Enhancing the performance of bituminous hot mix pavements with graphene nanoplatelet additive using taguchi optimization

ArticleAçık Erişim

Özet

Flexible pavement, where bitumen serves as the binding material, is the most widely used type of pavement due to its many advantages. Hot mix asphalt (HMA) pavements are often selected for their ability to create safe, comfortable, cost-effective, and sustainable roadways. However, HMA pavements deteriorate due to traffic, climatic conditions, and environmental influences. To improve their resistance to these challenges, bitumen is modified with various additives. This study utilized graphene nanoplatelet (GNP) to modify bitumen due to its strength, flexibility, and cost-effectiveness. Based on the experimental plan established by the Taguchi method, 16 different mixtures were prepared using four parameters, each with four levels: GNP rates of 0 %, 0.35 %, 0.70 %, and 1 %; mixing temperatures of 145°C, 160°C, 175°C, and 190°C; mixing times of 15, 30, 45, and 60 min; and mixing speeds of 1000, 2000, 3000, and 4000 rpm. A comprehensive set of tests, including penetration, softening point, flash point, elastic recovery, rotational thin film oven test (RTFOT), Fourier transform infrared spectroscopy (FTIR), and Marshall design experiments, were conducted on the mixtures to evaluate the influence of the selected parameters and levels on the properties of bitumen. The bitumen's temperature susceptibility and stiffness modulus were analyzed, providing insights into its behavior under varying temperature conditions. The results of the study indicated that the GNP additive led to a reduction in the RTFOT mass loss and softening point of pure bitumen, while increasing the penetration, flash point, elastic recovery, and Marshall stability. The multiple response performance index (MRPI) optimizations identified the optimal levels as a GNP rate of 0.70 %, a mixing temperature of 145°C, a mixing time of 15 min, and a mixing speed of 2000 rpm. GNP contributed to reduced energy consumption and ecological advantages by lowering the optimal mixing temperature to 145°C. It reduced the plastic deformation at high temperatures and improved low-temperature cracking behavior by decreasing the temperature sensitivity of bitumen. © 2025 The Authors

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/10648Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1016/j.cscm.2025.e04350Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorIşık, Suna
dc.contributor.authorBaş, Fatih İrfan
dc.date.accessioned2026-10-18T20:25:49.450337769Z
dc.date.available2026-10-18T20:25:49.450337769Z
dc.date.issued2025
dc.description.abstractFlexible pavement, where bitumen serves as the binding material, is the most widely used type of pavement due to its many advantages. Hot mix asphalt (HMA) pavements are often selected for their ability to create safe, comfortable, cost-effective, and sustainable roadways. However, HMA pavements deteriorate due to traffic, climatic conditions, and environmental influences. To improve their resistance to these challenges, bitumen is modified with various additives. This study utilized graphene nanoplatelet (GNP) to modify bitumen due to its strength, flexibility, and cost-effectiveness. Based on the experimental plan established by the Taguchi method, 16 different mixtures were prepared using four parameters, each with four levels: GNP rates of 0 %, 0.35 %, 0.70 %, and 1 %; mixing temperatures of 145°C, 160°C, 175°C, and 190°C; mixing times of 15, 30, 45, and 60 min; and mixing speeds of 1000, 2000, 3000, and 4000 rpm. A comprehensive set of tests, including penetration, softening point, flash point, elastic recovery, rotational thin film oven test (RTFOT), Fourier transform infrared spectroscopy (FTIR), and Marshall design experiments, were conducted on the mixtures to evaluate the influence of the selected parameters and levels on the properties of bitumen. The bitumen's temperature susceptibility and stiffness modulus were analyzed, providing insights into its behavior under varying temperature conditions. The results of the study indicated that the GNP additive led to a reduction in the RTFOT mass loss and softening point of pure bitumen, while increasing the penetration, flash point, elastic recovery, and Marshall stability. The multiple response performance index (MRPI) optimizations identified the optimal levels as a GNP rate of 0.70 %, a mixing temperature of 145°C, a mixing time of 15 min, and a mixing speed of 2000 rpm. GNP contributed to reduced energy consumption and ecological advantages by lowering the optimal mixing temperature to 145°C. It reduced the plastic deformation at high temperatures and improved low-temperature cracking behavior by decreasing the temperature sensitivity of bitumen. © 2025 The Authors
dc.identifier.doi10.1016/j.cscm.2025.e04350
dc.identifier.issn2214-5095
dc.identifier.scopus2-s2.0-85216876066
dc.identifier.startpagee04350
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/10648
dc.identifier.volume22
dc.identifier.wosWOS:001423216400001
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofCase Studies in Construction Materials
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectFTIR
dc.subjectGraphene Nanoplatelet (GNP)
dc.subjectHot mix asphalt (HMA) Marshall stability
dc.subjectModified bitumen
dc.subjectAsphalt mixtures
dc.subjectAsphalt pavements
dc.subjectBituminous paving materials
dc.subjectEnergy efficiency
dc.subjectSupersaturation
dc.subjectFourier transform infrared
dc.subjectGraphene nanoplatelet
dc.subjectGraphene nanoplatelets
dc.subjectHot mix asphalt
dc.subjectHot mix asphalt marshal stability
dc.subjectHot-mix asphalt pavement
dc.subjectMarshall stability
dc.subjectMixing temperature
dc.subjectTransform infrared spectroscopy
dc.subjectFourier transform infrared spectroscopy
dc.titleEnhancing the performance of bituminous hot mix pavements with graphene nanoplatelet additive using taguchi optimization
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus7
rdl.citation.wos4
rdl.oa.statusgold
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)