Litcius/Paper detail

The prediction of fire performance of concrete-filled steel tubes (CFST) using artificial neural network

Mohammad Javad Moradi, Kambiz Daneshvar, Dina Ghazi-nader, Hamzeh Hajiloo

2021Thin-Walled Structures112 citationsDOI

Topics & Concepts

Artificial neural networkResidualCorrelation coefficientFire resistanceCoefficient of determinationStructural engineeringEngineeringResidual strengthComputer scienceArtificial intelligenceMachine learningMaterials scienceComposite materialAlgorithmFire effects on concrete materialsStructural Load-Bearing AnalysisStructural Behavior of Reinforced Concrete
The prediction of fire performance of concrete-filled steel tubes (CFST) using artificial neural network | Litcius