Development of an estimative model for the optimal tack coat dosage based on aggregate gradation of hot mix asphalt pavements. (15th August 2016)

• Record Type: Journal Article
• Authors: Raposeiras, A.C.; Rojas-Mora, J.; Piffaut, E.; Movilla-Quesada, D.; Castro-Fresno, D.
• Is Part Of: Construction & building materials. Volume 118(2016)
• Page Start: 1
• Page End: 10
• Publication Date: 2016-08-15
• Subjects: Tack coat -- Aggregate gradation -- Macro-texture -- Optimal dosage -- Shear strength; Building materials -- Periodicals; 624.18
• DOI: 10.1016/j.conbuildmat.2016.05.045
• Languages: English
• ISSNs: 0950-0618

Abstract

Graphical abstract: Highlights: Aggregate larger than 8 mm is directly related to macro-texture. The Gompertz model represents the higher increase of macro-texture on AC22 mixes. Shear strength is influenced more by aggregate gradation than tack coat dosage. Absorption of on site test decreases when % of aggregates larger than 8 mm increases. Abstract: 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.