Putra Jaya, Ramadhansyah and A. A., Mohammed and Mwangi, P. M. and M. P., Anwar and Leong, Lau Teck and Jayaprakash, Jaganathan and Z. F., Mohamed Jaafar and Mashros, N. (2021) Nano-Silica modifier asphalt concrete under rutting resistance and shape memory component. In: IOP Conference Series: Earth and Environmental Science, 4th National Colloquium on Wind and Earthquake Engineering , 16-17 October 2020 , Putrajaya, Malaysia. pp. 1-10., 682 (1). ISSN 1755-1307 (Print); 1755-1315 (Online)
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Abstract
Permanent deformation is pavement distress that has been the root cause of failure of roads globally. With the formation of a rut, follows cracking which inevitably damages the asphalt and sub-base layers. To curb the rutting distress, this study investigates the use of nanosilica, miniaturized silica particles to the power of 10-9 to modify the binder of the asphalt concrete. The nano-silica was added at 4%, 6% and 15% by weight of bitumen into the asphalt mixture. Marshall Mix design method was used to prepare the forty-eight samples used in the study. Repeated Load Permanent Deformation (RLPD) test and Shape Memory (SM) were performed at two temperatures (25°C and 40°C). It was found that the rutting resistance and shape memory had the best performance with the addition of 15% nano-silica at 40°C. Addition of nano-silica at 15% by weight of bitumen had the best amelioration of not only permanent deformation resistance but also shape retention thus enhancing pavement performance.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Concretes; Pavements; Earthquake engineering; Mix design methods |
| Subjects: | T Technology > TE Highway engineering. Roads and pavements |
| Faculty/Division: | College of Engineering |
| Depositing User: | PM Dr. Ramdhansyah Putra Jaya |
| Date Deposited: | 27 Apr 2021 06:36 |
| Last Modified: | 27 Apr 2021 06:36 |
| URI: | http://umpir.ump.edu.my/id/eprint/30833 |
| Download Statistic: | View Download Statistics |
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