Particle size distributions and shape identification of pozzolanic materials via various dimensional representations
Although pozzolanic materials exhibit unusual particle properties, their particle size distributions and shape identification remain poorly understood. Approximating these geometrical features using simplified plugins is critical for optimising the use of pozzolans in sustainable construction. In th...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Hybrid Advances |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2773207X25000089 |
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| author | David Sinkhonde Tajebe Bezabih Derrick Mirindi |
| author_facet | David Sinkhonde Tajebe Bezabih Derrick Mirindi |
| author_sort | David Sinkhonde |
| collection | DOAJ |
| description | Although pozzolanic materials exhibit unusual particle properties, their particle size distributions and shape identification remain poorly understood. Approximating these geometrical features using simplified plugins is critical for optimising the use of pozzolans in sustainable construction. In this research, we explore the geometrical features of clay brick powder (CBP), fly ash (FA), and teff straw ash (TSA) and predict how these features can influence ordinary Portland cement (OPC) replacement in cement-based composites. We base our research on the plugins in ImageJ, which combine straightforward computational principles and efficient methodology to determine particle shapes of materials. Through the pozzolanic properties and Feret diameters of less than 35 μm for the specimens, we illustrate the capabilities of CBP, FA, and TSA in replacing OPC in cementitious composites. The coefficients of determination greater than 0.79 for area-perimeter plots reveal strong correlations for all the specimens. However, the particles with large particle areas and perimeters lead to reductions in coefficients of determination. The good approximations of geometrical features support the use of CBP, FA, and TSA in cement-based composites and will support further studies in particle properties of pozzolans and cementitious composites. |
| format | Article |
| id | doaj-art-1eb8daea6be144788e605866114de00c |
| institution | Kabale University |
| issn | 2773-207X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Hybrid Advances |
| spelling | doaj-art-1eb8daea6be144788e605866114de00c2025-01-20T04:18:05ZengElsevierHybrid Advances2773-207X2025-03-018100384Particle size distributions and shape identification of pozzolanic materials via various dimensional representationsDavid Sinkhonde0Tajebe Bezabih1Derrick Mirindi2Corresponding author.; Department of Civil and Construction Engineering, Pan African University Institute for Basic Sciences, Technology and Innovation, Nairobi, KenyaDepartment of Civil and Construction Engineering, Pan African University Institute for Basic Sciences, Technology and Innovation, Nairobi, KenyaDepartment of Civil and Construction Engineering, Pan African University Institute for Basic Sciences, Technology and Innovation, Nairobi, KenyaAlthough pozzolanic materials exhibit unusual particle properties, their particle size distributions and shape identification remain poorly understood. Approximating these geometrical features using simplified plugins is critical for optimising the use of pozzolans in sustainable construction. In this research, we explore the geometrical features of clay brick powder (CBP), fly ash (FA), and teff straw ash (TSA) and predict how these features can influence ordinary Portland cement (OPC) replacement in cement-based composites. We base our research on the plugins in ImageJ, which combine straightforward computational principles and efficient methodology to determine particle shapes of materials. Through the pozzolanic properties and Feret diameters of less than 35 μm for the specimens, we illustrate the capabilities of CBP, FA, and TSA in replacing OPC in cementitious composites. The coefficients of determination greater than 0.79 for area-perimeter plots reveal strong correlations for all the specimens. However, the particles with large particle areas and perimeters lead to reductions in coefficients of determination. The good approximations of geometrical features support the use of CBP, FA, and TSA in cement-based composites and will support further studies in particle properties of pozzolans and cementitious composites.http://www.sciencedirect.com/science/article/pii/S2773207X25000089Minimum feret diameterIntegrated densityParticle perimeter and areaFeret diameterPozzolanic materials |
| spellingShingle | David Sinkhonde Tajebe Bezabih Derrick Mirindi Particle size distributions and shape identification of pozzolanic materials via various dimensional representations Hybrid Advances Minimum feret diameter Integrated density Particle perimeter and area Feret diameter Pozzolanic materials |
| title | Particle size distributions and shape identification of pozzolanic materials via various dimensional representations |
| title_full | Particle size distributions and shape identification of pozzolanic materials via various dimensional representations |
| title_fullStr | Particle size distributions and shape identification of pozzolanic materials via various dimensional representations |
| title_full_unstemmed | Particle size distributions and shape identification of pozzolanic materials via various dimensional representations |
| title_short | Particle size distributions and shape identification of pozzolanic materials via various dimensional representations |
| title_sort | particle size distributions and shape identification of pozzolanic materials via various dimensional representations |
| topic | Minimum feret diameter Integrated density Particle perimeter and area Feret diameter Pozzolanic materials |
| url | http://www.sciencedirect.com/science/article/pii/S2773207X25000089 |
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