Samenvatting
Much research in 3D concrete printing focuses on material design and testing new additives to improve performance. However, there are very few examples of studies using carbon nanomaterials to improve mechanical performance and create smart mortars with self-sensing capabilities. 3D concrete printing is a new technology that focuses on optimizing the building industry, a composition able to monitor structural health can provide important insights into stress levels and microcrack concentration in critical structural parts. In this study, multi-walled carbon nanotubes (MWCNTs) were embedded in a printable concrete, and its self-sensing ability was investigated. Four compositions with different concentrations of MWCNTs were prepared to assess the porosity distribution and mechanical properties in the fresh and hardened states. To evaluate the self-sensing ability of the material, the change in conductivity was measured using a resistivity meter with a four-point Wenner probe, while the material was tested under compression and tension. The results showed that porosity, strongly influenced by the distribution of nanomaterials in the matrix, had a significant effect on the fresh and hardened state behavior and self-sensing ability of the compositions, and the composition with better self-sensing capabilities was the one with a MWCNTs content of 0.5% per binder content.
| Originele taal-2 | Engels |
|---|---|
| Artikelnummer | e02913 |
| Aantal pagina's | 26 |
| Tijdschrift | Case Studies in Construction Materials |
| Volume | 20 |
| DOI's | |
| Status | Gepubliceerd - jul. 2024 |
Bibliografische nota
Publisher Copyright:© 2024 The Authors
Financiering
This work was supported by the project "Additive manufacturing of functional construction materials on-demand" (with project number 17895 ) of the research program "Materialen NL: Challenges 2018" which is financed by the Dutch Research Council (NWO).
| Financiers | Financiernummer |
|---|---|
| Nederlandse Organisatie voor Wetenschappelijk Onderzoek | |
| UK Research and Innovation | 104115 |