Carbon nanotube cement-based transducers for dynamic sensing of strain

Materazzi, Annibale Luigi; Ubertini, Filippo; D’Alessandro, Antonella

doi:10.1016/j.cemconcomp.2012.12.013

Cited by 222 publications

(116 citation statements)

References 33 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: 77%

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: 77%

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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“…A particularly promising strain sensor based on a multifunctional cement-based composite material, termed Carbon NanoTube Cement-based Sensor (CNTCS), has been recently developed by some of the authors [20][21][22]. The sensor consists of a cement paste doped with Multi Walled Carbon Nanotubes (MWCNTs), which enable the transduction of a mechanical strain into a measurable variation of the electrical resistance.…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have analysed smart sensors consisting of cement-based materials doped with carbon nanoinclusions [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. A particularly promising strain sensor based on a multifunctional cement-based composite material, termed Carbon NanoTube Cement-based Sensor (CNTCS), has been recently developed by some of the authors [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Electromechanical modelling of a new class of nanocomposite cement-based sensors for structural health monitoring

D’Alessandro

Ubertini

Materazzi

et al. 2014

Structural Health Monitoring

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This work focuses on the analysis of a new nanocomposite cement-based sensor (carbon nanotube cementbased sensor), for applications in vibration-based structural health monitoring of civil engineering structures. The sensor is constituted of a cement paste doped with multi-walled carbon nanotubes, so that mechanical deformations produce a measurable change of the electrical resistance. Prior work of some of the authors has addressed the fabrication process, dynamic behaviour and implementation to full-scale structural components. Here, we investigate the effectiveness of a linear lumped-circuit electromechanical model, in which dynamic sensing is associated with a strain-dependent modulation of the internal resistance. Salient circuit parameters are identified from a series of experiments where the distance between the electrodes is parametrically varied. Experimental results indicate that the lumped-circuit model is capable of accurately predicting the step response to a voltage input and its steady-state response to a harmonic uniaxial deformation. Importantly, the model is successful in anticipating the presence of a superharmonic component in sensor's output. KeywordsCarbon nanotubes, electromechanical model, nanotechnology, smart materials, smart sensors, structural health monitoring nanotubes, so that mechanical deformations produce a measurable change of the electrical resistance.Prior work of some of the authors has addressed the fabrication process, dynamic behaviour, and implementation to full-scale structural components. Here, we investigate the effectiveness of a linear lumped-circuit electromechanical model, in which dynamic sensing is associated with a straindependent modulation of the internal resistance. Salient circuit parameters are identified from a series of experiments where the distance between the electrodes is parametrically varied. Experimental results indicate that the lumped-circuit model is capable of accurately predicting the step response to a voltage input and its steady-state response to a harmonic uniaxial deformation. Importantly, the model is successful in anticipating the presence of a superharmonic component in sensor's output.

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“…In addition, different quantities of nanoparticles influence chemical, physical and mechanical properties. The use of self-sensing cementitious materials for vibration-based monitoring was previously investigated by the authors, with particular attention to fabrication processes and electromechanical modelling of dynamic behaviors [65,66]. Research has demonstrated the potential of self-sensing cementitious materials at vibration-based SHM, but concluded that further studies are needed to better investigate signal quality and sensors' response characteristics with varying amount of nanotubes and with or without aggregates.…”

Section: Introductionmentioning

confidence: 99%

“…Their high specific surface and their nanometric size enhance their electrical performance. Literature shows a growing interest in such nanofillers [48][49][50][51][52]. Research has studied dispersion strategies in different types of matrices [53,5454] and fabrication processes [54][55][56], and conducted experimental investigations mainly focused on quasi-static loads [57][58][59][60][61][62].…”

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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Carbon nanotube cement-based transducers for dynamic sensing of strain

Cited by 222 publications

References 33 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

Electromechanical modelling of a new class of nanocomposite cement-based sensors for structural health monitoring

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

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