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Optimizing epoxy asphalt tack coat formulations for improved adhesion and working performance of ultrathin wearing course.
- Source :
-
Journal of Adhesion Science & Technology . Oct2024, p1-26. 26p. 15 Illustrations. - Publication Year :
- 2024
-
Abstract
- AbstractInsufficient adhesion between ultrathin wearing courses (UTWCs) and substrate layers can result in pavement distress. Epoxy asphalt exhibits potential as a tack coat due to its high bonding strength and thermal stability. However, its rapid curing may pose challenges to construction schedules. This study aimed to optimize the formulations of epoxy asphalt tack coats (EATCs) to enhance the interfacial adhesion and working performance of UTWCs. The adhesion of EATCs was evaluated through rotational viscosity and tensile tests. Design parameters were optimized using analysis of variance and microscopic tests. Road performance was assessed via interlayer shear and tensile testing on three pavement structures. The results indicated that the curing agent strongly influenced the properties and curing kinetics of EATCs. Formulations containing complex polysebacic polyanhydride (CPSPA-EA) exhibited superior bonding while meeting construction schedules. Microscopic analysis of CPSPA-EA revealed a stable crosslinked network formed at 30% binder dosage. The amount of spraying significantly impacted the adhesion in UTWC structures. The optimal spraying amounts were 0.60 kg/m2 for asphalt concrete (AC-13), 0.55 kg/m2 for stone matrix asphalt (SMA-13), and 0.40 kg/m2 for cement concrete substrate layers. These findings presented an optimization framework for designing EATCs to enhance UTWCs working and long-term performance through balanced tack formulations and application parameters. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01694243
- Database :
- Academic Search Index
- Journal :
- Journal of Adhesion Science & Technology
- Publication Type :
- Academic Journal
- Accession number :
- 180194959
- Full Text :
- https://doi.org/10.1080/01694243.2024.2411335