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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Naskar, Susmita
University of Southampton
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (19/19 displayed)
- 2024Nonlinear stability of curved multi-phase composite panels: influence of agglomeration in randomly distributed carbon nanotubes with non-uniform in-plane loadscitations
- 2023Data-driven multiscale modeling and robust optimization of composite structure with uncertainty quantificationcitations
- 2023Development of sustainable high performance geopolymer concrete and mortar using agricultural biomass - A strength performance and sustainability analysiscitations
- 2023Development of sustainable high performance geopolymer concrete and mortar using agricultural biomass - A strength performance and sustainability analysiscitations
- 2023Development of sustainable high performance geopolymer concrete and mortar using agricultural biomass—A strength performance and sustainability analysiscitations
- 2023Multilevel fully integrated electromechanical property modulation of functionally graded graphene‐reinforced piezoelectric actuators: coupled effect of poling orientationcitations
- 2023Sustainable metal-organic framework co-engineered glass fiber separators for safer and longer cycle life of Li-S batteriescitations
- 2023On characterizing the viscoelastic electromechanical responses of functionally graded graphene-reinforced piezoelectric laminated compositescitations
- 2023Viscoelastic free vibration analysis of in-plane functionally graded orthotropic plates integrated with piezoelectric sensors: Time-dependent 3D analytical solutionscitations
- 2023Programmed Out-of-Plane curvature to enhance multimodal stiffness of bending-dominated composite latticescitations
- 2023Effective elastic moduli of space-filled multi-material composite latticescitations
- 2023Micro scratch behavior study of titanium dioxide and graphene nanoplatelets reinforced polymer nanocomposites
- 2022Compound influence of surface and flexoelectric effects on static bending response of hybrid composite nanorodcitations
- 2021Analytical Solution for Static and Dynamic Analysis of Graphene-Based Hybrid Flexoelectric Nanostructurescitations
- 2021Compound influence of topological defects and heteroatomic inclusions on the mechanical properties of SWCNTscitations
- 2020Stochastic Oblique Impact on Composite Laminates: A Concise Review and Characterization of the Essence of Hybrid Machine Learning Algorithmscitations
- 2019Spatially varying fuzzy multi-scale uncertainty propagation in unidirectional fibre reinforced compositescitations
- 2018Effect of delamination on the stochastic natural frequencies of composite laminatescitations
- 2013Investigation into metal wire based variant of EMI technique for structural health monitoring
Places of action
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article
Development of sustainable high performance geopolymer concrete and mortar using agricultural biomass - A strength performance and sustainability analysis
Abstract
Geopolymer concrete is a sustainable substitute for traditional Portland cement concrete. In addition, rising carbon taxes on carbon emissions and energy-intensive materials like cement and lime, impacts the cost of industrial by-products due to their pozzolanic nature. This research evaluates the compressive strength and flexural strength of geopolymer concrete, and the compressive strength of geopolymer mortar. Geopolymer mortar data were used for the strength assessment employing an analytical approach, and geopolymer concrete data were utilized for the strength and sustainability performances. Using artificial neural networks (ANNs), multi-linear regression (MPR) analysis, and swarm-assisted linear regression, compressive strength models were created based on experimental datasets of geopolymer mortar mixes with variable precursors, alkali-activator percentages, Si/Al, and Na/Al ratios. The strength and sustainability performances of geopolymer concrete blends with various precursors were assessed by considering cost-efficiency, energy efficiency, and eco-efficiency. The work’s originality comes from enhancing sustainable high-performance concrete without overestimating or underestimating precursors. Extensive experimental work was done in the current study to determine the best mix of geopolymer concrete by varying silica fume, ground granulated blast furnace slag (GGBS), and rice husk ash (RHA). A scanning electron microscopic study was conducted to understand the geopolymer matrix’s microstructure further. A comprehensive discussion section is presented to explain the potential role of RHA. The replacement of conventional concrete in all its current uses may be made possible by this sustainable high-performance concrete utilizing RHA.