Prediction of rheological parameters of 3D printed polypropylene fiber-reinforced concrete (3DP-PPRC) by machine learning
Md Nasir Uddin, Faharidine Mahamoudou, Bo-Yu Deng, Moneef Mohamed Elobaid Musa, Landry Wilfried Tim Sob
Topics & Concepts
PolypropyleneRheologyPython (programming language)Support vector machineMaterials scienceRandom forestMachine learningArtificial intelligenceRheometerComposite materialGradient boostingComputer scienceMathematicsProgramming languageInnovations in Concrete and Construction MaterialsInnovative concrete reinforcement materialsAdditive Manufacturing and 3D Printing Technologies