Feasibility analysis for predicting the compressive and tensile strength of concrete using machine learning algorithms

• Main Authors: Sami, Balahaha Hadi Ziyad, Kumar, Pavitra, Ahmed, Ali Najah, Amieghemen, Goodnews E., Sherif, Muhammad M., El-Shafie, Ahmed
• Format: Article
• Published: Elsevier 2023
• Subjects: TA Engineering (General). Civil engineering (General); TH Building construction
• Online Access: http://eprints.um.edu.my/38652/
• Institution: Universiti Malaya

Concrete is the most utilized material (i.e., average production of 2 billion tons per year) for the construction of buildings, bridges, roads, dams, and several other important infrastructures. The strength and durability of these structures largely depend on the compressive strength of the concret...