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Development of prediction models for moisture susceptibility of asphalt mixture containing combined SBR, waste CR and ASA using support vector regression and artificial neural network methods

Rezvan Babagoli, Mohsen Rezaei

2022Construction and Building Materials20 citationsDOI

Topics & Concepts

AsphaltMaterials scienceUltimate tensile strengthMoistureArtificial neural networkComposite materialMachine learningComputer scienceAsphalt Pavement Performance EvaluationInfrastructure Maintenance and MonitoringTransport Systems and Technology
Development of prediction models for moisture susceptibility of asphalt mixture containing combined SBR, waste CR and ASA using support vector regression and artificial neural network methods | Litcius