Strength prediction and application of cemented paste backfill based on machine learning and strength correction
Bo Zhang, Keqing Li, Siqi Zhang, Yafei Hu, Bin Han
Abstract
, the strength of the filling body is successfully predicted for 153 different filled stopes with different stowing gradient at different curing times. This study provides both effective guidance and a new intelligent method for the support of safety mining.
Topics & Concepts
Mean squared errorArtificial neural networkSlurryCompressive strengthMachine learningArtificial intelligenceCementComputer scienceGeotechnical engineeringMathematicsEngineeringStatisticsMaterials scienceEnvironmental engineeringComposite materialTailings Management and PropertiesRock Mechanics and ModelingUnderground infrastructure and sustainability