Application of machine learning in the prediction of compressive, and shear bond strengths from the experimental data in oil well cement at 80 °C. Ensemble trees boosting approach
Edwin E. Nyakilla, Jun Gu, Naswibu A. Kasimu, Edwin F. Robert, Innocent Ndikubwimana, Thamudi Mohamedy, Mbarouk Shaame, Mbega Ramadhani Ngata, Petro E. Mabeyo
Topics & Concepts
Fly ashMaterials scienceCementCompressive strengthPozzolanaPozzolanCuring (chemistry)Composite materialCementitiousMachine learningPortland cementComputer scienceConcrete and Cement Materials ResearchDrilling and Well EngineeringConcrete Corrosion and Durability