Machine learning based prediction model for thermal conductivity of concrete

Thermal conductivity, k, is an important property of concrete, and it influences the design and energy-efficiency of many concrete-based structures. Due to the requirement of sophisticated test procedures, experimental measurement of k of concrete for every such structure is impractical, and therefore, a model for prediction of k is demanded. For this purpose, a data-driven machine learning (ML) model was developed in this study. The dataset for...