AI-driven sustainable concrete mix design: Hybrid deep Q-Learning and genetic algorithms-based multi-objective machine learning optimizations for high structural strength, low cost, and low carbon footprints
Amruta A. Yadav, Sneha G. Hirekhan, Prabesh Bhandari, Rajesh M. Bhagat, Amit B. Ranit, Sagar Shelare, Manzoore Elahi M. Soudagar, Shubham Sharma, V.K. Bupesh Raja, Abinash Mahapatro, Sarabjit Singh, Abhinav Kumar, Ehab El Sayed Massoud
Topics & Concepts
Compressive strengthFeature (linguistics)Genetic algorithmSustainabilityRandom forestReinforcement learningComputer scienceMachine learningFeature engineeringArtificial intelligenceGenetic programmingSustainable designGreenhouse gasMetreReinforcementSustainable developmentEngineeringAgricultural engineeringEnvironmental scienceCivil engineeringCompressed sensingDeep learningWaste managementInnovative concrete reinforcement materialsConcrete Corrosion and DurabilityConcrete and Cement Materials Research