Ehsan Sadrossadat, H. Basarir, A. Karrech, M. Elchalakani
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Innovative AI-based multi-objective mixture design optimisation of CPB considering properties of tailings and cement
ABSTRACT Cemented paste backfill (CPB) is a profitable tailings management strategy for underground mines. CPB is designed to meet specific objectives and constraints such as strength and workability at reasonable costs. Traditional design of CPB is costly due to large number of variables such as properties of tailings/cement. This paper proposes an innovative AI-based approach for multi-objective mixture design optimisation of CPB considering properties of tailings and cement. This approach contributes to meliorating mine economy according to the United Nations Sustainable Development Goals by reducing the amount of cement considering pozzolanic potential of tailings, thereby reducing carbon footprint and operational costs.
期刊介绍:
The International Journal of Mining, Reclamation and Environment published research on mining and environmental technology engineering relating to metalliferous deposits, coal, oil sands, and industrial minerals.
We welcome environmental mining research papers that explore:
-Mining environmental impact assessment and permitting-
Mining and processing technologies-
Mining waste management and waste minimization practices in mining-
Mine site closure-
Mining decommissioning and reclamation-
Acid mine drainage.
The International Journal of Mining, Reclamation and Environment welcomes mining research papers that explore:
-Design of surface and underground mines (economics, geotechnical, production scheduling, ventilation)-
Mine planning and optimization-
Mining geostatics-
Mine drilling and blasting technologies-
Mining material handling systems-
Mine equipment