Self-sensing piezoresistive cement composite loaded with carbon black particles

Monteiro, André Oliveirinha; Cachim, Paulo; Costa, Pedro M. F. J.

doi:10.1016/j.cemconcomp.2017.04.009

Cited by 170 publications

(74 citation statements)

References 42 publications

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“…Moreover, these figures show a reversible trend of FCR, which decreases upon loading and increases upon unloading. This behavior establishes a straightforward correlation between deformation and resistivity [28], as shown in Figure 7b,d. In particular, 0.2VCF shows a very high sensitivity (613.5 MPa −1 and a maximum value of 4.9% for FCR, Table 3), and the change in resistivity is constant and repeatable.…”

Section: Piezoresistivitysupporting

confidence: 70%

“…The electrical conductivity of mortars was investigated through electrical resistivity measurements after 28 days of curing both before and after drying them at 60 • C until a constant mass was reached. This last condition was chosen in order to reduce the effect of moisture on electrical conduction [28]. Specimens used for electrical tests had 40 × 40 × 160 mm dimensions.…”

Section: Electrical Resistivity Measurementsmentioning

confidence: 99%

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Evaluating the Self-Sensing Ability of Cement Mortars Manufactured with Graphene Nanoplatelets, Virgin or Recycled Carbon Fibers through Piezoresistivity Tests

et al. 2018

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This paper presents the resistivity and piezoresistivity behavior of cement-based mortars manufactured with graphene nanoplatelet filler (GNP), virgin carbon fibers (VCF) and recycled carbon fibers (RCF). GNP was added at 4% of the cement weight, whereas two percentages of carbon fibers were chosen, namely 0.05% and 0.2% of the total volume. The combined effect of both filler and fibers was also investigated. Mortars were studied in terms of their mechanical properties (under flexure and compression) and electrical resistivity. Mortars with the lowest electrical resistivity values were also subjected to cyclic uniaxial compression to evaluate the variations in electrical resistivity as a function of strain. The results obtained show that mortars have piezoresistive behavior only if they are subjected to a prior drying process. In addition, dry specimens exhibit a high piezoresistivity only when loaded with 0.2 vol.% of VCF and 0.4 wt.% of GNP plus 0.2 vol.% RCF, with a quite reversible relation between their fractional change in resistivity (FCR) and compressive strain.

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Section: Piezoresistivitysupporting

confidence: 70%

Section: Electrical Resistivity Measurementsmentioning

confidence: 99%

Evaluating the Self-Sensing Ability of Cement Mortars Manufactured with Graphene Nanoplatelets, Virgin or Recycled Carbon Fibers through Piezoresistivity Tests

et al. 2018

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“…It can be identified through experimental [8,9], analytical [10,11], and numerical [12,13] approaches. Some popular conductive fillers used in the fabrication of self-sensing materials are carbon nanotubes [14][15][16][17][18], carbon black [17,[19][20][21][22], graphene nanoplatelets (GNPs) [17,23], and carbon fibers [17,20,24,25]. Other less popular fillers have been researched, including nickel [26,27], aerographite [28], sodium silicate [29], and coal [30].…”

Section: Introductionmentioning

confidence: 99%

Smart Graphite–Cement Composite for Roadway-Integrated Weigh-In-Motion Sensing

Birgin

D’Alessandro

Laflamme

et al. 2020

Sensors

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Smart multifunctional composites exhibit enhanced physical and mechanical properties and can provide structures with new capabilities. The authors have recently initiated a research program aimed at developing new strain-sensing pavement materials enabling roadway-integrated weigh-in motion (WIM) sensing. The goal is to achieve an accurate WIM for infrastructure monitoring at lower costs and with enhanced durability compared to off-the-shelf solutions. Previous work was devoted to formulating a signal processing algorithm for estimating the axle number and weights, along with the vehicle speed based on the outputs of a piezoresistive pavement material deployed within a bridge deck. This work proposes and characterizes a suitable low-cost and highly scalable cement-based composite with strain-sensing capabilities and sufficient sensitivity to meet WIM signal requirements. Graphite cement-based smart composites are presented, and their electromechanical properties are investigated in view of their application to WIM. These composites are engineered for scalability owing to the ease of dispersion of the graphite powder in the cement matrix, and can thus be used to build smart sections of road pavements. The research presented in this paper consists of electromechanical tests performed on samples of different amounts of graphite for the identification of the optimal mix in terms of signal sensitivity. An optimum inclusion level of 20% by weight of cement is obtained and selected for the fabrication of a plate of 30 × 15 × 5 cm3. Results from load identification tests conducted on the plate show that the proposed technology is capable of WIM.

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“…Conductive admixtures can be in the form of short fibers or particles. An example of particles is carbon black, which is more attractive than most other particles due to its low cost [25,26], though it delays the hydration and hardening of the cement [27]. Another example is carbon black rubber-matrix composite particles of size comparable to that of sand [28].…”

Section: Electrically Conductive Admixturesmentioning

confidence: 99%

Self-sensing concrete: from resistance-based sensing to capacitance-based sensing

Chung

2020

International Journal of Smart and Nano Materials

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Self-sensing uses the cement-based material without sensor incorporation to sense itself. This paper reviews self-sensing cementbased materials, with coverage of the well-studied resistance-based sensing as well as the less-studied capacitance-based sensing. This review is the first that covers capacitance-based self-sensing. Capacitance-based sensing is advantageous over resistance-based sensing in that no particular admixture is required, so that it is applicable to both existing and new structures. In contrast, resistance-based sensing that is comparable to capacitance-based sensing in stress/strain sensitivity requires conductive admixtures, such as carbon fiber. Resistance-based strain sensing is based on piezoresistivity, which is associated with the resistance increasing upon tension and decreasing upon compression. Capacitance-based strain sensing is based on piezopermittivity, which is associated with the permittivity decreasing upon tension and increasing upon compression. Damage causes the resistance to increase and causes the permittivity to decrease. Increase in temperature decreases the resistance but increases the permittivity. This review also covers the methodology of the electrical measurements.

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Self-sensing piezoresistive cement composite loaded with carbon black particles

Cited by 170 publications

References 42 publications

Evaluating the Self-Sensing Ability of Cement Mortars Manufactured with Graphene Nanoplatelets, Virgin or Recycled Carbon Fibers through Piezoresistivity Tests

Evaluating the Self-Sensing Ability of Cement Mortars Manufactured with Graphene Nanoplatelets, Virgin or Recycled Carbon Fibers through Piezoresistivity Tests

Smart Graphite–Cement Composite for Roadway-Integrated Weigh-In-Motion Sensing

Self-sensing concrete: from resistance-based sensing to capacitance-based sensing

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