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What is Predictive Modeling of AAC Compressive Strength about?
This study presents a comprehensive analysis of multivariate predictive modeling for compressive strength in alkali-activated concrete (AAC) using a dataset of 1590 samples. It evaluates four advanced predictive models, with the Artificial Neural Network (ANN) showing superior performance, achieving an R2 of 0.96 and RMSE of 2.82 MPa. The research highlights the importance of curing temperature and other factors in optimizing AAC formulations, contributing to its potential as a sustainable construction mate
- Author
- Rakesh Reddy
- Language
- EN