A study on characteristics evaluation to control quality of asphalt mixture using X-ray CT

Taniguchi, Satoshi; Otani, Jun; Kumagai, Masayuki

doi:10.1080/14680629.2014.944204

Cited by 12 publications

(4 citation statements)

References 14 publications

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“…The pore size and morphology and connectivity of the pore space were the fundamental characteristics of internal structure of asphalt mixtures that controlled asphalt mixture properties [ 13 , 14 , 15 ]. As suggested by Masad et al, Hassan et al, and Shaheen et al [ 12 , 16 , 17 ], a limited set of geometric descriptors could be used to depict the complex structure of asphalt mixtures.…”

Section: Methodsmentioning

confidence: 99%

A Micro-Scale Investigation on the Behaviors of Asphalt Mixtures under Freeze-Thaw Cycles Using Entropy Theory and a Computerized Tomography Scanning Technique

Tan

et al. 2018

Entropy

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Abstract:The thermodynamic behavior of asphalt mixtures is critical to the engineers since it directly relates to the damage in asphalt mixtures. However, most of the current research of the freeze-thaw damage of asphalt mixtures is focused on the bulk body from the macroscale and lacks a fundamental understanding of the thermodynamic behaviors of asphalt mixtures from the microscale perspective. In this paper, to identify the important thermodynamic behaviors of asphalt mixtures under freeze-thaw loading cycle, the information entropy theory, an X-ray computerized tomography (CT) scanner and digital image processing technology are employed. The voids, the average size of the voids, the connected porosity, and the void number are extracted according to the scanned images. Based on the experiments and the CT scanned images, the information entropy evolution of the asphalt mixtures under different freeze-thaw cycles is calculated and the relationship between the change of information entropy and the pore structure characteristics is established. Then, the influences of different freezing and thawing conditions on the thermodynamic behaviors of asphalt mixtures are compared. The combination of information entropy theory and CT scanning technique proposed in this paper provides an innovative approach to investigate the thermodynamics behaviors of asphalt mixtures and a new way to analyze the freeze-thaw damage in asphalt mixtures.

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Section: Methodsmentioning

confidence: 99%

A Micro-Scale Investigation on the Behaviors of Asphalt Mixtures under Freeze-Thaw Cycles Using Entropy Theory and a Computerized Tomography Scanning Technique

Tan

et al. 2018

Entropy

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“…In the past, the authors have performed many studies using an industrial X-ray CT [7,11,12]. A micro-focus type X-ray CT, having a resolution higher than that of the industrial one, was also installed at Kumamoto University in 2010.…”

Section: Summary Of Micro-focus X-ray Ctmentioning

confidence: 99%

Direct Shear Behavior of a Mixture of Sand and Tire Chips Using X-ray Computed Tomography and Discrete Element Method

Chevalier

Tsutsumi

Otani

2019

Int. J. of Geosynth. and Ground Eng.

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Granular materials such as soils, powders, and other particulate materials have been widely used in geotechnical engineering. In particular, sandy soils are one of the representative ones. Recently, there has been attention on environment friendly materials such as tire chips or other waste materials. Besides, one of the key behaviors for these materials is shear behavior, including the effect of dilatancy. In this paper, direct shear behavior of sands as rigid particles and tire chips as elastic particles is discussed. Here, micro-focus type X-ray computed tomography (CT) scanner is used with direct shear tests to investigate the close behavior in granular materials. To discuss the results of CT scanning quantitatively, a digital image correlation method is used and then, the distribution of the displacements in the shear box, shear strain, and volumetric strain are measured using CT data. In addition, a series of numerical analysis using discrete element method (DEM), which is often used for granular materials, is carried out for the same cases as direct shear test to validate the CT results. Finally, based on the comparative discussion between test results with CT scanning and DEM results, the direct shear behavior of different granular materials is precisely investigated for the first time using X-ray CT. The use of tire chips mixed with sand decreases the dilatant behavior under shear stress, and the peaks in shear stress are no longer observed. In addition, tire chips 3 seem to prevent shear bands to propagate in the material.

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“…However, as discussed above, this method is not practical due to the long sublimation step. Additional three-phase segmentation techniques are found in other fields, such as medicine (Bromiley and Thacker, 2008), geomaterials (Bhattad and others, 2010; Hashemi and others, 2014; Taniguchi and others, 2014; Shah and others, 2016), food processing (Pinzer and others, 2012; Masselot and others, 2021), composites (Bale and others, 2012; Moroni and others, 2016) and sea ice (Lieb-Lappen and others, 2017). These techniques also have their own drawbacks.…”

Section: Introductionmentioning

confidence: 99%

A casting method using contrast-enhanced diethylphthalate for micro-computed tomography of snow

Lombardo¹,

Schneebeli²,

Löwe³

2021

J. Glaciol.

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Casting snow is necessary to prevent metamorphism and deformation prior to X-ray micro-computed tomography (μCT) imaging. Current methods are insufficient for large-scale field sampling of snow due to safety considerations associated with the casting medium and/or lengthy sample preparation times. Here, a casting method using contrast-enhanced diethylphthalate (DEP) for μCT of snow is presented. The X-ray contrast of DEP is enhanced with barium titanate nanoparticles (BaTiO3) and iodine (I2). A partially unsupervised, three-phase segmentation method utilizing traditional Gaussian smoothing followed by a three-step process to address transition voxels is also presented. Synthetic images derived from real snow samples are used to evaluate the segmentation method with various configurations of trapped air bubbles. Real snow samples spanning a range of specific surface areas (SSAs) (8–28 m2 kg−1) and densities (135–463 kg m−3) are used to assess the performance of the segmentation method on real, cast samples. The method yields SSA, density and correlation length errors of less than 10% for synthetic images with air bubble surface areas less than 333 m−1 per sample volume for eight of the nine snow samples. For eight of the nine cast samples, the method yields errors of less than 10% for all three parameters.

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A study on characteristics evaluation to control quality of asphalt mixture using X-ray CT

Cited by 12 publications

References 14 publications

A Micro-Scale Investigation on the Behaviors of Asphalt Mixtures under Freeze-Thaw Cycles Using Entropy Theory and a Computerized Tomography Scanning Technique

A Micro-Scale Investigation on the Behaviors of Asphalt Mixtures under Freeze-Thaw Cycles Using Entropy Theory and a Computerized Tomography Scanning Technique

Direct Shear Behavior of a Mixture of Sand and Tire Chips Using X-ray Computed Tomography and Discrete Element Method

A casting method using contrast-enhanced diethylphthalate for micro-computed tomography of snow

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