Application of Novel Machine Learning Techniques for Predicting the Surface Chloride Concentration in Concrete Containing Waste Material

• Published in: Materials Vol. 14; no. 9; p. 2297
• Main Authors: Ahmad, Ayaz, Farooq, Furqan, Ostrowski, Krzysztof Adam, Śliwa-Wieczorek, Klaudia, Czarnecki, Slawomir
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 29.04.2021; MDPI
• Subjects: Accuracy; Algorithms; Artificial neural networks; Chloride; Chloride ions; Concrete; Construction; Correlation coefficients; Corrosion; Decision trees; Deep learning; Gene expression; Laboratories; Laboratory tests; Learning theory; Literature reviews; Machine learning; Mechanical properties; Reinforced concrete; Reinforcing steels; Root-mean-square errors; Support vector machines; Variables; concrete; individual algorithm; artificial neural networks; gene expression programming; surface chloride concentration; aggressive ions environment

Structures located on the coast are subjected to the long-term influence of chloride ions, which cause the corrosion of steel reinforcements in concrete elements. This corrosion severely affects the performance of the elements and may shorten the lifespan of an entire structure. Even though experime...