Long‐Term Monitoring Reliability and Life Prediction of Fiber Bragg Grating‐Based Self‐Sensing Steel Strands

Qin, Heying; Shen, Quanxi; Ou, Jinping; Zhu, Wanxu

doi:10.1155/2020/7687039

Cited by 8 publications

(6 citation statements)

References 42 publications

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“…The durability of sensors is another vital factor for commercialization; however, it has rarely been investigated. To have a preliminary idea of the durability of different sensors, we did a survey [30][31][32] on their applications in other fields, such as construction, see Figure 2. Surprisingly, it was predicted that fiber optical sensors could function for more than 20 years in civil composite applications 32 , while all the other sensor candidates also showed the potential for long-term durability (>10 years) 30,31 .…”

Section: Comparison Of Battery Sensorsmentioning

confidence: 99%

“…To have a preliminary idea of the durability of different sensors, we did a survey [30][31][32] on their applications in other fields, such as construction, see Figure 2. Surprisingly, it was predicted that fiber optical sensors could function for more than 20 years in civil composite applications 32 , while all the other sensor candidates also showed the potential for long-term durability (>10 years) 30,31 . In fact, we have recently shown that the TFBG sensors can function in 18650 cells for more than 1000 cycles 9 .…”

Section: Comparison Of Battery Sensorsmentioning

confidence: 99%

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Perspective on commercializing smart sensing for batteries

Tarascon

Huang

2022

eTransportation

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Section: Comparison Of Battery Sensorsmentioning

confidence: 99%

Section: Comparison Of Battery Sensorsmentioning

confidence: 99%

Perspective on commercializing smart sensing for batteries

Tarascon

Huang

2022

eTransportation

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“…However, traditional point-based strain sensors are too localized and have a small spatial resolution for structural health monitoring, limiting their ability to identify damage away from the point of strain monitoring [4]. In recent years, long-gauge strain sensors have found extensive use in structural health monitoring, attributable to their distinctive advantages of simultaneously monitoring macro and microstructural characteristics, and exhibiting high sensitivity, resolution, real-time capability, and reliability [5][6][7]. Moreover, structural damage identification methods based on long-gauge strain sensing have also become a hot research topic in civil engineering.…”

Section: Introductionmentioning

confidence: 99%

A data fusion-based approach for structural damage detection with distributed long-gauge strain measurements

Zhou,

Ding,

Fang

et al. 2024

Meas. Sci. Technol.

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Distributed long gauge strain sensing technology has solved the problem of difficult identification of local damage in traditional "point" monitoring, and has received extensive attention in the field of structural damage identification. Owing to the inevitable presence of measurement noise and environmental factors in the macro strain response measurement, a single damage index has also underlined some drawbacks generally arising when multiple damages occur, or errors affect the identified dynamic properties of the systems. To address these challenges, this paper proposes a data fusion method based on the Dempster-Shafer evidence theory, relying on distributed strain sensing technology. The identification results of the modal macro strain-based index and quasi-static macro strain energy-based damage index are fused to make a comprehensive decision on structural damage location. Damage identification studies are conducted on different types of structures under impact loads and random wind loads to verify the effectiveness and accuracy of the proposed data fusion method in the case of single and multiple damage conditions. The results show that the proposed data fusion method can accurately identify the damage location and effectively reduce misjudgement on undamaged locations; it has potential application value in practical structural health monitoring.

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“…One of the main goals was to solve the optical fiber connection problem that the steel strand must be cut in the actual engineering of the self-sensing steel strand. Up till now, inclusive studies have been experimentally conducted to reveal various mechanical aspects pertinent to them, including preloading to increase the range [16][17][18][19], the effect of the packaging process on relaxation [20], accelerated corrosion evaluation of its long-term durability [21], monitoring of instantaneous and long-term prestressing losses of test beams [22,23].…”

Section: Introductionmentioning

confidence: 99%

Application research on internal prestress monitoring of box girder based on FBG self-sensing steel strand

Zeng,

Zhu,

Liu

et al. 2024

Preprint

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Internal prestressing is an effective prestressing approach in the concrete box girder that ultimately plays a vital role in their construction. In practical engineering, accurate measurement and long-term monitoring are still challenging. FBG-based self-sensing steel strand (FSS) possesses the advantages of quasi-distributed monitoring of internal cable prestress and long-term stable monitoring. To examine its application in monitoring the internal prestressing of the actual box girder project, as well as to reveal the law of prestressing distribution and prestressing loss in the box girder, the self-sensing steel strand is appropriately experimented by using the cyclic tensile test. Precast and cast-in-place beams are then selected to examine the prestressing process and long-term prestressing monitoring of box girders with single-ended and double-ended tensioning processes. The results reveal that the linearity of FSS is 0.84%, the hysteresis is 0.75%, and the repeatability is 1.87%, which exhibits a good prestress monitoring performance. In the comparative application with the Elasto-Magnetic sensor and the reverse tension method, the instantaneous prestress monitoring results are basically consistent with the Elasto-Magnetic sensor. Due to the influence of the friction resistance of the anchorage, it is slightly lower than the measured value of the reverse tension method. Therefore, the FSS exhibits the accuracy of prestress monitoring and consistency of the actual box girder engineering application. In the monitoring of instantaneous prestress loss, such a loss at the tension end of the box girder mostly caused by the internal shrinkage of prestressed tendon, accounting for 81.3 % on average. The mid-span and the fixed end of the box girder, which experience tension under the single-ended tension conditions, are affected by friction and concrete compression loss. Therefore, reducing the amount of shrinkage of steel strands and adopting the double-ended tension method is still the key to reducing the instantaneous prestress loss. In the long-term prestress loss, the measured value exhibits a certain discontinuity. Compared to the theoretical value, the amount of prestress loss of the box girder tensioned at both ends is linearly positively correlated with the magnitude of applied effective prestress, and the amount of loss is negatively correlated with channel curvature.

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Long‐Term Monitoring Reliability and Life Prediction of Fiber Bragg Grating‐Based Self‐Sensing Steel Strands

Cited by 8 publications

References 42 publications

Perspective on commercializing smart sensing for batteries

Perspective on commercializing smart sensing for batteries

A data fusion-based approach for structural damage detection with distributed long-gauge strain measurements

Application research on internal prestress monitoring of box girder based on FBG self-sensing steel strand

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