Characteristics of pore structure and permeability prediction in binary blended pervious concrete
ABSTRACT This study primarily focuses on analyzing the pore structure characteristics and predicting permeability in binary blended pervious concretes, both with and without fines. The pervious concretes included fly ash, a class 'C' material, as a partial cement replacement (10% and 20%)....
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Veröffentlicht in: | Matéria 2024, Vol.29 (1) |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | ABSTRACT This study primarily focuses on analyzing the pore structure characteristics and predicting permeability in binary blended pervious concretes, both with and without fines. The pervious concretes included fly ash, a class 'C' material, as a partial cement replacement (10% and 20%). The aggregates consisted of a mix of coarse aggregates, with sizes ranging from 19–9.5 mm and 9.5–4.75 mm, and fine aggregates substituted a portion of the coarse aggregates at specific levels (5–15%). The area fraction (ϕA) and volumetric methodology (ϕV) were used for assessing the porosity of the binary blended pervious concrete mixtures. The properties of the pore size were measured through morphological techniques. The Katz-Thompson (K-T) relationship utilized porosity and pore size data from image analysis to predict permeability in pervious concretes. Comparing the two porosity calculation methods, the porosities obtained through image analysis (area fraction) were slightly higher than those obtained through the volumetric technique. The pore characteristics identified through techniques like Two-Point Correlation and granulometry were found to be quite similar. Results indicated a strong agreement between the experimentally determined and predicted permeability values. |
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ISSN: | 1517-7076 1517-7076 |
DOI: | 10.1590/1517-7076-rmat-2023-0251 |