The corrosion of bridging structures affects their stiffness and load-carrying capacity. Hence, predicting the degree of corrosion is critical for their reliability and safety. This study examined the applicability of the newly developed accelerated corrosion test authorised by ISO 16539 Method B for evaluating the corrosion characteristics of the weathering structural steel. The non-coated weathering steel was subjected to 28, 84, and 168 days of accelerated cyclic corrosion test. The same steel material was subjected to atmospheric exposure tests for 6 and 12 months at different locations. The corrosion behaviours of these different tests were compared by the semivariogram analysis. The results indicated that the corroded surfaces of the non-coated weathering steel obtained from the accelerated cyclic corrosion test and atmospheric exposure tests have similar spatial characteristics. The accelerated cyclic corrosion test could simulate the corrosion behaviour of the weathering steel under actual environments.
The deterioration and damage of aging steel structures have caused huge safety concerns. Corrosion has been identified as a big reason for the deterioration and damage, which causes steel members to lose materials. As a result, the structures’ stiffness and load-bearing capacity will be reduced, which brings economic losses and safety hazards. For the maintenance and repair of steel structures, fast and accurate prediction of corrosion development plays a critical role in numerical simulation analysis, which could save time and costs. In this research, we build a simulation system based on GAN data augmentation with UNet as the generator and MobileNetV2 as the discriminator. The goal is to effectively predict the corrosion behavior of uncoated steel structures over time and under different circumstances. The system can simulate three stages of corrosion based on the dataset collected from experiments. It can also predict the corrosion of steel plates in the next stage. The discriminator of the system can be used to classify the type of steel, the stage of corrosion, and days of corrosion. Based on comparative experiments, our system demonstrates outstanding performance and outperforms the baseline model.
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