An Fiber Bragg Grating-Based Monitoring System for Slope Deformation Studies in Geotechnical Centrifuges

Zhang, Lei; Shi, Bin; Zeni, Luigi; Minardo, Aldo; Zhu, Hong‐Hu; Jia, Lixiang

doi:10.3390/s19071591

Cited by 13 publications

(4 citation statements)

References 30 publications

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“…By using the change in the scattered light characteristic quantity in the optical fiber caused by external factors, the related physical amount of the measured object along the optical fiber can be continuously monitored for a long distance [25] (Figure 5). In the latest twenty years, the application field of fiber optic sensing technology has constantly expanded, and the types of sensing cables are also increasing [26][27][28]. However, rocksoil mass will undergo multi-scale deformation in applications.…”

Section: Typical Modes Of Overburden Deformation and Failurementioning

confidence: 99%

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Research on a Space–Time Continuous Sensing System for Overburden Deformation and Failure during Coal Mining

Cheng

Zhen-xue

Shi

et al. 2023

Sensors

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Underground coal mining can cause the deformation, failure, and collapse of the overlying rock mass of a coal seam. If the mining design, monitoring, early warning, or emergency disposal are improper, in that case, it can often lead to mining disasters such as roof falls, water inrush, surface collapse, and ground fissures, seriously threatening the safety of mine engineering and the geological environment protection in mining areas. To ensure the intrinsic security of the entire coal mining process, aspace–time continuous sensing system of overburden deformation and failure was developed, which breaks through the limitations of traditional monitoring methods that characterize the evolution process of overlying rock deformation and ground subsidence. This paper summarizes the classification of typical overburden deformation and failure modes. It researches the space–time continuous sensing of rock–soil mass above the coal seam based on Distributed Fiber Optic Sensing (DFOS). A multi-range strain optical fiber sensing neural series from micron to meter was developed to achieve synchronous sensing of overburden separation, internal micro–cracks, and large rock mass deformation. The sensing cable–rock mass coupling test verified the reliability of the optical fiber monitoring data. The sensing neural network of overburden deformation was constructed using integrated optical fiber layout technology on the ground and underground. Different sensing nerves’ performance and application effects in overburden deformation and failure monitoring were compared and analyzed with field monitoring examples. A physical model was used to carry out the experimental study on the overburden subsidence prediction during coal mining. The results showed that the optical fiber monitoring data were reliable and could be used to predict overburden subsidence. The reliability of the calculation model for overlying rock subsidence based on space–time continuous optical fiber sensing data was verified in the application of mining subsidence evaluation. A systematic review of the shortcomings of current overburden deformation observation technology during coal mining was conducted, and a space–time continuous sensing system for overburden deformation and failure was proposed. This system integrated sensing, transmission, processing, early warning, decision-making, and emergency response. Based on the fusion of multi-parameter sensing, multi-method transmission, multi-algorithm processing, and multi-threshold early warning, the system realized the real-time acquisition of space–time continuous information for the overburden above coal seams. This system utilizes long-term historical monitoring data from the research area for data mining and modeling, realizing the prediction and evaluation of the evolution process of overburden deformation as well as the potential for mining subsidence. This work provides a theoretical reference for the prevention and control of mining disasters and the environmental carrying capacity evaluation of coal development.

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Section: Typical Modes Of Overburden Deformation and Failurementioning

confidence: 99%

“…stantly expanded, and the types of sensing cables are also increasing [26][27][28]. H rock-soil mass will undergo multi-scale deformation in applications.…”

Section: Typical Modes Of Overburden Deformation and Failurementioning

confidence: 99%

Research on a Space–Time Continuous Sensing System for Overburden Deformation and Failure during Coal Mining

Cheng

Zhen-xue

Shi

et al. 2023

Sensors

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“…Hu et al [25] proposed a fiber Bragg grating-based monitoring and warning system for expressway slopes, and the four-level early warning method based on statistical analysis was introduced, characterized by four different displacement rate ranges. Zhang et al [26] investigated internal deformation and the failure of a centrifuge model slope with horizontally and vertically embedded FBG arrays. Zhang et al [27] designed a real-time monitoring system based on FBG technology for the Majiagou landslide, which records the displacement at the deeper sliding surface, together with the rainfall, water level, pore water pressure, and temperature, and according to the analysis of these data, the stability evaluation of the slope was carried out.…”

Section: Introductionmentioning

confidence: 99%

Structural Detection and Stability Monitoring of Deep Strata on a Slope Using High-Density Resistivity Method and FBG Strain Sensors

Li,

Wei,

et al. 2024

Applied Sciences

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Under the influence of a variety of unfavorable factors, slope instability may occur, so the stability of the slope needs to be analyzed. In this paper, combined with the geological investigation data, the slope engineering geological profiles are derived based on 2D inversion maps of the high-density resistivity (HDR) method to obtain the overburden layer thickness. Then, a finite element model is established based on the mechanical and geometric parameters of the slope to analyze the displacement and deformation characteristics and obtain information about the potential sliding surface. The above analysis results are combined to determine the effective monitoring field and deploy (Fiber Bragg Grating) FBG strain detection piles for deep strain monitoring. The analysis showed that the shape and location of the potential sliding surface of the slope from the numerical simulation are consistent with those delineated by the HDR profile. The monitoring results show the rock and soil on the north side of the slope are soft and have poor stability, which is consistent with the HDR method detection results. Adopting the HDR method to identify the slope’s overall geological structure combined with FBG strain detection piles to obtain the deep deformation provided an effective monitoring technique for slope stability assessment.

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“…; (2) light weight, small size, suitable for a variety of geometric shapes. For example, the team of Bin Shi at Nanjing University applied fiber optic technology to deformation monitoring and strain measurement of rock and soil mass [21][22][23]. However, it still exists some deficiencies.…”

mentioning

confidence: 99%

Research on Structure Optimization and Measurement Method of a Large-Range Deep Displacement 3D Measuring Sensor

Shentu

Wang

et al. 2020

Sensors

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Deep displacement monitoring of rock and soil mass is the focus of current geological hazard research. In the previous works, we proposed a geophysical deep displacement characteristic information detection method by implanting magneto-electric sensing arrays in boreholes, and preliminarily designed the sensor prototype and algorithm of deep displacement three-dimensional (3D) measurement. On this basis, we optimized the structure of the sensing unit through 3D printing and other technologies, and improved the shape and material parameters of the permanent magnet after extensive experiments. Through in-depth analysis of the experimental data, based on the data query algorithm and the polynomial least square curve fitting theory, a new mathematical model for 3D measurement of deep displacement has been proposed. By virtue of it, the output values of mutual inductance voltage, Hall voltage and tilt measuring voltage measured by the sensing units can be converted into the variations of relative horizontal displacement, vertical displacement and axial tilt angle between any two adjacent sensing units in real time, and the measuring errors of horizontal and vertical displacement are tested to be 0-1.5 mm. The combination of structural optimization and measurement method upgrading extends the measurement range of the sensing unit from 0-30 mm to 0-50 mm. It shows that our revised deep displacement 3D measuring sensor can better meet the needs of high-precision monitoring at the initial stage of rock and soil deformation and large deformation monitoring at the rapid change and imminent-sliding stage. stage is characterized by cracks in the surface layer of rock and soil mass, followed by collapse [9]. Therefore, studying the deep displacement of rock and soil mass is more in line with the needs of disaster prevention and mitigation than the study of surface displacement. The deep displacement of rock and soil mass can reflect the dynamic stability of rock and soil mass more accurately and quickly, therefore it provides accurate, powerful data and theoretical support for early warning of landslides.However, the deep displacement measuring device must be buried deep underground, requiring the instrument to be strong, anticorrosive, convenient for installation, operation, long-distance signal transmission and so on. At the same time, the deep displacement monitoring environment is harsh and complicated, and there are problems such as no light, water seepage, corrosion, geotechnical shearing and extrusion, which can easily cause damage to the buried instruments. Therefore, compared with surface displacement monitoring, the development of deep displacement monitoring technology is relatively slow, and the types of deep displacement monitoring instruments that can be practically applied are obviously less and have poorer performance. At present, the global monitoring of deep displacement of rock and soil mass mainly includes borehole inclinometer, time domain reflection technology, Brillouin Optical Time Domain Reflection (BO...

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An Fiber Bragg Grating-Based Monitoring System for Slope Deformation Studies in Geotechnical Centrifuges

Cited by 13 publications

References 30 publications

Research on a Space–Time Continuous Sensing System for Overburden Deformation and Failure during Coal Mining

Research on a Space–Time Continuous Sensing System for Overburden Deformation and Failure during Coal Mining

Structural Detection and Stability Monitoring of Deep Strata on a Slope Using High-Density Resistivity Method and FBG Strain Sensors

Research on Structure Optimization and Measurement Method of a Large-Range Deep Displacement 3D Measuring Sensor

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