| Issue |
E3S Web Conf.
Volume 674, 2025
The 14th Engineering International Conference “Achieving Sustainability through Digital Transformation and Technology Development” (EIC 2025)
|
|
|---|---|---|
| Article Number | 06003 | |
| Number of page(s) | 11 | |
| Section | Sustainable Materials and Green Chemistry | |
| DOI | https://doi.org/10.1051/e3sconf/202567406003 | |
| Published online | 11 December 2025 | |
Mechanistic-Empirical Prediction of Rutting and Fatigue Cracking Life for Porous Asphalt Modified with Nano-Silica (Nano-SiO2)
Department of Civil and Planning, Universitas Diponegoro, Semarang, Indonesia
* Corresponding author: andimuflih@lecturer.undip.ac.id
Porous asphalt is widely known for its excellent surface water drainage capabilities, but it has structural durability weaknesses that make it susceptible to damage such as rutting and fatigue cracking. One effort to overcome this problem is by adding nano materials such as Nano-Silica (Nano-SiO2), but quantitative evaluation of its impact on the overall service life of pavement is still limited. Therefore, this study aims to predict the increase in service life against rutting and fatigue cracking damage in porous asphalt pavement modified with Nano-Silica. The method used is a mechanistic-empirical approach, where the dynamic modulus (|E*|) of the mixture is predicted from the rheological data of the binder, which is then used in the KENLAYER program with a hybrid model (linear/non-linear elastic) to calculate the critical strain. The main results show that Nano-SiO2 modification successfully increased the |E*| value by 33.3%, which directly reduced the critical strain and increased the predicted service life of the pavement from 13.38 years (original mixture) to 14.25 years (modified mixture). However, it was also found that rutting in the weak subgrade layer remained the main failure mode that determined the performance of both types of pavements.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

