6533b871fe1ef96bd12d2454

RESEARCH PRODUCT

Machine learning techniques to estimate the degree of binder activity of reclaimed asphalt pavement

Ramon BotellaDavide Lo PrestiKamilla VasconcelosKinga BernatowiczAdriana H. MartínezRodrigo MiróLuciano SpechtEdith Arámbula MercadoGustavo Menegusso PiresEmiliano PasquiniChibuike OgboFrancesco PretiMarco PasettoAna Jiménez Del Barco CarriónAntonio RobertoMarko OreškovićKranthi K. KunaGurunath GuduruAmy Epps MartinAlan CarterGaspare GiancontieriAhmed AbedEshan DaveGabrielle Tebaldi

subject

Intel·ligència artificial - Aplicacions a la medicinaArtificial neural networks:Natural Science Disciplines::Mathematics::Data Analysis [DISCIPLINES AND OCCUPATIONS]:disciplinas de las ciencias naturales::matemáticas::análisis de datos [DISCIPLINAS Y OCUPACIONES]Asphalt pavementsIndirect tensile strengthBuilding and ConstructionHot mix asphaltReclaimed asphalt pavementMechanics of Materials:Mathematical Concepts::Algorithms::Artificial Intelligence::Machine Learning [PHENOMENA AND PROCESSES]Machine learningAprenentatge automàticDegree of binder activity:conceptos matemáticos::algoritmos::inteligencia artificial::aprendizaje automático [FENÓMENOS Y PROCESOS]AsfaltSettore ICAR/04 - Strade Ferrovie Ed AeroportiRecyclingGeneral Materials Science:Enginyeria civil::Infraestructures i modelització dels transports::Transport per carretera [Àrees temàtiques de la UPC]Hot mix asphalt Recycling Reclaimed asphalt pavement Degree of binder activity Machine learning Artificial neural networks Random forest Indirect tensile strengthRandom forestCivil and Structural Engineering

description

Part of this research was funded by the project RTI2018-096224-J-I00 that has been cofounded by the Spanish Ministry of Science and Innovation, inside the National Program for Fostering Excellence in Scientific and Technical Research, National Subprogram of Knowledge Generation, 2018 call, in the framework of the Spanish National Plan for Scientific and Technical Research and Innovation 2017-2020, and by the European Union, through the European Regional Development Fund, with the main objective of Promoting technological development, innovation and quality research. Part of this work was financially supported by the Italian Ministry of University and Research with the research Grant PRIN 2017 USR342 Urban Safety, Sustainability and Resilience.

yearjournalcountryeditionlanguage
2022-04-16
10.1617/s11527-022-01933-9https://hdl.handle.net/11351/8306