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Dataset . 2023
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Analysis of Effective Stiffness and Anisotropy of AC 16 Asphalt Mixture within NCN project Weave-UNISONO 2021, project No 2021/03/Y/ST8/00079

Authors: Król Jan; Gajewski Marcin;

Analysis of Effective Stiffness and Anisotropy of AC 16 Asphalt Mixture within NCN project Weave-UNISONO 2021, project No 2021/03/Y/ST8/00079

Abstract

Summary: The internal structure of the AC 16 (asphalt concrete mixture) was divided into the mortar phase and the mineral aggregate phase. Static creep tests using the Bending Beam Rheometer were conducted for the mortar phase to fit the rheological model. The aggregate arrangement and orientation were analysed using ImageJ software for the mineral phase. The Finite Element Method (FEM using ABACUS software) meshes were prepared based on images with an assumption of plane strain in 2D formulation. Using the FEM model, the tension/compression tests using selected characteristic directions were conducted, and the effective constrained stiffness moduli were estimated. The dataset includes: TIFF input and output image of AC16 lateral surface, txt output results file xz_AC_16 lateral surface_areas colour.tiff xz_AC_16 lateral surface.tiff xz_AC_16 lateral surface ImageJ - results.txt grey TIFF image for plot profile grey image for plot profile.tif BBR test results, CSV raw data sample 1 mortar.csv sample 2 mortar.csv Input images: scan in xy plane and scan in xz plane xy_AC_16 mel-dol.tif xy_AC_16.tif xy_AC_16 ImageJ - results.txt xz_AC_16 mel_dol.tif xz_AC_16.tif xz_AC_16 ImageJ - results.txt Abaqus Input Files – horizontal and vertical tension xy_AC_16_horizontal_tension.txt xy_AC_16_vertical_tension.txt xz_yz_AC_16_horizontal_tension.txt xz_yz_AC_16_vertical_tension.txt

This research was funded by the National Science Centre, Poland, under the Weave-UNISONO 2021 call in the Weave programme (Project No 2021/03/Y/ST8/00079). The dataset was used for analyses for the journal paper titled "The Influence of Mortar's Poisson Ratio and Viscous Properties on Effective Stiffness and Anisotropy of Asphalt Mixture", which is available on https://doi.org/10.3390/ma15248946

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Keywords

asphalt mixture, image analysis, effective stiffness modulus, fatigue, anisotropy

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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