Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis
Joint Authors
Sirin, Okan
Mamun, A. A.
Arifuzzaman, Md
Gazder, Uneb
Alam, Md Shah
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-15
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The modification by polymers and nanomaterials can significantly improve different properties of asphalt.
However, during the service life, the oxidation affects the constituents of modified asphalt and subsequently results in deviation from the desired properties.
One of the important properties affected due to oxidation is the adhesive properties of modified asphalt.
In this study, the adhesive properties of asphalt modified with the polymers (styrene-butadiene-styrene and styrene-butadiene) and carbon nanotubes were investigated.
Asphalt samples were aged in the laboratory by simulating the field conditions, and then adhesive properties were evaluated by different tips of atomic force microscopy (AFM) following the existing functional group in asphalt.
Finally, a predictive modelling and machine learning technique called the classification and regression tree (CART) was used to predict the adhesive properties of modified asphalt subjected to oxidation.
The parameters that affect the behaviour of asphalt have been used to predict the results using the CART.
The results obtained from CART analysis were also compared with those from the regression model.
It was observed that the CART analysis shows more explanatory relationships between different variables.
The model can predict accurately the adhesive properties of modified asphalts considering the real field oxidation and chemistry of asphalt at a nanoscale.
American Psychological Association (APA)
Arifuzzaman, Md& Gazder, Uneb& Alam, Md Shah& Sirin, Okan& Mamun, A. A.. 2019. Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1129408
Modern Language Association (MLA)
Arifuzzaman, Md…[et al.]. Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-7.
https://search.emarefa.net/detail/BIM-1129408
American Medical Association (AMA)
Arifuzzaman, Md& Gazder, Uneb& Alam, Md Shah& Sirin, Okan& Mamun, A. A.. Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-7.
https://search.emarefa.net/detail/BIM-1129408
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129408