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.

Affinity between bitumen and aggregate in hot mix asphalt by hyperspectral imaging and digital picture analysis / Mei, Alessandro; Fusco, Raffaella; Moroni, Monica; Fiore, Nicola; Fontinovo, Giuliano; D'Andrea, Antonio. - In: COATINGS. - ISSN 2079-6412. - 11:6(2021). [10.3390/coatings11060648]

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

Fusco, Raffaella
Secondo
Formal Analysis
;
Moroni, Monica
Methodology
;
Fiore, Nicola
Formal Analysis
;
D'Andrea, Antonio
Supervision
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.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11573/1549484
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