Design of smart cementitious composites based on multi-walled carbon nanotubes (MWCNTs) using probe ultrasonicator for dispersion

Shahzad, Shaban; Toumi, Ahmed; Balayssac, Jean-Paul; Turatsinze, Anaclet

doi:10.1051/matecconf/202236405012

Cited by 2 publications

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, conventional concrete, as a structural material, does not have the ability to achieve in-situ monitoring [6]. Strikingly, the advent and fast development of intrinsic self-sensing concrete composed of nonconductive concrete matrix and electrically conductive fillers such as carbon fibers (CFs), carbon nanotubes (CNTs), carbon nanofibers, steel fibers, carbon black (CB) and graphene, with the ability to monitor stress, strain, micro-crack, and damage, opens a vast range of possibilities for structural health monitoring (SHM) of infrastructures [7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Self-sensing GFRP-reinforced concrete beams containing carbon nanotube-nano carbon black composite fillers

Qiu

Ding

Wang³

et al. 2023

Meas. Sci. Technol.

View full text Add to dashboard Cite

This study investigated the self-sensing behavior of nonconductive glass fiber reinforced polymer (GFRP) reinforced concrete beam incorporated with electrostatic self-assembly carbon nanotube-nano carbon black (CNT-NCB) composite fillers (CNCFs) under monotonic and cyclic flexural loadings. The CNCFs feature synergistic effect of long-range conduction for fibrous CNTs and short-range conduction for granular NCBs, as well as their good dispersibility. Self-sensing signals in the compression and tension zones of the concrete beams were synchronously recorded through embedding stainless steel gauze electrodes in these sensing zones. Experimental results showed that incorporating CNCFs can achieve low and stable electrical resistivity (ranging from 33 to 76 Ω•cm) for the concrete beams. Under monotonic flexural loading, the largest resistivity variation was observed in the case of concrete beam with 1.8 vol.% CNCFs, and the magnitude of fractional changes in resistivity (FCR) reached nearly 286%. Moreover, FCR in tension zone was more pronounced than that in compression zone. Under cyclic flexural loading, high self-sensing repeatability and stability of FCR variation with strain were obtained for all the concrete beams, and concrete beam with 2.0 vol.% CNCFs demonstrated the optimum self-sensing capability for its highest strain sensitivity of 322.7. Consequently, by measuring FCR of concrete beams with CNCFs and replacing metallic steel reinforcement with nonconductive GFRP bars which have the benefits of avoiding short circuit or electric field disturbance inside self-sensing concrete, in-situ monitoring the strain and damage accumulation of concrete components can be achieved.

show abstract

Section: Introductionmentioning

confidence: 99%

Self-sensing GFRP-reinforced concrete beams containing carbon nanotube-nano carbon black composite fillers

Qiu

Ding

Wang³

et al. 2023

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

An Experimental Approach to Assess the Sensitivity of a Smart Concrete

et al. 2023

View full text Add to dashboard Cite

Structural health monitoring of concrete infrastructure is a critical concern for timely repair and maintenance. This study provides an innovative approach utilizing smart concrete integrated with multi-walled carbon nanotubes (MWCNTs) to enhance electrical conductivity. The smart concrete’s self-sensing capability is assessed through fractional change in electrical resistance (FCR) measured using a four-probe technique. Four-point bending and compressive tests explore the material’s response to cyclic and monotonic loads. Additionally, the impact of saturation levels on self-sensing sensitivity is investigated through compressive tests on varying saturation degrees. Remarkably, a substantial correlation between crack mouth opening displacement (CMOD) and FCR is observed during cyclic bending tests, where FCR increases significantly (from 0.019% to 154%) as CMOD rises from 0.004 mm to 0.55 mm. Digital image correlation (DIC) further validates CMOD measurements and their correlation with FCR. Moreover, this study reveals that amplitude of loading and degree of saturation have a significant effect on the self-sensing of the smart concrete. In saturated conditions, the self-sensing response of the material is insensitive to the mechanical strain, while with reduction in the saturation degree, a quasi-linear response is observed. To assess the sensitivity of the smart concrete, stress and strain sensitivities were evaluated, revealing a noteworthy enhancement of approximately 33% and 50% in stress and strain sensitivity, respectively, as saturation levels decreased. The self-sensing response of the material is very sensitive to the mechanical strain during monotonic loading and damage. These findings indicate the potential of smart concrete as a promising tool for comprehensive, real-time structural health monitoring for infrastructure during its entire life.

show abstract

Design of smart cementitious composites based on multi-walled carbon nanotubes (MWCNTs) using probe ultrasonicator for dispersion

Cited by 2 publications

References 17 publications

Self-sensing GFRP-reinforced concrete beams containing carbon nanotube-nano carbon black composite fillers

Self-sensing GFRP-reinforced concrete beams containing carbon nanotube-nano carbon black composite fillers

An Experimental Approach to Assess the Sensitivity of a Smart Concrete

Contact Info

Product

Resources

About