Enhancing the predictive accuracy of recycled aggregate concrete's strength using machine learning and statistical approaches: a review
Recycled aggregate concrete (RAC) has emerged as a sustainable alternative in the
construction industry, reducing environmental impacts. However, predicting the mechanical …
construction industry, reducing environmental impacts. However, predicting the mechanical …
Prediction of the Properties of Vibro-Centrifuged Variatropic Concrete in Aggressive Environments Using Machine Learning Methods
AN Beskopylny, SA Stel'makh, EM Shcherban'… - Buildings, 2024 - mdpi.com
In recent years, one of the most promising areas in modern concrete science and the
technology of reinforced concrete structures is the technology of vibro-centrifugation of …
technology of reinforced concrete structures is the technology of vibro-centrifugation of …
Sensitivity Analysis of Influencing Factors and Two-Stage Prediction of Frost Resistance of Active-Admixture Recycled Concrete Based on Grey Theory–BPNN
C Fu, M Li - Materials, 2024 - mdpi.com
Sensitivity analysis of influencing factors on frost resistance is carried out in this paper, and a
two-stage neural network model based on grey theory and Back Propagation Neural …
two-stage neural network model based on grey theory and Back Propagation Neural …
Correction: Abed, M.; Mehryaar, E. A Machine Learning Approach to Predict Relative Residual Strengths of Recycled Aggregate Concrete after Exposure to High …
M Abed, E Mehryaar - Sustainability, 2024 - mdpi.com
Correction: Abed, M.; Mehryaar, E. A Machine Learning Approach to Predict Relative Residual
Strengths of Recycled Aggregate Conc Page 1 Citation: Abed, M.; Mehryaar, E. Correction …
Strengths of Recycled Aggregate Conc Page 1 Citation: Abed, M.; Mehryaar, E. Correction …