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Mechanical Properties of Geopolymer Composites Reinforced with Natural Fibers
Open accessAbstract
Geopolymer composites have recently become a promising ecological alternative to the traditional cementitious materials. They are cost-effective, environmentally friendly and their production involves relatively small amount of energy. They have also good compressive strength, durability and thermal properties being highly resistant to flame and heat. However, these composites have relatively low tensile and flexural strength, which limits their use in many areas. This paper describes the mechanical properties of the geopolymer based on fly ash and reinforced with short natural fibers such as cotton, sisal, raffia and coconut. The study is intended to analyze the influence of addition of various natural fibers on the mechanical properties of the geopolymer. The empirical part of the research was based on the compressive strength tests, flexural strength tests and detailed microstructure examination. The results show that the appropriate addition of natural fibers can improve the mechanical properties of geopolymer composites.
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Cited by
Chan, W.-Y., Ng, S.-P., Loh, W.-K. A., Chau, C.-P., Wong, C.-H. R., Dong, Y., & Lam, K.-C. (2026) · Journal of Natural Fibers · doi:10.1080/15440478.2026.2731518
Metadata
- Authors
- Korniejenko, K., Frączek, E., Pytlak, E., & Adamski, M.
- Venue
- Procedia Engineering
- Publisher
- Elsevier BV
- Published
- 2016
- Volume
- 151
- Pages
- 388-393
- ISSN
- 1877-7058 (ISSN-L)
- OpenAlex
- W2491716991
- Cited by
- 240
- References
- 0
- FWCI
- 34.05
- Type
- conference paper
- Language
- en
- Open access
- diamond
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- Korniejenko, K., Frączek, E., Pytlak, E., & Adamski, M. (2016). Mechanical Properties of Geopolymer Composites Reinforced with Natural Fibers. Procedia Engineering. https://doi.org/10.1016/j.proeng.2016.07.395
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.