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Affinity between bitumen and aggregate in hot mix asphalt by hyperspectral imaging and digital picture analysis
- 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.
- Subjects :
- Materials science
digital imaging
0211 other engineering and technologies
02 engineering and technology
Multispectral pattern recognition
Asphalt pavement
021105 building & construction
Digital image processing
Materials Chemistry
affinity
bitumen
hyperspectral analysis
hot mix asphalt
rolling-bottle test
spectrometer
Remote sensing
Aggregate (composite)
Spectrometer
Digital imaging
Hyperspectral imaging
Surfaces and Interfaces
021001 nanoscience & nanotechnology
Engineering (General). Civil engineering (General)
Surfaces, Coatings and Films
Asphalt
TA1-2040
0210 nano-technology
Subjects
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