Assessment of Adhesion Between Bituminous Binder and Mineral Aggregate Using Digital Image Analysis

Trejbal, Jan; Valentová, Tereza; Horová, Tereza

doi:10.14311/app.2019.21.0038

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…Trejbal et al [10] proposed an entropy segmentation algorithm to segregate bitumencoated and uncoated stone zones. The algorithm evaluates surface smoothness using the image local entropy estimate.…”

Section: Related Workmentioning

confidence: 99%

“…A USB camera (8) and a set of eight LED sources (9) are installed in the internal cavity of the device to analyze the adhesion level of bitumen to a stone. An Nvidia Jetson Nano microcomputer (10) is provided in the device to control the equipment and analyze samples. A three-pin voltage supply connector is located on the back panel to power the HSS (11).…”

Section: Hardware and Software System Structurementioning

confidence: 99%

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Design and Implementation of a Hardware and Software System for Visual Assessment of Bituminous Coating Quality

Kamianskii,

Boldyrev,

Vezdenetsky

et al. 2023

Sensors

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Typically, the quality of the bitumen adhesion in asphalt mixtures is assessed manually by a group of experts who assign subjective ratings to the thickness of the residual bitumen coating on the gravel samples. To automate this process, we propose a hardware and software system for visual assessment of bituminous coating quality, which provides the results both in the form of a discrete estimate compatible with the expert one, and in a more general percentage for a set of samples. The developed methodology ensures static conditions of image capturing, insensitive to external circumstances. This is achieved by using a hardware construction designed to provide capturing the samples at eight different illumination angles. As a result, a generalized image is obtained, in which the effect of highlights and shadows is eliminated. After preprocessing, each gravel sample independently undergoes surface semantic segmentation procedure. Two most relevant approaches of semantic image segmentation were considered: gradient boosting and U-Net architecture. These approaches were compared by both stone surface segmentation accuracy, where they showed the same 77% result and the effectiveness in determining a discrete estimate. Gradient boosting showed an accuracy 2% higher than the U-Net for it and was thereby chosen as the main model when developing the prototype. According to the test results, the evaluation of the algorithm in 75% of cases completely coincided with the expert one, and it had a slight deviation from it in another 22% of cases. The developed solution allows for standardizing the data obtained and contributes to the creation of an interlaboratory digital research database.

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Section: Related Workmentioning

confidence: 99%

Section: Hardware and Software System Structurementioning

confidence: 99%

Design and Implementation of a Hardware and Software System for Visual Assessment of Bituminous Coating Quality

Kamianskii,

Boldyrev,

Vezdenetsky

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Two semi-automatic methods that reliably replace the subjective assessment are presented in [21,22]. The first one is based on gray level thresholding (GLT), while the second one on entropy-based image segmentation (EIS).…”

Section: Introductionmentioning

confidence: 99%

Affinity between Bitumen and Aggregate in Hot Mix Asphalt by Hyperspectral Imaging and Digital Picture Analysis

et al. 2021

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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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“…Generally speaking, two evaluating basic methods are known [12]: (i) loose asphalt mixture tests and (ii) mechanical analysis. The first of them is based on subjective visual or digital image analysis [13,14]. Asphalt mixture is made according to relevant technical standard [6,15] and then exposed to hot stripping water or abrasion for certain period.…”

Section: Introductionmentioning

confidence: 99%

Mechanical and Image Analysis of Adhesion Between Mineral Aggregate and Bituminous Binder

Trejbal¹,

Valentová²,

Nežerka³

et al. 2020

APP

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Asphalt mixtures often fail due to poor interaction between mineral aggregate and bituminous binder. Therefore, many efforts are being made on adhesion improvement between the two materials. In this work, paving grade bitumen 50/70 was doped with two types of adhesion promoters. Asphalt mixtures composed of crushed aggregate Brant coated by binder were made and exposed to stripping water. Then, they were subjected to visual and digital image analysis aiming to quantify aggregate residual bitumen-coated areas. Besides, two cylindrical samples of aggregate were bonded together by a thin film of bitumen doped with adhesion promoters. After solidification of binder, force needed for separation of the two parts was measured. It was shown that residual bitumen-coated areas were increased by 20-30% by adding adhesion promoters into binder. Mechanical adhesion of thus modified binder to aggregate was increased by up to twice.

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Assessment of Adhesion Between Bituminous Binder and Mineral Aggregate Using Digital Image Analysis

Cited by 4 publications

References 7 publications

Design and Implementation of a Hardware and Software System for Visual Assessment of Bituminous Coating Quality

Design and Implementation of a Hardware and Software System for Visual Assessment of Bituminous Coating Quality

Affinity between Bitumen and Aggregate in Hot Mix Asphalt by Hyperspectral Imaging and Digital Picture Analysis

Mechanical and Image Analysis of Adhesion Between Mineral Aggregate and Bituminous Binder

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