4.7 Article

3D printed mesh reinforced geopolymer: Notched prism bending

期刊

CEMENT & CONCRETE COMPOSITES
卷 116, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.cemconcomp.2020.103892

关键词

3-Dimensional reinforcement; Fracture toughness; Composites; Meshes; PETG

资金

  1. CNPq -National Council of Technological and Scientific Development [168281/2018-0]
  2. CAPES -Coordination of Improvement of Higher-Level Personnel [88882.453959/2019-01]

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This study successfully enhanced the toughness of geopolymer matrix composites by using printed PETG meshes, maintaining the maximum load supported and critical tension factor of the composites. The gradation of the meshes allowed for a reduction in reinforcement material content without compromising the mechanical performance of the composites, demonstrating the applicability of 3D printing concepts in producing printed reinforcements for cementitious matrices.
Geopolymer binders, having high mechanical performance and associated low carbon dioxide (CO2) emission, are a promising alternative to Portland cement. However, the brittle fracture of geopolymer matrices may cause catastrophic failure. In this context, seeking to unite the concepts of textile concrete technology and additive manufacturing, this work proposes the development of composites of geopolymer matrices (casted) reinforced with homogeneous or graded PETG meshes (printed). Composites were submitted to the notched prism bending test. The homogeneous reinforcement (volumetric polymer content of 4.75%) and the graded (volumetric polymer content of 3.34%) produced an increase in toughness of 47- and 52-fold, respectively, in addition to conserving the maximum load supported and the critical tension factor of the composites. The gradation of the meshes made it possible to reduce the volumetric content of the reinforcement material without compromising the mechanical performance of the composites. The results show the applicability of 3D printing concepts in the production of printed reinforcements for cementitious matrices.

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