Cement-based sensors with carbon fibers and carbon nanotubes for piezoresistive sensing

Azhari, Faezeh; Banthia, Nemkumar

doi:10.1016/j.cemconcomp.2012.04.007

Cited by 500 publications

(243 citation statements)

References 19 publications

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“…During testing of specimen III a maximum compression of 65 µε was recorded with an externally mounted strain gauge. The linearity of strain sensitivity for compressive loading has been documented well passed 330 this loading level and is assumed to remain linear for the purpose of this study [17,19,37,38]. As expected, the specimen resistance decreases with the increasing compressive force.…”

Section: Strain Sensing Characterizationmentioning

confidence: 76%

“…Constant and steady change in a section's electrical resistance and, therefore, in its voltage drop, is caused by the material's strain-sensing capabil-715 ity [22]. In comparison, an abrupt increase in resistance can be easily correlated to a damage case caused by material failure [19]. Such an abrupt increase in resistance can be recognized as a sudden increase in voltage drop (corresponding to an in- of the resistor mesh model, it was concluded that the damage occurred on the outside of the left-most contact, most likely due to a shear failure through the surface crack presented in figure 12(b and d).…”

mentioning

confidence: 99%

“…Multiple examples of datadriven damage detection, where damage is inferred from a change in electrical signal [19,22,23], can 90 be found in the literature. Chen et al [15] demonstrated a data-driven damage detection approach in a carbon fiber-reinforced concrete beam under a three-point-bending test.…”

mentioning

confidence: 99%

“…Fabrication of self-sensing ce-70 mentitious materials through the doping of carbonbased particles into traditional admixtures of cement has been achieved [14]. Various carbon-based materials have been mixed with cementitious materials, including carbon fibers [15,16], nano-carbon 75 black [17] and, more recently, multi-walled carbon nanotubes (MWCNT) [4,18,19]. MWCNTs offer great potential due to their excellent electrical and mechanical properties [20,21].…”

mentioning

confidence: 99%

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Damage detection, localization and quantification in conductive smart concrete structures using a resistor mesh model

Downey

D’Alessandro

Baquera

et al. 2017

Engineering Structures

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Interest in self-sensing structural materials has grown in recent years due to their potential to enable continuous low-cost monitoring of next-generation smart-structures. The development of cement-based smart sensors appears particularly well suited for structural health monitoring due to their numerous possible field applications, ease of use, and long-term stability. Additionally, cement-based sensors offer a unique opportunity for monitoring of civil concrete structures because of their compatibility with new and existing infrastructure. In this paper, we propose the use of a computationally efficient resistor mesh model to detect, localize and quantify damage in structures constructed from conductive cement composites. The proposed approach is experimentally validated on non-reinforced and reinforced specimens made of nanocomposite cement paste doped with multi-walled carbon nanotubes under a variety of static loads and damage conditions. Results show that the proposed approach is capable of leveraging the strain-sensing and damagesensitive properties of conductive cement composites for real-time distributed structural health monitoring of smart concrete structures, using simple and inexpensive electrical hardware and with very limited computational effort. AbstractInterest in self-sensing structural materials has grown in recent years due to their potential to enable continuous low-cost monitoring of next-generation smart-structures. The development of cement-based smart sensors appears particularly well suited for structural health monitoring due to their numerous possible field applications, ease of use, and long-term stability. Additionally, cement-based sensors offer a unique opportunity for monitoring of civil concrete structures because of their compatibility with new and existing infrastructure. In this paper, we propose the use of a computationally efficient resistor mesh model to detect, localize and quantify damage in structures constructed from conductive cement composites. The proposed approach is experimentally validated on non-reinforced and reinforced specimens made of nanocomposite cement paste doped with multi-walled carbon nanotubes under a variety of static loads and damage conditions. Results show that the proposed approach is capable of leveraging the strain-sensing and damage-sensitive properties of conductive cement composites for real-time distributed structural health monitoring of smart concrete structures, using simple and inexpensive electrical hardware and with very limited computational effort.

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Section: Strain Sensing Characterizationmentioning

confidence: 76%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Damage detection, localization and quantification in conductive smart concrete structures using a resistor mesh model

Downey

D’Alessandro

Baquera

et al. 2017

Engineering Structures

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show abstract

“…The self-sensing ability of cement-based materials or sensors is obtained through mapping variations in strain to variations in electrical characteristics of the material such as electrical resistivity or conductivity [31][32][33][34][35][36][37][38][39]. Literature demonstrates that suitable fillers for cementitious matrices yielding self-sensing materials are carbon-based particles of short, micro or nano sizes [40][41][42][43]. Among available powders, carbon nanotubes have excellent electrical properties and have morphological characteristics suitable to produce conductive network in composite materials such as concrete [44][45][46][47].…”

Section: Introductionmentioning

confidence: 99%

An Experimental Study on Static and Dynamic Strain Sensitivity of Smart Concrete Sensors Doped with Carbon Nanotubes for SHM of Large Structures

Meoni¹,

D’Alessandro²,

Downey³

et al. 2018

Preprint

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Abstract:The availability of new self-sensing cement-based strain sensors allows the development of dense sensor networks for Structural Health Monitoring (SHM) of reinforced concrete structures. These sensors are fabricated by doping cement-matrix materials with conductive fillers, such as Multi Walled Carbon Nanotubes (MWCNTs), and can be embedded into structural elements made of reinforced concrete prior to casting. The strain sensing principle is based on the multifunctional composites outputting a measurable change in their electrical properties when subjected to a deformation. Previous work by the authors was devoted to material fabrication, modeling and applications in SHM. In this paper, we investigate the behavior of several sensors fabricated with and without aggregates and with different MWCNTs content. The strain sensitivity of the sensors, in terms of fractional change in electrical resistivity for unit strain, as well as their linearity are investigated through experimental testing under both static and dynamically varying compressive loadings. Moreover, the responses of the sensors when subjected to destructive compressive tests are evaluated. Overall, the presented results contribute to improving the scientific knowledge on the behavior of smart concrete sensors and to furthering their understanding for SHM applications.

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Ultraductile Cementitious Structural Health Monitoring Coating: Waterborne Polymer Biomimetic Muscle and Polyhedral Oligomeric Silsesquioxane‐Assisted C‐S‐H Dispersion

Pang

Jin

Zhang

et al. 2022

Adv Funct Materials

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Cement‐based sensors (CBSs) have demonstrated potential in structural health monitoring (SHM) despite rare applications due to their poor flexibility and sensing accuracy/protection with robustness. Herein, a promising strategy is reported to design a waterborne epoxy resin (WEP)‐modified cement‐based composite coating sensorcapable of simultaneous stable SHM and durable protection. The interpenetrating network (IPN) formed by WEP within cement paste is bionic to the toughness and crack resistance of biological muscle tissue and balances the ion permeation performance and polarization of hydration products. The polymerization‐redispersion progress and mechanism of calcium silicate hydrate (C‐S‐H) gel modified with [3‐(2‐aminoethylamino)‐propyl]trimethoxysilane silsesquioxane (C‐POSS) are characterized and revealed. The results show that the muscle‐like IPN increases the cement‐based coatings’ maximum deflection angle to 30° and improves the monitoring accuracy of compressive, tensile, and fatigue microchanges of concrete structures to more than 95%. The POSS···Ca2+···C‐S‐H interaction in C‐POSS partially transferred the intra‐adhesive hydrogen bonds surrounding the nanoconducer into electrostatic bridging ones to maintain an excellent electromechanical conductive dispersion.

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Cement-based sensors with carbon fibers and carbon nanotubes for piezoresistive sensing

Cited by 500 publications

References 19 publications

Damage detection, localization and quantification in conductive smart concrete structures using a resistor mesh model

Damage detection, localization and quantification in conductive smart concrete structures using a resistor mesh model

An Experimental Study on Static and Dynamic Strain Sensitivity of Smart Concrete Sensors Doped with Carbon Nanotubes for SHM of Large Structures

Ultraductile Cementitious Structural Health Monitoring Coating: Waterborne Polymer Biomimetic Muscle and Polyhedral Oligomeric Silsesquioxane‐Assisted C‐S‐H Dispersion

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