Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods

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Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods

It is challenging to predict the mechanical properties of modified asphalt binders because of their complex nonlinear viscoelastic behavior. This study evaluates and compares the feasibility of using the response surface methodology (RSM) and machine learning (ML) methods to predict the shear strai...

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Bibliographic Details
Main Authors:	Al-Sabaeei, Abdulnaser M., Alhussian, Hitham, Abdulkadir, Said Jadid, Giustozzi, Filippo, Mohd Jakarni, Fauzan, Md Yusoff, Nur Izzi
Format:	Article
Published:	Elsevier 2023
Online Access:	http://psasir.upm.edu.my/id/eprint/109201/

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