Litcius/Paper detail

Predicting the small strain shear modulus of sands and sand-fines binary mixtures using machine learning algorithms

Naser Khodkari, Pouria Hamidian, Homayoun Khodkari, Meghdad Payan, Ali Behnood

2023Transportation Geotechnics36 citationsDOI

Topics & Concepts

SiltShear modulusIsotropyAlgorithmBinary numberVoid ratioArtificial neural networkOverburden pressureGeotechnical engineeringMaterials scienceMathematicsComputer scienceMachine learningEngineeringGeologyComposite materialPhysicsArithmeticPaleontologyQuantum mechanicsGeotechnical Engineering and Underground StructuresDam Engineering and SafetyGeotechnical Engineering and Analysis
Predicting the small strain shear modulus of sands and sand-fines binary mixtures using machine learning algorithms | Litcius