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

Saved in:
Bibliographic Details
Main Authors: Al-Sabaeei, Abdulnaser M, Alhussian, Hitham, Abdulkadir, Said Jadid, Giustozzi, Filippo, Jakarni, Fauzan Mohd, Yusoff, Nur Izzi Md
Format: Article
Published: Elsevier 2023
Online Access:http://scholars.utp.edu.my/id/eprint/37033/
Tags: Add Tag
No Tags, Be the first to tag this record!
id oai:scholars.utp.edu.my:37033
record_format eprints
spelling oai:scholars.utp.edu.my:370332023-09-06T04:37:45Z http://scholars.utp.edu.my/id/eprint/37033/ Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods Al-Sabaeei, Abdulnaser M Alhussian, Hitham Abdulkadir, Said Jadid Giustozzi, Filippo Jakarni, Fauzan Mohd Yusoff, Nur Izzi Md Elsevier 2023 Article NonPeerReviewed Al-Sabaeei, Abdulnaser M and Alhussian, Hitham and Abdulkadir, Said Jadid and Giustozzi, Filippo and Jakarni, Fauzan Mohd and Yusoff, Nur Izzi Md (2023) Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods. Construction and Building Materials, 363. p. 129871.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Article
author Al-Sabaeei, Abdulnaser M
Alhussian, Hitham
Abdulkadir, Said Jadid
Giustozzi, Filippo
Jakarni, Fauzan Mohd
Yusoff, Nur Izzi Md
spellingShingle Al-Sabaeei, Abdulnaser M
Alhussian, Hitham
Abdulkadir, Said Jadid
Giustozzi, Filippo
Jakarni, Fauzan Mohd
Yusoff, Nur Izzi Md
Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods
author_facet Al-Sabaeei, Abdulnaser M
Alhussian, Hitham
Abdulkadir, Said Jadid
Giustozzi, Filippo
Jakarni, Fauzan Mohd
Yusoff, Nur Izzi Md
author_sort Al-Sabaeei, Abdulnaser M
title Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods
title_short Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods
title_full Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods
title_fullStr Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods
title_full_unstemmed Predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods
title_sort predicting the rutting parameters of nanosilica/waste denim fiber composite asphalt binders using the response surface methodology and machine learning methods
publisher Elsevier
publishDate 2023
url http://scholars.utp.edu.my/id/eprint/37033/
_version_ 1778164779112726528
score 13.160551