Micro and macro crack sensing in TRC beam under cyclic loading

Goldfeld, Yiska; Quadflieg, Till; Ben-Aarosh, S.; Gries, Thomas

doi:10.2140/jomms.2017.12.579

Cited by 23 publications

(28 citation statements)

References 41 publications

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“…There is a variety of visual, mechanical, electrical, acoustical, computer vision, global dynamic behavior, and other methods that are used for damage detection in civil engineering structures [12][13][14][15][16][17][18][19][20][21]. Nevertheless, many are susceptible to the adverse effects of moisture, chemical corrosion, electromagnetic interference, and lightning discharges.…”

Section: Methods For Detecting Damage To Civil Engineering Structuresmentioning

confidence: 99%

Assessment of Cracking in Masonry Structures Based on the Breakage of Ordinary Silica-Core Silica-Clad Optical Fibers

Khotiaintsev

Timofeyev

2022

Applied Sciences

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This paper presents a study on the suitability and accuracy of detecting structural cracks in brick masonry by exploiting the breakage of ordinary silica optical fibers bonded to its surface with an epoxy adhesive. The deformations and cracking of the masonry specimen, and the behavior of pilot optical signals transmitted through the fibers upon loading of the test specimen were observed. For the first time, reliable detection of structural cracks with a given minimum value was achieved, despite the random nature of the ultimate strength of the optical fibers. This was achieved using arrays of several optical fibers placed on the structural element. The detection of such cracks allows the degree of structural danger of buildings affected by earthquake or other destructive phenomena to be determined. The implementation of this technique is simple and cost effective. For this reason, it may have a broad application in permanent damage-detection systems in buildings in seismic zones. It may also find application in automatic systems for the detection of structural damage to the load-bearing elements of land vehicles, aircraft, and ships.

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Section: Methods For Detecting Damage To Civil Engineering Structuresmentioning

confidence: 99%

Assessment of Cracking in Masonry Structures Based on the Breakage of Ordinary Silica-Core Silica-Clad Optical Fibers

Khotiaintsev

Timofeyev

2022

Applied Sciences

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“…The opposite out-of-phase connection of the rovings provides the system with a stable sensing signal. This configuration utilizes the electrical scheme proposed by Goldfeld et al 7,9,12 for monitoring the structural state through strain measurements, providing the TRC element with a multi-functional sensory capacity, both in terms of structural strain and in terms of exposure to water.…”

Section: Electrical Short-circuiting Two Adjacent Carbon Rovings Using Two Opposite Out-of-phase Wheatstone Bridgesmentioning

confidence: 99%

“…The concept of the smart textile reinforcement has been mainly implemented for structural health monitoring of strain and damage sensing of carbon-based TRC beams under mechanical loading. [6][7][8][9] Goldfeld et al 10,11 presented the feasibility of the concept on structural TRC beam level and showed that electrical resistance measured from conductive rovings, made of carbon or stainless steel fibers, can follow the structural response. It was also presented by Goldfeld et al 12 that the smart carbon rovings-based reinforcement can sense the structural response of TRC structures along the entire range of loading process, from very early stages of loading and up to progressive failure mechanism, where traditional sensing devices usually failed to produce meaningful information.…”

Section: Introductionmentioning

confidence: 99%

“…The first electrical setup is by connecting rovings to two Wheatstone bridge configurations. Wheatstone bridge configuration has been implemented successfully by Goldfeld et al 7,9,11,12 for strain and structural damage sensing of carbon-based TRC elements; therefore, it is advantageous to use the same electrical setup to sense both straining and wetting events. The second electrical setup is based on an AC circuit that, compared to the first electrical setup (based on a DC circuit), has the ability to measure the impedance and its phase.…”

Section: Introductionmentioning

confidence: 99%

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AR-glass/carbon-based textile-reinforced concrete elements for detecting water infiltration within cracked zones

Goldfeld

Perry

2018

Structural Health Monitoring

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The study examines the use of hybrid carbon-based textile-reinforced concrete elements with self-sensing capabilities to quantitatively detect wetting events within cracked zones. The self-sensory structural element combines the advantages of AR-glass and carbon-based textile-reinforced concrete for thin-walled structural elements with those stemming from the electrical properties of reinforced carbon rovings. The article investigates the sensitivity of sensory carbon rovings to distinguish between the magnitudes of various wetting events, which is associated with the severity of the cracking, according to two electrical setups (DC and AC circuits). The sensing concept takes advantage of the continuous configuration of the carbon rovings, which enables direct connection of the roving ends to the data acquisition system, and of the manufacturing process that two carbon rovings are placed adjacent to one another. Therefore, it is assumed that wetting events electrically short-circuit the two adjacent rovings. The sensitivity of the two electrical setups is experimentally investigated and performed on a couple of bared carbon rovings and on a cracked textile-reinforced concrete beam. Test results demonstrate the sensitivity of the sensing capabilities of the carbon rovings to detect and distinguish between the magnitudes of the wetting events and consequently the severity of the cracking.

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“…The high tensile strength of the rovings and their high resistance against corrosion enable the production of thin-walled and structurally strong TRC elements. The use of electrically conductive rovings, such as carbon rovings, that are characterized by high mechanical performance enables the rovings to serve both as the main reinforcement system as well as the sensory agent for detecting mechanical loading (Christner et al, 2012; Goldfeld et al, 2016a, 2017b; Wen and Chung, 1999; Wen et al, 2000), strain (Horoschenkoff and Christner, 2012; Quadflieg et al, 2016; Teomete, 2015), cracking (Goldfeld et al, 2017a; Goldfeld and Yosef, 2019); or water infiltration (Goldfeld and Perry, 2018, 2019; Goldfeld et al, 2016b, 2016c).…”

Section: Introductionmentioning

confidence: 99%

Monitoring capabilities of various smart self sensory carbon-based textiles to detect water infiltration

Perry

Dittel

Gries

et al. 2021

Journal of Intelligent Material Systems and Structures

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The study investigates the capabilities of various configurations of self-sensory carbon-based textiles to detect and distinguish between the severity of water infiltration through cracked zones along textile reinforced concrete (TRC) elements. The investigation aims to explore whether an optimal smart textile configuration can improve the structural performance while providing sensitive sensory capabilities. Such an investigation is needed for the development of intelligent TRC structures. Specifically, the study experimentally investigates the effect of two types of bindings and the effect of coating on the mutual structural-sensory performances. The sensory concept is based on changes of the electrical mechanism of two adjacent carbon rovings due to infiltration of water through cracked zones. Eight TRC beam samples were cast and mechanically loaded up to cracking. The cracked zones were monitored, and each zone was separately examined by performing a wetting event. It is demonstrated that the type of binding and coating, which significantly affect the structural response, reflect and affect the measured electrical signal. It is found that there is a tradeoff mechanism between the structural response and the sensory capabilities. While specific textile configuration improves the structural performance, it may reduce its sensory capability to distinguish between the magnitude of water infiltration.

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Micro and macro crack sensing in TRC beam under cyclic loading

Cited by 23 publications

References 41 publications

Assessment of Cracking in Masonry Structures Based on the Breakage of Ordinary Silica-Core Silica-Clad Optical Fibers

Assessment of Cracking in Masonry Structures Based on the Breakage of Ordinary Silica-Core Silica-Clad Optical Fibers

AR-glass/carbon-based textile-reinforced concrete elements for detecting water infiltration within cracked zones

Monitoring capabilities of various smart self sensory carbon-based textiles to detect water infiltration

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