Importance of Damage Evolution in the Layer Affected by Corrosion” (program manager William Nickerson) and by the AFOSR MURI Center for Materials Failure Prediction through Peridynamics (program managers Jaimie Tiley David Stargel Ali Sayir Fariba Fahroo). This work was completed utilizing the Holland Computing Center of the University of Nebraska which receives support from the Nebraska Research Initiative.

Product Number: 51319-13374-SG
Author: Siavash Jafarzadeh
Publication Date: 2019
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Product Number: 51319-13410-SG
Author: Roy Johnsen
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Product Number: 51319-13468-SG
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Publication Date: 2019
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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.