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Developing a prediction model for low-temperature fracture energy of asphalt mixtures using machine learning approach
Academic Article
View record in Web of Science ®
Overview
Research
Identity
Additional Document Info
Overview
Authors
Mirzaiyanrajeh, Danial
Dave, Eshan
Sias, Jo
Ramsey, Philip
Status
published
Publication Date
January 13, 2022
Has Subject Area
Logistics & Transportation
Published In
The International Journal of Pavement Engineering
Journal
Research
Keywords
Mixture properties
fracture cracking
machine learning
mixture performance
performance prediction
Identity
Digital Object Identifier (doi)
https://doi.org/10.1080/10298436.2021.2024185
Additional Document Info
Volume
24
Issue
2