1. Geopolymers vs. alkali-activated materials (AAMs): A comparative study on durability, microstructure, and resistance to elevated temperatures of lightweight mortars
- Author
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Seyed Alireza Zareei, Parham Shoaei, Babak Behforouz, and Farshad Ameri
- Subjects
Cement ,Aggregate (composite) ,Absorption of water ,Materials science ,0211 other engineering and technologies ,020101 civil engineering ,02 engineering and technology ,Building and Construction ,0201 civil engineering ,Compressive strength ,Ground granulated blast-furnace slag ,021105 building & construction ,General Materials Science ,Expanded clay aggregate ,Mortar ,Composite material ,Metakaolin ,Civil and Structural Engineering - Abstract
This paper studied the durability, microstructure, and fire behavior of lightweight mortars based on cement, metakaolin (MK), ultrafine ground granulated blast furnace slag (UGGBFS), ceramic waste powder (CWP), and clay brick waste powder (CBWP). Two sets of mixes were prepared with two types of lightweight aggregate including lightweight expanded clay aggregate (LECA) and pumice aggregate. Regarding the durability assessment, the electrical resistivity and water absorption of the mortars were measured. The UGGBFS-based alkali-activated mortar with pumice aggregate exhibited the highest electrical resistivity and lowest water absorption, while CBWP-based geopolymer mortar with LECA showed the lowest electrical resistivity, and the water absorption of this mortar was 62% higher than that of the equivalent cement mortar. In addition, scanning electron microscopy (SEM) images showed that UGGBFS-based mortar developed a dense matrix with few pores; whereas, incomplete geopolymerization and voids were detected in CWP- and CBWP-based mortars. Furthermore, the effect of elevated temperatures ranging from 23 to 800 °C on the compressive strength of specimens was investigated. According to the results, CWP- and CBWP-based mortars showed the best performance and retained about 54% and 49% of their original strength at 800 °C, respectively. Furthermore, a statistical study was carried out on the fire test results to quantify the contribution of different parameters using analysis of variance (ANOVA) method. It was shown that temperature was the most influential parameter.
- Published
- 2019