Quantitative study on surface porosity and roughness parameters of mineral and organic admixtures based on multi-scale characterisation techniques
Studying surface porosity and surface roughness of mineral and organic admixtures is vital in cement-based applications as these characteristics play a significant role in the behaviour of cement-based composites. Aiming to enhance the characteristics of coconut shell ash (CSA), gum Arabic (GA), cas...
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Format: | Article |
Language: | English |
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Elsevier
2023-03-01
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Series: | Cleaner Materials |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2772397622001265 |
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author | David Sinkhonde |
author_facet | David Sinkhonde |
author_sort | David Sinkhonde |
collection | DOAJ |
description | Studying surface porosity and surface roughness of mineral and organic admixtures is vital in cement-based applications as these characteristics play a significant role in the behaviour of cement-based composites. Aiming to enhance the characteristics of coconut shell ash (CSA), gum Arabic (GA), cassava starch (CS), rice husk ash (RHA) and burnt clay powder (BCP) including their influence on cement-based composites, the surface porosity and surface roughness characteristics were comprehensively explored using scanning electron microscopy (SEM) under scale of 100 µm and Gwyddion. The surface morphological measurements, surface porosity and surface roughness of the specimens were respectively assessed using parameters such as skewness (Rsk), Kurtosis coefficient (Rku), roughness average (Ra), root mean square roughness (Rq), waviness average (Wa), root mean square waviness (Wq) and plane porosity. The roughness average values were noticed to range from 19 nm to 77 nm whilst the root mean square roughness values were found to vary from 27 nm to 107 nm. The waviness average and root mean square waviness values of specimens ranged from 26–132 nm and 34–157 nm respectively. The skewness values were observed to range from −0.18–0.72 while Kurtosis coefficient values ranged from 3 to 12. The comparisons in plane porosity quantification findings obtained using the implemented algorithms illustrated that the plane porosity values from threshold method were higher than those from segmentation method. The findings from this study extend characterisation of mineral and organic admixtures and subsequently guide management practices of waste materials through utilisation of mineral and organic admixtures in cement-based composites. |
first_indexed | 2024-04-10T00:15:25Z |
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issn | 2772-3976 |
language | English |
last_indexed | 2024-04-10T00:15:25Z |
publishDate | 2023-03-01 |
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series | Cleaner Materials |
spelling | doaj.art-5b229f5f513b4d3399f3297be4ec05ee2023-03-16T05:07:07ZengElsevierCleaner Materials2772-39762023-03-017100166Quantitative study on surface porosity and roughness parameters of mineral and organic admixtures based on multi-scale characterisation techniquesDavid Sinkhonde0Department of Civil and Construction Engineering, Pan African University Institute for Basic Sciences, Technology and Innovation, Nairobi, KenyaStudying surface porosity and surface roughness of mineral and organic admixtures is vital in cement-based applications as these characteristics play a significant role in the behaviour of cement-based composites. Aiming to enhance the characteristics of coconut shell ash (CSA), gum Arabic (GA), cassava starch (CS), rice husk ash (RHA) and burnt clay powder (BCP) including their influence on cement-based composites, the surface porosity and surface roughness characteristics were comprehensively explored using scanning electron microscopy (SEM) under scale of 100 µm and Gwyddion. The surface morphological measurements, surface porosity and surface roughness of the specimens were respectively assessed using parameters such as skewness (Rsk), Kurtosis coefficient (Rku), roughness average (Ra), root mean square roughness (Rq), waviness average (Wa), root mean square waviness (Wq) and plane porosity. The roughness average values were noticed to range from 19 nm to 77 nm whilst the root mean square roughness values were found to vary from 27 nm to 107 nm. The waviness average and root mean square waviness values of specimens ranged from 26–132 nm and 34–157 nm respectively. The skewness values were observed to range from −0.18–0.72 while Kurtosis coefficient values ranged from 3 to 12. The comparisons in plane porosity quantification findings obtained using the implemented algorithms illustrated that the plane porosity values from threshold method were higher than those from segmentation method. The findings from this study extend characterisation of mineral and organic admixtures and subsequently guide management practices of waste materials through utilisation of mineral and organic admixtures in cement-based composites.http://www.sciencedirect.com/science/article/pii/S2772397622001265Surface roughnessSurface porosityMineral and organic admixturesScanning electron microscopyImage characterisationMorphology |
spellingShingle | David Sinkhonde Quantitative study on surface porosity and roughness parameters of mineral and organic admixtures based on multi-scale characterisation techniques Cleaner Materials Surface roughness Surface porosity Mineral and organic admixtures Scanning electron microscopy Image characterisation Morphology |
title | Quantitative study on surface porosity and roughness parameters of mineral and organic admixtures based on multi-scale characterisation techniques |
title_full | Quantitative study on surface porosity and roughness parameters of mineral and organic admixtures based on multi-scale characterisation techniques |
title_fullStr | Quantitative study on surface porosity and roughness parameters of mineral and organic admixtures based on multi-scale characterisation techniques |
title_full_unstemmed | Quantitative study on surface porosity and roughness parameters of mineral and organic admixtures based on multi-scale characterisation techniques |
title_short | Quantitative study on surface porosity and roughness parameters of mineral and organic admixtures based on multi-scale characterisation techniques |
title_sort | quantitative study on surface porosity and roughness parameters of mineral and organic admixtures based on multi scale characterisation techniques |
topic | Surface roughness Surface porosity Mineral and organic admixtures Scanning electron microscopy Image characterisation Morphology |
url | http://www.sciencedirect.com/science/article/pii/S2772397622001265 |
work_keys_str_mv | AT davidsinkhonde quantitativestudyonsurfaceporosityandroughnessparametersofmineralandorganicadmixturesbasedonmultiscalecharacterisationtechniques |