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Scientists say they have designed machine learning models able to predict when and why structures built of reinforced concrete start deteriorating and cracking.

Concrete is the modern world's most common construction material used in the building of a wide variety of structures like bridges, jetties, houses, multi-story car parks and buildings.

However, and despite its strength and durability, reinforced concrete may crack and delaminate as part of a process called spalling, which is commonly caused by the corrosion of steel sections in the concrete.

Researchers from the University of Sharjah now claim to have designed new machine learning models which they believe can predict when and why spalling can occur, thereby providing engineers with ample time to offer solutions and practices on how to stall spalling and its detrimental effects.

The research, published in Scientific Reports, "investigates the multifaceted factors influencing spalling, employing a comprehensive approach that integrates statistical and machine learning techniques for predictive modeling.

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