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Experimental investigation into the structural and functional performance of Graphene Nano-Platelet (GNP)-Doped asphalt

journal contribution
posted on 2024-11-02, 09:47 authored by Murryam Hafeez, Naveed Ahmad, Mumtaz Kamal, Javaria Rafi, Muhammad ul Haq, Jamal -, Syed Zaidi, Muhammad Nasir
With the increase in the demand for bitumen, it has become essential for pavement engineers to ensure that construction of sustainable pavements occurs. For a complete analysis of the pavement, both its structural and functional performances are considered. In this study, a novel material (i.e., Graphene Nano-Platelets (GNPs)) has been used to enhance both of the types of pavements' performances. Two percentages of GNPs (i.e., 2% and 4% by the weight of the binder) were used for the modification of asphalt binder in order to achieve the desired Performance Grade. GNPs were homogeneously dispersed in the asphalt binder, which was validated by Scanning Electron Microscope (SEM) images and a Hot Storage Stability Test. To analyze the structural performance of the GNPs-doped asphalt, its rheology, resistance to permanent deformation, resistance to moisture damage, and bitumen-aggregate adhesive bond strength were studied. For the analysis of the functional performance, the skid resistance and polishing effect were studied using a British Pendulum Skid Resistance Tester. The results showed that GNPs improved not only the rutting resistance of the pavement but also its durability. The high surface area of GNPs increases the pavement's bonding strength and makes the asphalt binder stiffer. GNPs also provide nano-texture to the pavement, which enhances its skid resistance. Thus, we can recommend GNPs as an all-around modifier that could improve not only the structural performance but also the functional performance of asphalt pavements.

History

Journal

Applied Sciences (Switzerland)

Volume

9

Number

686

Issue

4

Start page

1

End page

19

Total pages

19

Publisher

M D P I AG

Place published

Switzerland

Language

English

Copyright

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

Former Identifier

2006090864

Esploro creation date

2020-06-22

Fedora creation date

2019-04-30

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