Machine learning assisted multi-objective optimisation and multi-criteria decision analysis ranking for sustainable ready-mixed concrete mix design
To support sustainable ready-mixed concrete (RMC) mix design under the trilemma of performance, cost and carbon dioxide emissions (CDE), a machine learning (ML) assisted workflow was developed that couples multi-objective optimisation with multi-criteria decision analysis (MCDA) ranking. A unified flowability index (FL...