Development of a micromechanical finite element model from computed tomography images for shear modulus simulation of asphalt mixtures

Coleri, Erdem; Harvey, John T.; Yang, Kai; Boone, John M.

doi:10.1016/j.conbuildmat.2011.12.071

Cited by 88 publications

(21 citation statements)

References 16 publications

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“…In this paper, constitutive model of aggregate was linear elastic, and linear viscoelastic inferred from Generalized Maxwell Model (GMM) was applied to describe mechanical behavior of asphalt mastic, the corresponding parameters were measured by dynamic modulus test [24]. According to the researched results, modulus of basalt aggregate is 55 Gpa [25].…”

Section: Viscoelastic Properties and Numerical Parameters Of Asphalt mentioning

confidence: 99%

Influence of aggregate particles on mastic and air-voids in asphalt concrete

Qian

Wang

et al. 2015

Construction and Building Materials

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Section: Viscoelastic Properties and Numerical Parameters Of Asphalt mentioning

confidence: 99%

Influence of aggregate particles on mastic and air-voids in asphalt concrete

Qian

Wang

et al. 2015

Construction and Building Materials

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“…Asphalt has been treated in several studies, [422][423][424] 431 suggest a physically based criterion for the fracture of complex shape inclusions embedded in a plastically deforming matrix. To apply this criterion, it is necessary to relate the stress concentration in the inclusions with the size of the volume over which this stress is reached.…”

Section: Image Based Modelling Of Composites and Multiphase Materialsmentioning

confidence: 99%

Quantitative X-ray tomography

Maire¹,

Withers²

2013

International Materials Reviews

1,089

601

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X-ray computer tomography (CT) is fast becoming an accepted tool within the materials science community for the acquisition of 3D images. Here the authors review the current state of the art as CT transforms from a qualitative diagnostic tool to a quantitative one. Our review considers first the image acquisition process, including the use of iterative reconstruction strategies suited to specific segmentation tasks and emerging methods that provide more insight (e.g. fast and high resolution imaging, crystallite (grain) imaging) than conventional attenuation based tomography. Methods and shortcomings of CT are examined for the quantification of 3D volumetric data to extract key topological parameters such as phase fractions, phase contiguity, and damage levels as well as density variations. As a non-destructive technique, CT is an ideal means of following structural development over time via time lapse sequences of 3D images (sometimes called 3D movies or 4D imaging). This includes information needed to optimise manufacturing processes, for example sintering or solidification, or to highlight the proclivity of specific degradation processes under service conditions, such as intergranular corrosion or fatigue crack growth. Besides the repeated application of static 3D image quantification to track such changes, digital volume correlation (DVC) and particle tracking (PT) methods are enabling the mapping of deformation in 3D over time. Finally the use of CT images is considered as the starting point for numerical modelling based on realistic microstructures, for example to predict flow through porous materials, the crystalline deformation of polycrystalline aggregates or the mechanical properties of composite materials.

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“…You et al (2009) developed a 3D discrete element method (DEM), heterogeneous model based on x-ray CT images to predict the dynamic modulus of asphalt concrete. In recent years, the use x-ray CT image analysis in the development of finite element modeling has been applied to asphalt concrete (Dai, 2011;Coleri et al, 2012;. Some studies have used x-ray tomography to identify interconnected air voids and assist in modeling moisture transport in asphalt concrete (Kutay, 2007;Masad, 2007).…”

Section: Heterogeneous Modeling Based On X-ray Ct Imagingmentioning

confidence: 99%

X-Ray Tomography Based Microstructural Model for Multi-Physical Analyses of Concrete

Pan

Lloyd

2014

Pavement Materials, Structures, and Performance

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Being a porous and composite medium, concrete's microstructure influences its strength, dimensional stability and durability. Adequate characterization of hardened concrete thus is needed for the proper design and maintenance of concrete-based geo-infrastructure such as foundations and dams. Designs and maintenances of concrete structures generally practiced however assume concrete materials to be a homogeneous material or simply a two-phase composite (aggregate and hardened mortar). Within this context, this research aims to develop a method of modeling concrete microstructure using three-dimensional (3-D) finite element analysis and x-ray tomography, such that concrete microstructure and its influence on response to various physical loadings can be accurately represented. For this research, a MATLAB program was developed to read in a set of two-dimensional (2-D) x-ray images taken of a concrete cylinder test specimen, each in the horizontal plane but at 1 mm apart in height. The grayscale intensity value for each pixel in the images gives an indication of the density of the material at that specific point, making it possible to distinguish different material phases, such as aggregate, hydration products of cement, and voids, etc. In this program, pixels are designated to be hydration products of cement, aggregate (fine and coarse), or void based on the grayscale intensity values. With high-resolution X-ray images, finer designations are possible. Each pixel of solid material is converted to a hexahedron finite element with appropriate coordinates for each of the eight nodes such that the elements connect and gaps between the 2-D images are closed. Each phase is then assigned with a set of unique material properties. The 3-D model is imported in ABAQUS for the finite element analysis. A variety of digital tests can be conducted using this technique, which constitutes an economical alternative to experimental tests.

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Development of a micromechanical finite element model from computed tomography images for shear modulus simulation of asphalt mixtures

Cited by 88 publications

References 16 publications

Influence of aggregate particles on mastic and air-voids in asphalt concrete

Influence of aggregate particles on mastic and air-voids in asphalt concrete

Quantitative X-ray tomography

X-Ray Tomography Based Microstructural Model for Multi-Physical Analyses of Concrete

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