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Self-Sensing Properties of Engineered Geopolymer Composites
The development of geopolymers as sustainable construction materials is of growing interest. However, available literature shows studies addressing the quasi-brittle weakness of geopolymer through development, characterization, and implementation of fiber-reinforced composites but inadequate in number. This study investigates the self-sensing performance of fiber-reinforced Engineered Geopolymer Composites (EGCs), prepared to overcome the quasi-brittle behavior. The EGC mixes were developed using Polyvinyl alcohol (PVA) fiber, powder-based alkali activators, and multi-wall carbon nanotubes (MWCNTs), which were added as a self-sensing agent. The EGC mixes with MWCNTs contained nanotube concentrations of 0.0, 0.3 and 0.6% by mass of binder. These mixes were prepared using three types of source materials: Granulated Blast Furnace Slag (GGBFS), class F Fly Ash (FA-F) and class C Fly Ash (FA-C). The fresh state properties were measured in terms of setting time, slump flow and fresh density. The hardened properties and conductivity of the developed mixes were also being evaluated. The piezoresistive characteristics of the EGC mixes were observed and evaluated through observing the variation of electrical resistivity during compression testing of specimens. The types of alkaline activator, uniform dispersion of MWCNTs, and good interaction between MWCNTs and geopolymer matrix were found to contribute to the improvement of flexural/compressive strength and conductivity of the developed mixes. The outcomes of experimental investigations were found to be quite promising and suggested the importance of conducting further comprehensive studies for developing design guidelines for EGCs with self-sensing capabilities.
Self-Sensing Properties of Engineered Geopolymer Composites
The development of geopolymers as sustainable construction materials is of growing interest. However, available literature shows studies addressing the quasi-brittle weakness of geopolymer through development, characterization, and implementation of fiber-reinforced composites but inadequate in number. This study investigates the self-sensing performance of fiber-reinforced Engineered Geopolymer Composites (EGCs), prepared to overcome the quasi-brittle behavior. The EGC mixes were developed using Polyvinyl alcohol (PVA) fiber, powder-based alkali activators, and multi-wall carbon nanotubes (MWCNTs), which were added as a self-sensing agent. The EGC mixes with MWCNTs contained nanotube concentrations of 0.0, 0.3 and 0.6% by mass of binder. These mixes were prepared using three types of source materials: Granulated Blast Furnace Slag (GGBFS), class F Fly Ash (FA-F) and class C Fly Ash (FA-C). The fresh state properties were measured in terms of setting time, slump flow and fresh density. The hardened properties and conductivity of the developed mixes were also being evaluated. The piezoresistive characteristics of the EGC mixes were observed and evaluated through observing the variation of electrical resistivity during compression testing of specimens. The types of alkaline activator, uniform dispersion of MWCNTs, and good interaction between MWCNTs and geopolymer matrix were found to contribute to the improvement of flexural/compressive strength and conductivity of the developed mixes. The outcomes of experimental investigations were found to be quite promising and suggested the importance of conducting further comprehensive studies for developing design guidelines for EGCs with self-sensing capabilities.
Self-Sensing Properties of Engineered Geopolymer Composites
Lecture Notes in Civil Engineering
Walbridge, Scott (editor) / Nik-Bakht, Mazdak (editor) / Ng, Kelvin Tsun Wai (editor) / Shome, Manas (editor) / Alam, M. Shahria (editor) / el Damatty, Ashraf (editor) / Lovegrove, Gordon (editor) / Hossain, M. A. (author) / Hossain, K. M. A. (author)
Canadian Society of Civil Engineering Annual Conference ; 2021
Proceedings of the Canadian Society of Civil Engineering Annual Conference 2021 ; Chapter: 48 ; 541-551
2022-05-18
11 pages
Article/Chapter (Book)
Electronic Resource
English
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