Topic
Geopolymer
About: Geopolymer is a research topic. Over the lifetime, 6776 publications have been published within this topic receiving 157991 citations. The topic is also known as: geopolymers.
Papers published on a yearly basis
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TL;DR: In this article, a low carbon concept for manufacturing masonry units using RG-FA geopolymers was explored by applying low curing temperature of 50°C and a low curing period of just 3-7 days.
91 citations
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TL;DR: In this article, compressive strength of ash based geopolymers containing 97% rice husk ash and 3% nano alumina+nano silica has been designed by Taguchi method at 2 and 7 days of water curing.
91 citations
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TL;DR: In this article, ordinary circulating fluidized bed combustion fly ashes with different Al2O3 concentrations were used to prepare geopolymer, and the optimal synthesis conditions (curing temperature ǫ = 80°C, Si/Al ratio, the additional water/solid ratio, modulus of alkali activator (molar ratio of SiO2/Na2O) and curing temperature) were obtained.
91 citations
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TL;DR: In this article, the authors developed self-cured technologies for fly ash-based geopolymer curing in ambient conditions without external heat supply. But the results showed that the selfcured GeoPC could be developed with the setting time, early strength and microstructures of GeoPC enhancing when the amount of OPC replacement increased.
91 citations
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TL;DR: In this article, the strength characteristics of geopolymer self-compacting concrete made by addition of mineral admixtures, have been modelled with both genetic programming (GEP) and the artificial neural networks (ANN) techniques.
Abstract: There has been a persistent drive for sustainable development in the concrete industry While there are series of encouraging experimental research outputs, yet the research field requires a standard framework for the material development In this study, the strength characteristics of geopolymer self-compacting concrete made by addition of mineral admixtures, have been modelled with both genetic programming (GEP) and the artificial neural networks (ANN) techniques The study adopts a 12M sodium hydroxide and sodium silicate alkaline solution of ratio to fly ash at 033 for geopolymer reaction In addition to the conventional material (river sand), fly ash was partially replaced with silica fume and granulated blast furnace slag Various properties of the concrete, filler ability and passing ability of fresh mixtures, and compressive, split-tensile and flexural strength of hardened concrete were determined The model development involved using raw materials and fresh mix properties as predictors, and strength properties as response Results shows that the use of the admixtures enhanced both the fresh and hardened properties of the concrete Both GEP and ANN methods exhibited good prediction of the experimental data, with minimal errors However, GEP models can be preferred as simple equations are developed from the process, while ANN is only a predictor
91 citations