Electromagnetic Wave Absorption Properties and Mechanism of Graphene/ Cement Composites
Publication: Journal of Materials in Civil Engineering
Volume 34, Issue 7
Abstract
Electromagnetic waves (EMWs) absorption cement composites were widely demanded in urban construction in the near future with increasingly serious electromagnetic pollution in rapid development and application of electronic communication technology. To fully utilize the influence of graphene nanoplates (GNPs) and on EMWs absorption properties of cement composites, various dosages of dispersed GNPs, , and hybrid mixtures were incorporated in cement, and the electromagnetic reflectivity loss, electromagnetic parameter were tested and discussed in the frequency range of . Also, the effects of GNPs and on complex permittivity, complex permeability of cement composites were analyzed for further mechanism analysis combined with XRD, MIP, and SEM micrographs. The results showed that 1.0% GNPs and 30% were the optimal dosages in cement composites, which could absorb more than 80% incident EMWs energy in 8–18 GHz. Furthermore, the (1%, 30%) cement composites exhibit lower EMWs reflectivity loss compared to GNPs or added individually, and the effective absorption frequency width (lower than ) was 5.4 GHz, of which more than 90% EMWs energy was translated to thermal energy and absorbed by the matrix, reaching similar EMWs absorption effect of absorption coating materials. Essentially, the imaginary part of complex permittivity and the real part and imaginary part of complex permeability of cement composites could be improved conspicuously when was incorporated, indicating higher dielectric loss angle tangent and magnetic loss angle tangent of cement composites achieved. Thus, the impedance matching, dielectric loss, and the magnetic loss of cement composites under incident EMWs increased.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors would like to acknowledge the National Natural Science Foundation of China (51878116), the Key Project Supported by the Joint Funds of National Natural Science Foundation of China (U20A20324), Liaoning Province Key Project of Research and Development Plan (2020JH2/10100016), and Dalian Science and Technology Innovation Fund Project (2020JJ26SN060).
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Received: Jun 29, 2021
Accepted: Oct 29, 2021
Published online: Apr 25, 2022
Published in print: Jul 1, 2022
Discussion open until: Sep 25, 2022
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