Strain transfer mechanism in surface-bonded distributed fiber-optic sensors subjected to linear strain gradients: Theoretical modeling and experimental validation

Xing, Zheng; Shi, Bin; Zhang, Chengcheng; Sun, Yunxiang; Zhang, Lei; Han, Heming

doi:10.1016/j.measurement.2021.109510

Cited by 23 publications

(20 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This indicates that the distance required by the acrylate fiber to develop the strain is greater than 1 cm and less than 4 cm, while for the polyimide fiber it is only a few millimetres. Both results are in agreement with the theoretical strain lag distance calculated using the method proposed by Zheng et al (2021); 1.2 cm for the acrylate-coated and 0.5 cm for the polyimide-coated fiber. In the circumferential direction, the acrylate fiber measurements, on average, have a 3% difference to the strain gauge data.…”

Section: Results Of the Methods Developmentsupporting

confidence: 90%

“…For example, the theoretical strain lag proposed by Zheng et al. (2021) for the polyimide‐coated fiber is 0.5 cm, while for the acrylate‐coated fiber it is 1.1 cm, which is considerably smaller compared to other fibers. The OBR technology is sensitive to confining pressure and temperature changes (Appendix A).…”

Section: Development Of the Distributed Strain Measurement Methodsmentioning

confidence: 84%

“…(c) Most of the models were developed for field applications with fiber/cables, which are considerably thicker than the selected fibers (Figure 2). For example, the theoretical strain lag proposed by Zheng et al (2021) for the polyimide-coated fiber is 0.5 cm, while for the acrylate-coated fiber it is 1.1 cm, which is considerably smaller compared to other fibers. The OBR technology is sensitive to confining pressure and temperature changes (Appendix A).…”

Section: Equipment and Sensorsmentioning

confidence: 82%

See 2 more Smart Citations

Distributed Fiber Optics Measurements of Rock Deformation and Failure in Triaxial Tests

et al. 2022

View full text Add to dashboard Cite

Constitutive models are used to describe the mechanical behavior of materials (Karev et al., 2020;Nadai, 1963;Puzrin, 2012). These consist of mathematical equations that can be used to relate physical quantities and are defined by material-specific constants (Davis & Selvadurai, 2005). The design of civil engineering structures relies on the precise calibration of these constants (Alonso et al., 2010;. Triaxial tests are commonly carried out to obtain the constitutive parameters of geomaterials (Jaeger et al., 2007). It is generally assumed that the triaxial test is a representative volume test, meaning that the developed stresses and strains are uniform in the sample. Accurate detection of a sample's strain is important for the determination of the mechanical properties. Linear variable differential transformers (LVDT) and strain gauges are common technologies to measure the strain response. The drawback is that the measurement is limited to the point or small zone where they are installed, forcing the assumption of a homogeneous sample response in accordance with the representative volume assumption. However, recent numerical and experimental studies have shown strain localization in the samples, even at early test stages (McBeck et al., 2019;Van der Baan & Chorney, 2019). This implies that when point measurement methods are used, the mechanical parameters obtained are dependent on the sensor location.

show abstract

Section: Results Of the Methods Developmentsupporting

confidence: 90%

Section: Development Of the Distributed Strain Measurement Methodsmentioning

confidence: 84%

Section: Equipment and Sensorsmentioning

confidence: 82%

See 1 more Smart Citation

Distributed Fiber Optics Measurements of Rock Deformation and Failure in Triaxial Tests

et al. 2022

View full text Add to dashboard Cite

show abstract

“…In recent years, many researchers have carried out a lot of research works on cable–soil deformation coupling. The results of laboratory experiments have demonstrated that the structures of fiber-optic cables affect the interaction and strain transfer between fiber-optic cables and soil, thereby affecting the quality of the monitoring data [ 40 , 111 ]. Although a lot of valuable works on cable–soil deformation coupling have been carried out, in view of the complex coupling mechanism and the changeable application environments during vibrations, deformation coupling between fiber-optic cables and their surroundings needs to be further explored in the future; Data storage, transmission, and processing.…”

Section: Challenges and Future Trendsmentioning

confidence: 99%

Distributed Acoustic Sensing for Monitoring Linear Infrastructures: Current Status and Trends

Zhu

Liu

Wang

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

Linear infrastructures, such as railways, tunnels, and pipelines, play essential roles in economic and social development worldwide. However, under the influence of geohazards, earthquakes, and human activities, linear infrastructures face the potential risk of damage and may not function properly. Current monitoring systems for linear infrastructures are mainly based on non-contact detection (InSAR, UAV, GNSS, etc.) and geotechnical instrumentation (extensometers, inclinometers, tiltmeters, piezometers, etc.) techniques. Regarding monitoring sensitivity, frequency, and coverage, most of these methods have some shortcomings, which make it difficult to perform the accurate, real-time, and comprehensive monitoring of linear infrastructures. Distributed acoustic sensing (DAS) is an emerging sensing technology that has rapidly developed in recent years. Due to its unique advantages in long-distance, high-density, and real-time monitoring, DAS arrays have shown broad application prospects in many fields, such as oil and gas exploration, seismic observation, and subsurface imaging. In the field of linear infrastructure monitoring, DAS has gradually attracted the attention of researchers and practitioners. In this paper, recent research and the development activities of applying DAS to monitor different types of linear infrastructures are critically reviewed. The sensing principles are briefly introduced, as well as the main features. This is followed by a summary of recent case studies and some critical problems associated with the implementation of DAS monitoring systems in the field. Finally, the challenges and future trends of this research area are presented.

show abstract

“…One of such perspective technologies is fiber optical sensors (FOS). FOS have multiple advantages such as an immunity to corrosion [2][3][4] and electromagnetic interference [3][4][5][6][7], the capability for distributed and long-distance measurements [8,9], harsh environment and high-temperature durability [10], high precision [8,11], easy integration [8,11] and high sensitivity [3,9,12], which can be efficiently utilized for necessary applications.…”

Section: Introductionmentioning

confidence: 99%

Road Pavement Structural Health Monitoring by Embedded Fiber-Bragg-Grating-Based Optical Sensors

Braunfelds

Seņkāns

Šķēls

et al. 2022

Sensors

View full text Add to dashboard Cite

Fiber Bragg grating (FBG) optical sensors are state-of-the-art technology that can be integrated into the road structure, providing real-time traffic-induced strain readings and ensuring the monitoring of the road’s structural health. By implementing specific FBG sensors, it is possible to detect each vehicle’s axle count and the induced strain changes in the road structure. In this study, FBG sensors are embedded at the top of the 240-mm-thick cement-treated reclaimed asphalt pavement mixture layer of the road (specifically, 25 mm deep within the road). Optical sensors’ signal interrogation units are used to measure the strain and temperature and collect data of the road’s passing vehicles, starting from passenger cars that have two axles and up to heavy trucks that have six axles. Passenger cars with 2 axles generate a typical (90% events) strain of 0.8–4.1 μm/m, the 2-axle minibus 5.5–8.5 μm/m, 2–3-axle trucks 11–26 μm/m, but 4–6-axle trucks 14–36 μm/m per each axle. A large number of influencing parameters determine the pavement design leading to the great uncertainty in the prediction of the strain at the boundary between the asphalt surface and cement-treated base layers. Real-time strain and temperature measurements help to understand the actual behavior of the pavement structure under an applied load, thus assisting in validating the proposed pavement design.

show abstract

Strain transfer mechanism in surface-bonded distributed fiber-optic sensors subjected to linear strain gradients: Theoretical modeling and experimental validation

Cited by 23 publications

References 37 publications

Distributed Fiber Optics Measurements of Rock Deformation and Failure in Triaxial Tests

Distributed Fiber Optics Measurements of Rock Deformation and Failure in Triaxial Tests

Distributed Acoustic Sensing for Monitoring Linear Infrastructures: Current Status and Trends

Road Pavement Structural Health Monitoring by Embedded Fiber-Bragg-Grating-Based Optical Sensors

Contact Info

Product

Resources

About