Application of Machine Learning to Predict the Engineering Characteristics of Construction Material

The rapid development of machine learning technology has resulted in its increasing application in diverse fields, with the expectation of further extension in the future. This trend is driven by the exponential growth in data generation and accumulation, as well as the advancement of computing power capable of processing vast amounts of data. While experimental research has traditionally been recognized as a major method for investigating material performance in the construction field, there is a growing body of research worldwide on novel construction materials that cannot be fully analyzed using experimental approaches alone. This review paper aims to present case studies that employ machine learning technology to analyze construction materials.