Artificial intelligence in the design, optimization, and performance prediction of concrete materials: a comprehensive review

Abstract

Artificial Intelligence (AI) is transforming concrete research. This review explores various AI techniques that drive cutting-edge solutions across all stages of concrete lifecycle, from material, mixture, and process optimization to quality control and performance prediction. Meta-analysis shows that XGBoost model excels in predicting workability ( R 2 = 0.98), while ensemble models provide the best strength predictions ( R 2 = 0.93). The study highlights trends, gaps, and future AI opportunities in concrete technology.

Topics & Concepts