Monitoring damage of concrete beams via self-sensing cement mortar coating with carbon nanotube-nano carbon black composite fillers

Qiu, Liangsheng; Li, Linwei; Ashour, Ashraf; Ding, Siqi; Han, Baoguo

doi:10.1177/1045389x231221129

Cited by 8 publications

(4 citation statements)

References 58 publications

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“…Wen and Chung [101] obtained a maximum FCR amplitude of 0.15% on the tension side for a 5 mm thick coating with 0.5 wt% added carbon fibre for a beam deflection of about 0.09 mm. The sensing response also agreed with the values defined by Qiu et al [105] (i.e., 2.5%) for CNT-CB mortar coatings on the tension side of elastic bending. Thus, the FCR values in this study are within a broad range of values found in the literature.…”

Section: Electromechanical Testingsupporting

confidence: 89%

“…Existing studies have focused primarily on compressive strain sensing in which the GF ranged between 123 and 490 [90]. A recent work by Qiu et al [105] described the sensing response in specific areas of mortar beams with mixed inclusions of carbon black and carbon nanotubes. They obtained a maximum FCR within the elastic flexural loading of 1.5% in compression and 2.5% in tension, for a filler addition of 2 vol%.…”

Section: Coating Applicationsmentioning

confidence: 99%

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Strain Monitoring of Concrete Using Carbon Black-Based Smart Coatings

Milone,

Vlachakis,

Tulliani

et al. 2024

Materials

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Given the challenges we face of an ageing infrastructure and insufficient maintenance, there is a critical shift towards preventive and predictive maintenance in construction. Self-sensing cement-based materials have drawn interest in this sector due to their high monitoring performance and durability compared to electronic sensors. While bulk applications have been well-discussed within this field, several challenges exist in their implementation for practical applications, such as poor workability and high manufacturing costs at larger volumes. This paper discusses the development of smart carbon-based cementitious coatings for strain monitoring of concrete substrates under flexural loading. This work presents a physical, electrical, and electromechanical investigation of sensing coatings with varying carbon black (CB) concentrations along with the geometric optimisation of the sensor design. The optimal strain-sensing performance, 55.5 ± 2.7, was obtained for coatings with 2 wt% of conductive filler, 3 mm thickness, and a gauge length of 60 mm. The results demonstrate the potential of applying smart coatings with carbon black addition for concrete strain monitoring.

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Section: Electromechanical Testingsupporting

confidence: 89%

Section: Coating Applicationsmentioning

confidence: 99%

Strain Monitoring of Concrete Using Carbon Black-Based Smart Coatings

Milone,

Vlachakis,

Tulliani

et al. 2024

Materials

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“…By correlating variations in electrical features with changes in strain or stress, it becomes possible to detect load redistributions or excessive loading conditions. Similarly, detecting significant changes in electrical conductivity can allow to directly detect cracks and other types of local damages [42,43]. Various suitable fillers are available in both the literature and in the market for this purpose [44][45][46].…”

Section: Smart Shot-earth Concretementioning

confidence: 99%

Full-scale testing and multiphysics modeling of a reinforced shot-earth concrete vault with self-sensing properties

D’Alessandro,

Meoni,

Romero

et al. 2024

Meas. Sci. Technol.

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Civil constructions significantly contribute to greenhouse gas emissions and entail extensive energy and resource consumption, leading to a substantial ecological footprint. Research into eco-friendly engineering solutions is therefore currently imperative, particularly to mitigate the impact of concrete technology. Among potential alternatives, shot-earth-concrete, which combines cement and earth as a binder matrix and is applied via spraying, emerges as a promising option. Furthermore, this composite material allows for the incorporation of nano and micro-fillers, thereby providing room for enhancing mechanical properties and providing multifunctional capabilities. This paper investigates the damage detection capabilities of a novel smart shot-earth concrete with carbon microfibers, by investigating the strain sensing performance of a full-scale vault with a span of 4 meters, mechanically tested until failure. The material's strain and damage sensing capabilities involve its capacity to produce an electrical response (manifested as a relative change in resistance) corresponding to the applied strain in its uncracked state, as well as to exhibit a significant alteration in electrical resistance upon cracking. A detailed multiphysics numerical (i.e. mechanical and electrical) model is also developed to aid the interpretation of the experimental results. The experimental test was conducted by the application of an increasing vertical load at a quarter of the span, while modelling of the element was carried out by considering a piezoresistive material, with coupled mechanical and electrical constitutive properties, including a new law to reproduce the degradation of the electrical conductivity with tensile cracking. Another notable aspect of the simulation was the consideration of the effects of the electrical conduction through the rebars, which was found critical to accurately reproduce the full-scale electromechanical response of the vault. By correlating the outcomes from external displacement transducers with the self-monitoring features inherent in the proposed material, significant insights were gleaned. The findings indicated that the proposed smart-earth composite, besides being well suited for structural applications, also exhibits a distinctive electromechanical behaviour that enables the early detection of damage initiation. The results of the paper represent an important step toward the real application of smart earth-concrete in the construction field, demonstrating the effectiveness and feasibility of full-scale strain and damage monitoring even in the presence of steel reinforcement.

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“…3,4 Anti-corrosion coatings are coverings applied to metal surfaces to isolate them from the surrounding medium and control metal corrosion. Recently, with the introduction of smart materials, smart anti-corrosion coatings with self-healing, 5,6 selfsensing, 7,8 self-cleaning, 9,10 and other functions have emerged. These coatings have significantly extended the service life of coatings.…”

mentioning

confidence: 99%

Self‐healing anti‐corrosion coatings: A mechanism study using computational materials science

Huang,

Chen,

Hao

et al. 2024

Electrical Materials and Applications

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Self‐healing coatings possess the remarkable ability to autonomously mend damages and restore their corrosion protection capabilities, which are compromised due to environmental influences or external forces. The progression of computational materials science has significantly bolstered theoretical explorations into self‐healing anti‐corrosion coatings. Such inquiries enhance our grasp of self‐healing mechanisms, refine coating efficacy, and curtail the expenditures associated with empirical approaches. The research advancements in computational materials science for self‐healing coatings are reviewed here. It delineates the theoretical elucidation of self‐healing mechanisms through the lens of molecular dynamics, density functional theory, Monte Carlo simulations, and finite element analysis. The computational exploration of intrinsic self‐healing coatings primarily involves dynamic reversible covalent bonds, dynamic reversible non‐covalent bonds, and shape memory effect; whereas, extrinsic self‐healing coatings concentrate on the modalities of film‐forming substances and the adsorption behaviours of corrosion inhibitors. These simulation techniques not only shed light on the self‐healing processes at a microscopic scale but also enable the prediction and enhancement of the macroscopic performance attributes of the coatings in practical applications. The merits and constraints of these computational simulation methodologies when applied to self‐healing coatings are critically assessed. Looking ahead, efforts will be directed towards a more profound amalgamation of computational simulations, empirical investigations, and artificial intelligence. This will pave the way for creating a comprehensive database cataloguing the self‐healing properties of coatings, thereby streamlining material selection and design with greater efficiency.

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Monitoring damage of concrete beams via self-sensing cement mortar coating with carbon nanotube-nano carbon black composite fillers

Cited by 8 publications

References 58 publications

Strain Monitoring of Concrete Using Carbon Black-Based Smart Coatings

Strain Monitoring of Concrete Using Carbon Black-Based Smart Coatings

Full-scale testing and multiphysics modeling of a reinforced shot-earth concrete vault with self-sensing properties

Self‐healing anti‐corrosion coatings: A mechanism study using computational materials science

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