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Mechanical Properties of Geopolymer Composites Reinforced with Natural Fibers

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Korniejenko, K., Frączek, E., Pytlak, E., Adamski, M.·2016·Procedia Engineering

Abstract

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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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
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CoChat. (2026). Citation check: Mechanical Properties of Geopolymer Composites Reinforced with Natural Fibers. https://app.cochat.ai/papers/10.1016/j.proeng.2016.07.395
The paper
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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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.