Hui-Mei Feng

Machine Learning Prediction Models for Compressive Strength of Concrete with Industrial Waste Materials at Elevated Temperatures

Background: Concretes utilized in very high temperature zones, for example, furnaces in chimneys, refineries, and nuclear facilities for the disposal of waste, are exposed not only to temperature changes but also to variations in humidity, all of which drastically impact their Compressive Strength (CS). It has been sho...