Utilization of response surface methodology for predicting and optimizing the physical properties of rubberized asphalt modified with nanosilica and waste denim fiber

The complicated behavior of modified asphalt binders in the asphalt matrix makes it difficult to predict their consistency, particularly when waste materials and two or more modifiers are present. This research investigated the effect of waste denim fiber (WDF) and/or nanosilica (NS) on the physical...

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Main Authors: Al-Sabaeei, A.M., Safaeldeen, G.I., Napiah, M.
Format: Article
Published: Elsevier Ltd 2023
Online Access:http://scholars.utp.edu.my/id/eprint/37453/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167404865&doi=10.1016%2fj.clet.2023.100666&partnerID=40&md5=193be3b9991dccb7d97af15d3f072557
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spelling oai:scholars.utp.edu.my:374532023-10-04T13:14:32Z http://scholars.utp.edu.my/id/eprint/37453/ Utilization of response surface methodology for predicting and optimizing the physical properties of rubberized asphalt modified with nanosilica and waste denim fiber Al-Sabaeei, A.M. Safaeldeen, G.I. Napiah, M. The complicated behavior of modified asphalt binders in the asphalt matrix makes it difficult to predict their consistency, particularly when waste materials and two or more modifiers are present. This research investigated the effect of waste denim fiber (WDF) and/or nanosilica (NS) on the physical characteristics of asphalt modified by sludge tire pyrolysis oil (S-TPO). Response surface methodology (RSM) has also been investigated as a potential method to develop prediction models for the penetration, softening point, and temperature sensitivity of control and modified asphalt binders. According to the experimental work's findings, treated asphalt's consistency greatly improved up to a particular level of WDF and/or NS particle content. In comparison to S-TPO-modified asphalt, all modified asphalt binders with WDF and/or NS displayed reduced penetration and greater softening point and penetration index values. This finding may be the result of the interactions between the modifiers utilized, which improve stiffness and temperature resistance. However, there was a minor decrease in consistency at high concentrations of WDF and NS compared to that at lower concentrations, which might be caused by the particles aggregating at such high concentrations. In contrast to the individual modifiers, which have no significant impacts, the composite WDF/NS has a substantial impact on the consistency of S-TPO-modified asphalt, according to RSM analysis. For all responses, the developed RSM-based predictive models showed a correlation coefficient (R2) of greater than 0.74. This shows that the addition of WDF and/or NS was responsible for at least 74 of the changes in the consistency of S-TPO-modified asphalt. The multi-objective optimization revealed that the optimum contents for the S-TPO-modified asphalt to achieve the desired consistency were 5.1 WDF and 2.6 NS. Overall, it was discovered that RSM is an effective method for accurately predicting the consistency of S-TPO-modified asphalt with WDF and/or NS particles. © 2023 The Authors Elsevier Ltd 2023 Article NonPeerReviewed Al-Sabaeei, A.M. and Safaeldeen, G.I. and Napiah, M. (2023) Utilization of response surface methodology for predicting and optimizing the physical properties of rubberized asphalt modified with nanosilica and waste denim fiber. Cleaner Engineering and Technology, 15. ISSN 26667908 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167404865&doi=10.1016%2fj.clet.2023.100666&partnerID=40&md5=193be3b9991dccb7d97af15d3f072557 10.1016/j.clet.2023.100666 10.1016/j.clet.2023.100666 10.1016/j.clet.2023.100666
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/
description The complicated behavior of modified asphalt binders in the asphalt matrix makes it difficult to predict their consistency, particularly when waste materials and two or more modifiers are present. This research investigated the effect of waste denim fiber (WDF) and/or nanosilica (NS) on the physical characteristics of asphalt modified by sludge tire pyrolysis oil (S-TPO). Response surface methodology (RSM) has also been investigated as a potential method to develop prediction models for the penetration, softening point, and temperature sensitivity of control and modified asphalt binders. According to the experimental work's findings, treated asphalt's consistency greatly improved up to a particular level of WDF and/or NS particle content. In comparison to S-TPO-modified asphalt, all modified asphalt binders with WDF and/or NS displayed reduced penetration and greater softening point and penetration index values. This finding may be the result of the interactions between the modifiers utilized, which improve stiffness and temperature resistance. However, there was a minor decrease in consistency at high concentrations of WDF and NS compared to that at lower concentrations, which might be caused by the particles aggregating at such high concentrations. In contrast to the individual modifiers, which have no significant impacts, the composite WDF/NS has a substantial impact on the consistency of S-TPO-modified asphalt, according to RSM analysis. For all responses, the developed RSM-based predictive models showed a correlation coefficient (R2) of greater than 0.74. This shows that the addition of WDF and/or NS was responsible for at least 74 of the changes in the consistency of S-TPO-modified asphalt. The multi-objective optimization revealed that the optimum contents for the S-TPO-modified asphalt to achieve the desired consistency were 5.1 WDF and 2.6 NS. Overall, it was discovered that RSM is an effective method for accurately predicting the consistency of S-TPO-modified asphalt with WDF and/or NS particles. © 2023 The Authors
format Article
author Al-Sabaeei, A.M.
Safaeldeen, G.I.
Napiah, M.
spellingShingle Al-Sabaeei, A.M.
Safaeldeen, G.I.
Napiah, M.
Utilization of response surface methodology for predicting and optimizing the physical properties of rubberized asphalt modified with nanosilica and waste denim fiber
author_facet Al-Sabaeei, A.M.
Safaeldeen, G.I.
Napiah, M.
author_sort Al-Sabaeei, A.M.
title Utilization of response surface methodology for predicting and optimizing the physical properties of rubberized asphalt modified with nanosilica and waste denim fiber
title_short Utilization of response surface methodology for predicting and optimizing the physical properties of rubberized asphalt modified with nanosilica and waste denim fiber
title_full Utilization of response surface methodology for predicting and optimizing the physical properties of rubberized asphalt modified with nanosilica and waste denim fiber
title_fullStr Utilization of response surface methodology for predicting and optimizing the physical properties of rubberized asphalt modified with nanosilica and waste denim fiber
title_full_unstemmed Utilization of response surface methodology for predicting and optimizing the physical properties of rubberized asphalt modified with nanosilica and waste denim fiber
title_sort utilization of response surface methodology for predicting and optimizing the physical properties of rubberized asphalt modified with nanosilica and waste denim fiber
publisher Elsevier Ltd
publishDate 2023
url http://scholars.utp.edu.my/id/eprint/37453/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167404865&doi=10.1016%2fj.clet.2023.100666&partnerID=40&md5=193be3b9991dccb7d97af15d3f072557
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