Effect of steel fiber and carbon black on the self-sensing ability of concrete cracks under bending

Ding, Yining; Liu, Genjin; Hussain, Abasal; Pacheco-Torgal, F.; Zhang, Y.

doi:10.1016/j.conbuildmat.2019.02.160

Cited by 83 publications

(31 citation statements)

References 29 publications

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“…Because of its lamellar structure, the graphite facilitated the rupture of the contact planes, reducing the compression strength by half when mixture with 20% of graphite and the reference concrete were compared. The conductive concretes with steel fibers (20, 40, and 60 kg.m -3 ) and carbon black (1 kg.m -3 ) produced by Ding et al [14] presented compressive strength varying from 35.4 to 39.9 MPa, close to the sample with 10% of graphite of this study. In [8], the compressive strength was reduced by 6%, 17%, 22%, and 30% at 28 days of age for 1%, 3%, 5%, and 7% volume replacement levels of graphite powder by volume of fine aggregate, respectively.…”

Section: Resultssupporting

confidence: 67%

Development of electrically conductive concrete

et al. 2020

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The effects of the addition of steel fiber and graphite powder on the electric conductivity of concrete were investigated. The percolation transition zone of the concrete + steel fiber was determined, thus fixing the optimum content of steel fiber at 8.5%. Graphite was added to investigate its influence on the electrical conductivity and mechanical properties of the concrete. The electric current passing through the specimens was measured, setting the electric voltage to 50 V. The surface temperature of the specimens submitted to the electrical current was measured for 20 min. It was observed that the higher the graphite addition, the higher the conductivity was and, therefore, the higher the final temperature, which achieved 58 °C higher than the reference mixture, but the compressive strength decreased from 60 to 30 MPa, although still considered as structural concrete.

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Section: Resultssupporting

confidence: 67%

Development of electrically conductive concrete

et al. 2020

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“…Moreover, inhomogeneity of the concrete materials makes it difficult to physically interpret the measured ultrasonic signals. Alternatively, fiber-reinforced self-sensing concrete techniques have been proposed as a sensor-less technique (Ding, Liu, Hussain, Pacheco-Torgal, & Zhang, 2019;M.-S. Kang, Lee, Yim, An, & Kim, 2018). However, they cannot be used for an existing bridge, and their crack detectability highly depends on the manufacturing process of the fiber-reinforced concrete.…”

confidence: 99%

Automated crack evaluation of a high‐rise bridge pier using a ring‐type climbing robot

Jang

Kim

et al. 2020

Computer aided Civil Eng

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This article proposes a deep learning-based automated crack evaluation technique for a high-rise bridge pier using a ring-type climbing robot. First, a ring-type climbing robot system composed of multiple vision cameras, climbing robot, and control computer is developed. By spatially moving the climbing robot system along a target bridge pier with close-up scanning condition, high-quality raw vision images are continuously obtained. The raw vision images are then processed through feature controlbased image stitching, deep learning-based semantic segmentation, and Euclidean distance transform-based crack quantification algorithms. Finally, a digital crack map on the region of interest (ROI) of the target bridge pier can be automatically established. The proposed technique is experimentally validated using in situ test data obtained from Jang-Duck bridge in South Korea. The test results reveal that the proposed technique successfully evaluates cracks on the entire ROI of the bridge pier with precision of 90.92% and recall of 97.47%.

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“…Steel fibers with diameter in the millimeter range are much less effective than those with diameter in the micrometer range for decreasing the electrical resistivity and for providing strain sensing. However, they can provide damage sensing and the use of carbon black, carbon fiber and/or carbon nanotube together with such steel fibers helps [57][58][59][60].…”

Section: Sensing Characteristicsmentioning

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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Effect of steel fiber and carbon black on the self-sensing ability of concrete cracks under bending

Cited by 83 publications

References 29 publications

Development of electrically conductive concrete

Development of electrically conductive concrete

Automated crack evaluation of a high‐rise bridge pier using a ring‐type climbing robot

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

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