A Machine Learning Approach to Determine Airport Asphalt Concrete Layer Moduli Using Heavy Weight Deflectometer Data

A Machine Learning Approach to Determine Airport Asphalt Concrete Layer Moduli Using Heavy Weight Deflectometer Data

An integrated approach based on machine learning and data augmentation techniques has been developed in order to predict the stiffness modulus of the asphalt concrete layer of an airport runway, from data acquired with a heavy weight deflectometer (HWD). The predictive model relies on a shallow neur...

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Bibliographic Details
Main Authors: Nicola Baldo, Matteo Miani, Fabio Rondinella, Clara Celauro
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sustainability
Subjects:
runway
heavy weight deflectometer
stiffness modulus
maintenance
shallow neural network
machine learning
Online Access:https://www.mdpi.com/2071-1050/13/16/8831

Internet

https://www.mdpi.com/2071-1050/13/16/8831

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