Stiffness Modulus and Marshall Parameters of Hot Mix Asphalts: Laboratory Data Modeling by Artificial Neural Networks Characterized by Cross-Validation

Stiffness Modulus and Marshall Parameters of Hot Mix Asphalts: Laboratory Data Modeling by Artificial Neural Networks Characterized by Cross-Validation

The present paper discusses the analysis and modeling of laboratory data regarding the mechanical characterization of hot mix asphalt (HMA) mixtures for road pavements, by means of artificial neural networks (ANNs). The HMAs investigated were produced using aggregate and bitumen of different types....

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Bibliographic Details
Main Authors: Nicola Baldo, Evangelos Manthos, Matteo Miani
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Applied Sciences
Subjects:
artificial neural networks
hot mix asphalt
diabase aggregates
limestone aggregates
polymer modified bitumen
stiffness modulus
Marshall test
cross-validation
model selection
Online Access:https://www.mdpi.com/2076-3417/9/17/3502

Internet

https://www.mdpi.com/2076-3417/9/17/3502

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