Self-sensing cement-based sensor with carbon nanotube: Fabrication and properties – A review

Dinesh, A.; Sudharsan, S.; Haribala, S.

doi:10.1016/j.matpr.2021.02.722

Cited by 35 publications

(7 citation statements)

References 31 publications

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“…The strain sensing capability of CNT-based composites is considered a key requirement for future SHM techniques and applications. To address these challenges and requirements, several studies have attempted to develop novel self-sensing nanocomposites for such applications [19][20][21][22]. Lu et al [23] manufactured conductive aggregates coated with CNT polymer nanocomposites and evaluated their sensitivity to deformations in concrete structures caused by external factors.…”

Section: Introductionmentioning

confidence: 99%

Crack Detection of Reinforced Concrete Structure Using Smart Skin

Jung,

Jang

2024

Nanomaterials

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The availability of carbon nanotube (CNT)-based polymer composites allows the development of surface-attached self-sensing crack sensors for the structural health monitoring of reinforced concrete (RC) structures. These sensors are fabricated by integrating CNTs as conductive fillers into polymer matrices such as polyurethane (PU) and can be applied by coating on RC structures before the composite hardens. The principle of crack detection is based on the electrical change characteristics of the CNT-based polymer composites when subjected to a tensile load. In this study, the electrical conductivity and electro-mechanical/environmental characterization of smart skin fabricated with various CNT concentrations were investigated. This was performed to derive the tensile strain sensitivity of the smart skin according to different CNT contents and to verify their environmental impact. The optimal CNT concentration for the crack detection sensor was determined to be 5 wt% CNT. The smart skin was applied to an RC structure to validate its effectiveness as a crack detection sensor. It successfully detected and monitored crack formation and growth in the structure. During repeated cycles of crack width variations, the smart skin also demonstrated excellent reproducibility and electrical stability in response to the progressive occurrence of cracks, thereby reinforcing the reliability of the crack detection sensor. Overall, the presented results describe the crack detection characteristics of smart skin and demonstrate its potential as a structural health monitoring (SHM) sensor.

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Section: Introductionmentioning

confidence: 99%

Crack Detection of Reinforced Concrete Structure Using Smart Skin

Jung,

Jang

2024

Nanomaterials

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“…Extensive research endeavors have been directed toward the fabrication, conductive and self-sensing properties, and sensing mechanisms of self-sensing concrete containing the abovementioned conductive fillers, in particular CFs and CNTs [15][16][17][18]. Over the past three decades, with the excavation of the theoretical and experimental research of self-sensing concrete, along with the rapid development of SHM technology, many attempts therefore have been made to investigate the feasibility of applying self-sensing concrete for SHM at component/structure level, especially for concrete beams [7,17].…”

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.

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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.

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“…Among these, self-sensing cementitious composites stand out due to their unique properties and potential applications. Their distinguishing characteristic is their ability to monitor structural states non-intrusively [ 3 , 4 ]. Compared to traditional sensor installation methods, the application of these materials reduces the maintenance costs of monitoring systems, and improves the long-term reliability of the monitoring setup [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Pressure-Sensitive Capability of AgNPs Self-Sensing Cementitious Sensors

Zhu,

Sun

2023

Sensors

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Intelligent monitoring approaches for long-term, real-time digitalization in structural health monitoring (SHM) are currently attracting significant interest. Among these, self-sensing cementitious composites stand out due to their easy preparation, cost-effectiveness, and excellent compatibility with concrete structures. However, the current research faces challenges, such as excessive conductive filler, difficulties in filler dispersion, and insufficient stress sensitivity and instability. This study presents a novel approach to these challenges by fabricating self-sensing cementitious sensors using silver nanoparticles (AgNPs), a new type of conductive filler. The percolation threshold of AgNPs in these materials was determined to be 0.0066 wt%, marking a reduction of approximately 90% compared to traditional conductive fillers. Moreover, the absorbance test with a UV spectrophotometer showed that AgNPs were well dispersed in an aqueous solution, which is beneficial for the construction of conductive pathways. Through various cyclic loading tests, it was observed that the self-sensing cementitious sensors with AgNPs exhibited robust pressure-sensitive stability. Additionally, their stress sensitivity reached 11.736, a value significantly surpassing that of conventional fillers. Regarding the conductive mechanism, when encountering the intricate environment within the cementitious material, AgNPs can establish numerous conductive pathways, ensuring a stable response to stress due to their ample quantity. This study provides a significant contribution to addressing the existing challenges in self-sensing cementitious materials and offers a novel reference for further research in this domain.

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Self-sensing cement-based sensor with carbon nanotube: Fabrication and properties – A review

Cited by 35 publications

References 31 publications

Crack Detection of Reinforced Concrete Structure Using Smart Skin

Crack Detection of Reinforced Concrete Structure Using Smart Skin

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

Pressure-Sensitive Capability of AgNPs Self-Sensing Cementitious Sensors

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