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Affinity between bitumen and aggregate in hot mix asphalt by hyperspectral imaging and digital picture analysis

Authors :
Monica Moroni
Giuliano Fontinovo
Alessandro Mei
Antonio D’Andrea
Raffaella Fusco
Nicola Fiore
Source :
Coatings, Volume 11, Issue 6, Coatings, Vol 11, Iss 648, p 648 (2021)
Publication Year :
2021
Publisher :
MPDI, 2021.

Abstract

This study investigated the viability of quantifying the affinity between aggregate and bitumen by means of different imaging techniques. Experiments were arranged in accordance with the rolling-bottle test, as indicated in UNI EN 12697-11, “Test methods for hot bituminous conglomerates—Part 11”. Digital image processing (DIP) techniques have only recently been used for such quantification. The data gathered with a multi-sensor optical platform equipped with VIS–NIR and SWIR spectrometers were compared with DIP outcomes. Data were processed using the unsupervised ISODATA and the supervised parallelepiped algorithms. The exposed aggregate index (EAI) and the bitumen index (BIT) were calculated to retrieve the bitumen percentage coverage of different mixtures. The comparison with the results obtained employing the traditional 6, 24, 48 and 72 testing hours reveals the possibility to implement a standardized analysis methodology combining digital and hyperspectral imagery to highlight potential inaccuracies deriving from the visual interpretation.

Details

Language :
English
Database :
OpenAIRE
Journal :
Coatings, Volume 11, Issue 6, Coatings, Vol 11, Iss 648, p 648 (2021)
Accession number :
edsair.doi.dedup.....ae5ce5cfa42c8a135bc2e773b2701e14