Influence of different paving geosynthetics on crack growth phases and strain behavior in asphalt overlays
Open Access
- 1 September 2025
- conference paper
- Published by EDP Sciences in E3S Web of Conferences
- Vol. 644, 03012
Abstract
This study aimed to assess the impact of different paving geosynthetics on crack propagation and the mitigation of reflective cracking in asphalt mixtures based on four-point bending tests combined with Digital Image Correlation (DIC). The study evaluated pre-notched beam configurations of double-layered asphalt slabs, both with and without paving geosynthetics. DIC analysis was used to measure strain patterns in the central area of the specimens during crack propagation. Results clearly showed that paving geosynthetics significantly delayed crack propagation, as reinforced beams endured more cycles than the control beam. Geosynthetic-reinforced asphalt samples achieved tensile strains reduction factors ranging from 0.07 to 0.36, indicating their superior effectiveness in mitigating strain concentrations and maintaining the neutral axis position for longer periods. Findings highlight the critical role of interface shear bond and reinforcement characteristics in prolonging pavement service life.Keywords
This publication has 6 references indexed in Scilit:
- Influence of Paving Interlayer Material on Performance of Full-Scale Asphalt Overlays2025
- Fatigue performance of geosynthetic-reinforced asphalt using DICE3S Web of Conferences, 2024
- The effect of multiaxial geocomposite reinforcement on fatigue performance and crack propagation delay in double-layered asphalt beamsRoad Materials and Pavement Design, 2023
- Crack propagation analysis in bituminous mixtures reinforced by different types of geogrids using digital image correlationConstruction and Building Materials, 2021
- Digital Image Correlation Technique for Measurement of Surface Strains in Reinforced Asphalt Concrete Beams under Fatigue LoadingJournal of Materials in Civil Engineering, 2019
- Reflection Crack Assessment Using Digital Image Analysis2019