Journal Article10.1617/S11527-008-9408-4
Dynamic modulus simulation of the asphalt concrete using the X-ray computed tomography images
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TL;DR: In this article, the dynamic modulus of asphalt mixture using both two-dimensional and three-dimensional discrete element method (DEM) generated from the X-ray computed tomography (X-ray CT) images was analyzed.
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Abstract: The objective of this study is to predict the dynamic modulus of asphalt mixture using both two-dimensional (2D) and three-dimensional (3D) Distinct Element Method (DEM) generated from the X-ray computed tomography (X-ray CT) images. The 3D internal microstructure of the asphalt mixtures (i.e., spatial distribution of aggregate, sand mastic and air voids) was obtained using the X-ray CT. The X-ray CT images provided exact locations of aggregate, sand mastic and air voids to develop 2D and 3D models. An experimental program was developed with a uniaxial compression test to measure the dynamic modulus of sand mastic and asphalt mixtures at different temperatures and loading frequencies. In the DEM simulation, the mastic dynamic modulus and aggregate elastic modulus were used as input parameters to predict the asphalt mixture dynamic modulus. Three replicates of a 3D DEM and six replicates of a 2D DEM were used in the simulation. The strain response of the asphalt concrete under a compressive load was monitored, and the dynamic modulus was computed. The moduli of the 3D DEM and 2D DEM were then compared with both the experimental measurements results. It was revealed that the 3D discrete element models successfully predicted the asphalt mixture dynamic modulus over a range of temperatures and loading frequencies. It was found that 2D discrete element models under predicted the asphalt mixture dynamic modulus.
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Citations
2D and 3D homogenization and fracture analysis of concrete based on in-situ X-ray Computed Tomography images and Monte Carlo simulations
TL;DR: In this paper, Monte Carlo simulations of realistic meso-scale models based on high-resolution micro-scale X-ray Computed Tomography (XCT) images, using asymptotic homogenization and the concrete damaged plasticity (CDP) model, were used to characterize mesoscale mechanical behaviors of concrete.
128
Modelling and evaluation of aggregate morphology on asphalt compression behavior
Pengfei Liu,Jing Hu,Dawei Wang,Dawei Wang,Markus Oeser,Stefan Alber,Wolfram Ressel,Gustavo Canon Falla +7 more
TL;DR: In this article, a microstructural model of asphalt mixture used for uniaxial compression test was reconstructed based on X-ray CT scans, thus maintaining the original morphology of the aggregate.
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Two- and three-dimensional micromechanical viscoelastic finite element modeling of stone-based materials with X-ray computed tomography images
TL;DR: In this paper, 2D and 3D micromechanical finite element (FE) models were used to predict the viscoelastic properties including dynamic modulus and phase angle of stone-based materials.
104
Image analysis for detecting aggregate gradation in asphalt mixture from planar images
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Using discrete element models to track movement of coarse aggregates during compaction of asphalt mixture
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Mandfred N Partl,Alexander Flisch,M Jönsson +2 more
TL;DR: This study investigates the effects of gyratory compaction on asphalt concrete homogeneity and isotropy using X-ray Computer Tomography and standard air-void content determination, aiming to optimize compaction procedures and devices for laboratories and producers.
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