In this work the performance of tack coats on asphalt pavement layers is analysed. Adjustment models based on experimental measurements were implemented, relating surface layer macro-texture and aggregate content larger than 8 mm. The best fits were obtained with a Gompertz model, which follows the expected physical macro-texture changes outside the test range. Shear strength was analysed, through prediction curves of each evaluated tack coat dosage, with an optimum tack coat performance for aggregate contents larger than 8 mm between 45% and 50%, and no relevant influence of the tack coat dosage used.
Bibliographical noteNOTICE: this is the author’s version of a work that was accepted for publication in Construction and Building Materials. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Construction and Building Materials, 118, (2016)
© 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
- Tack coat
- Aggregate gradation
- Optimal dosage
- Shear strength
Raposeiras, A. C., Rojas-Mora, J., Piffaut, E., Movilla-Quesada, D., & Castro-Fresno, D. (2016). Development of an estimative model for the optimal tack coat dosage based on aggregate gradation of hot mix asphalt pavements. Construction and Building Materials, 118, 1-10. https://doi.org/10.1016/j.conbuildmat.2016.05.045