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Quantitative analysis on porosity of reactive powder concrete based on automated analysis of back-scattered-electron images

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Abstract
In this study an automated analysis of back-scattered-electron images (SEM-BSE) for segmentation of the porosity of reactive powder concrete is presented, making use of Matlab. The development of the proposed threshold method is based on a classification of the images according to two different brightness levels, which correspond to low and high grey value thresholds. The intersection point of the tangent lines in the area segmented versus grey value curve is used as the upper threshold to determine threshold 1 and threshold 2 and the resulting pore volume is validated with mercury intrusion porosimetry. Nevertheless, a difference between porosities obtained by SEM-BSE and MIP can be expected, because the first method can measure all pore types, while the second will only measure open pores. The result shows that the use of the proposed threshold method achieves a good correlation with MIP for pore segmentation in the RPC microstructure.
Keywords
CEMENT-BASED MATERIALS, PORE STRUCTURE, COMPRESSIVE STRENGTH, MICROSTRUCTURE, POROSIMETRY, Backscattered electron imaging, Porosity, Image analysis, Threshold, method, SEM, MIP

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Chicago
Edwin, Romy Suryaningrat, Mushthofa Mushthofa, Elke Gruyaert, and Nele De Belie. 2019. “Quantitative Analysis on Porosity of Reactive Powder Concrete Based on Automated Analysis of Back-scattered-electron Images.” Cement & Concrete Composites 96: 1–10.
APA
Edwin, R. S., Mushthofa, M., Gruyaert, E., & De Belie, N. (2019). Quantitative analysis on porosity of reactive powder concrete based on automated analysis of back-scattered-electron images. CEMENT & CONCRETE COMPOSITES, 96, 1–10.
Vancouver
1.
Edwin RS, Mushthofa M, Gruyaert E, De Belie N. Quantitative analysis on porosity of reactive powder concrete based on automated analysis of back-scattered-electron images. CEMENT & CONCRETE COMPOSITES. Oxford: Elsevier Sci Ltd; 2019;96:1–10.
MLA
Edwin, Romy Suryaningrat et al. “Quantitative Analysis on Porosity of Reactive Powder Concrete Based on Automated Analysis of Back-scattered-electron Images.” CEMENT & CONCRETE COMPOSITES 96 (2019): 1–10. Print.
@article{8601736,
  abstract     = {In this study an automated analysis of back-scattered-electron images (SEM-BSE) for segmentation of the porosity of reactive powder concrete is presented, making use of Matlab. The development of the proposed threshold method is based on a classification of the images according to two different brightness levels, which correspond to low and high grey value thresholds. The intersection point of the tangent lines in the area segmented versus grey value curve is used as the upper threshold to determine threshold 1 and threshold 2 and the resulting pore volume is validated with mercury intrusion porosimetry. Nevertheless, a difference between porosities obtained by SEM-BSE and MIP can be expected, because the first method can measure all pore types, while the second will only measure open pores. The result shows that the use of the proposed threshold method achieves a good correlation with MIP for pore segmentation in the RPC microstructure.},
  author       = {Edwin, Romy Suryaningrat and Mushthofa, Mushthofa and Gruyaert, Elke and De Belie, Nele},
  issn         = {0958-9465},
  journal      = {CEMENT \& CONCRETE COMPOSITES},
  language     = {eng},
  pages        = {1--10},
  publisher    = {Elsevier Sci Ltd},
  title        = {Quantitative analysis on porosity of reactive powder concrete based on automated analysis of back-scattered-electron images},
  url          = {http://dx.doi.org/10.1016/j.cemconcomp.2018.10.019},
  volume       = {96},
  year         = {2019},
}

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