Estimation of strength, permeability and hydraulic diffusivity of Pozzolana blended concrete through pore size distribution
The compressive strength, permeability and hydraulic diffusivity of Ordinary Portland Cement (OPC) with or without pozzolana blended concrete have been estimated in this investigation by using Mercury Intrusion Porosimetry (MIP). With this in view, concrete cubical specimens were crushed and the bro...
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sg-ntu-dr.10356-1062192019-12-06T22:06:42Z Estimation of strength, permeability and hydraulic diffusivity of Pozzolana blended concrete through pore size distribution Kondraivendhan, B. Divsholi, Bahador Sabet Teng, Susanto School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Construction technology The compressive strength, permeability and hydraulic diffusivity of Ordinary Portland Cement (OPC) with or without pozzolana blended concrete have been estimated in this investigation by using Mercury Intrusion Porosimetry (MIP). With this in view, concrete cubical specimens were crushed and the broken chunks with aggregates were collected from different mixes such as OPC mix, OPC with silica fume (5%, 10% and 15% of replacements) mix and OPC with slag (10%, 30% and 50% of replacements) mixes. The MIP experimentation was carried out for wide range of curing ages such as 1, 3, 7, 28, 42 and 90 days. The experimental Pore Size Distribution (PSD) parameters such as mean distribution radius (r0.5), dispersion coefficient (d) and permeable porosity (P) for all mixes were calculated by using the Morgan Mercer Flodin (MMF) model. The application of experimental PSD parameters is demonstrated by estimating the com-pressive strength, permeability and hydraulic diffusivity through the readily available corresponding relationships in the literature. It is observed that the lowest r0.5 and high d values are obtained in case of OPC with silica fume mix as com-pared to other mixes owing to its better pore refinement. It is observed that the estimated permeability increases with an increase in w/c ratio and decreases with an increase in curing ages which resembles the trend of Powers’ permeability versus w/c ratio curves. Published version 2014-10-01T03:41:11Z 2019-12-06T22:06:42Z 2014-10-01T03:41:11Z 2019-12-06T22:06:42Z 2013 2013 Journal Article Kondraivendhan, B., Divsholi, B. S., & Teng, S. (2013). Estimation of strength, permeability and hydraulic diffusivity of Pozzolana blended concrete through pore size distribution. Journal of advanced concrete technology, 11(9), 230-237. 1346-8014 https://hdl.handle.net/10356/106219 http://hdl.handle.net/10220/23929 http://dx.doi.org/10.3151/jact.11.230 en Journal of advanced concrete technology © 2013 Japan Concrete Institute. This paper was published in Journal of Advanced Concrete Technology and is made available as an electronic reprint (preprint) with permission of Japan Concrete Institute. The paper can be found at the following official DOI: http://dx.doi.org/10.3151/jact.11.230. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf |
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DRNTU::Engineering::Civil engineering::Construction technology Kondraivendhan, B. Divsholi, Bahador Sabet Teng, Susanto Estimation of strength, permeability and hydraulic diffusivity of Pozzolana blended concrete through pore size distribution |
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The compressive strength, permeability and hydraulic diffusivity of Ordinary Portland Cement (OPC) with or without pozzolana blended concrete have been estimated in this investigation by using Mercury Intrusion Porosimetry (MIP). With this in view, concrete cubical specimens were crushed and the broken chunks with aggregates were collected from different mixes such as OPC mix, OPC with silica fume (5%, 10% and 15% of replacements) mix and OPC with slag (10%, 30% and 50% of replacements) mixes. The MIP experimentation was carried out for wide range of curing ages such as 1, 3, 7, 28, 42 and 90 days. The experimental Pore Size Distribution (PSD) parameters such as mean distribution radius (r0.5), dispersion coefficient (d) and permeable porosity (P) for all mixes were calculated by using the Morgan Mercer Flodin (MMF) model. The application of experimental PSD parameters is demonstrated by estimating the com-pressive strength, permeability and hydraulic diffusivity through the readily available corresponding relationships in the literature. It is observed that the lowest r0.5 and high d values are obtained in case of OPC with silica fume mix as com-pared to other mixes owing to its better pore refinement. It is observed that the estimated permeability increases with an increase in w/c ratio and decreases with an increase in curing ages which resembles the trend of Powers’ permeability versus w/c ratio curves. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Kondraivendhan, B. Divsholi, Bahador Sabet Teng, Susanto |
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Article |
author |
Kondraivendhan, B. Divsholi, Bahador Sabet Teng, Susanto |
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Kondraivendhan, B. |
title |
Estimation of strength, permeability and hydraulic diffusivity of Pozzolana blended concrete through pore size distribution |
title_short |
Estimation of strength, permeability and hydraulic diffusivity of Pozzolana blended concrete through pore size distribution |
title_full |
Estimation of strength, permeability and hydraulic diffusivity of Pozzolana blended concrete through pore size distribution |
title_fullStr |
Estimation of strength, permeability and hydraulic diffusivity of Pozzolana blended concrete through pore size distribution |
title_full_unstemmed |
Estimation of strength, permeability and hydraulic diffusivity of Pozzolana blended concrete through pore size distribution |
title_sort |
estimation of strength, permeability and hydraulic diffusivity of pozzolana blended concrete through pore size distribution |
publishDate |
2014 |
url |
https://hdl.handle.net/10356/106219 http://hdl.handle.net/10220/23929 http://dx.doi.org/10.3151/jact.11.230 |
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1681044399419555840 |