High-resolution distributed strain sensing system for landslide monitoring

Yu, Zhihua; Dai, Haolong; Zhang, Qi; Zhang, Mingyu; Liu, Li; Zhang, Jingjing; Jin, Xing

doi:10.1016/j.ijleo.2017.12.013

Cited by 15 publications

(7 citation statements)

References 6 publications

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“…In the context of natural hazards, Brillouin‐based distributed fiber‐optic sensing systems (BOTDA) have been utilized for landslide and deformation monitoring (Iten et al., 2008; Minardo et al., 2018), and coherent optical time‐domain reflectometry was successfully used for ground motion and deformation measurements on landslides (Yu et al., 2018). The suitability of OTDR systems like the Silixa iDAS(TM) DAS unit (used in this study) for the recording of acoustic emission precursors in soil in a laboratory setting was also already established several years ago (Michlmayr et al., 2017).…”

Section: Introductionmentioning

confidence: 99%

Phenomenology of Avalanche Recordings From Distributed Acoustic Sensing

et al. 2023

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Introduction MotivationPractically all mountainous regions worldwide are subject to some forms of rock falls, snow/rock/ice avalanches, debris flows and sediment-transporting floods. These rapid mass movements pose a significant hazard to both the population and infrastructure, with billions of dollars in financial damage and thousands of fatalities each year (Dilley, 2005;Emberson et al., 2020;Froude & Petley, 2018;Petley, 2012). According to the 2021 Intergovernmental Panel on Climate Change report, the "magnitude of debris flows might increase […] and the debris-flow season may last longer in a warmer climate" (Zhongming et al., 2021). This suggests that global warming will exacerbate the hazard potential of debris flows and various types of related mass movements. To early detect destructive events and mitigate their impact, extensive, reliable, and high-resolution monitoring and warning solutions are crucial. Seismic and acoustic instruments are increasingly popular for mass movement monitoring, since they record signatures of hazardous events even kilometers away from their occurrence without the need for a direct line of sight between source and sensor (Allstadt et al., 2018;Marchetti et al., 2019). The combination of unrivaled temporal resolution of seismic records and wide spatial sensitivity is a pivotal advantage over in situ measurements (Arattano & Marchi, 2008) and remote sensing approaches like radar technology (Leinss et al., 2020).

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Section: Introductionmentioning

confidence: 99%

Phenomenology of Avalanche Recordings From Distributed Acoustic Sensing

et al. 2023

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“…It is thus essential that landslides be effectively monitored and controlled. Anti-slide piles are a key element in landslide control and monitoring, the subject of increasing numbers of instruments and theories [ 2 , 3 , 4 ]. Anti-slide piles can transfer the thrust and shear force behind them from the sliding body to a stable layer such as bedrock, stabilizing a landslide.…”

Section: Introductionmentioning

confidence: 99%

“…Stress on the reinforcement bars on the compression side is ignored 4. The stages of stress development of reinforced concrete are ignored.Sensors 2022, 22, x FOR PEER REVIEW 13 of 23…”

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confidence: 99%

A Machine Learning Study on Internal Force Characteristics of the Anti-Slide Pile Based on the DOFS-BOTDA Monitoring Technology

Chaoqun

Deng

Yin

et al. 2022

Sensors

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Long-term monitoring of constructed anti-slide piles can help in understanding the processes by which anti-slide piles are subjected to the thrust of landslides. This paper examined the landslide control project of Badong No. 3 High School. The internal force of an anti-slide pile subjected to long-term action of landslide thrust was studied by Distributed Optical Fiber Sensing (DOFS) technology. The BP neural network was used for model training on the monitored strain values and the calculated bending moment values. The results show the following: (1) The monitoring results of the sensor fibers reflect the actual situation more accurately than steel rebar meters do and can locate the position of the sliding zone more accurately. (2) The bending moments distributed along the anti-slide pile have staged characteristics under the long-term action of landslide thrust. Three stages can be summarized according to the development trend of the bending moment values. These three stages can be divided into two change periods of landslide thrust. (3) The model produced by the BP neural network training can predict the bending moment values. In this paper, the sensing fibers monitoring over a long time interval provides a basis for long-term performance analysis of anti-slide piles and stability evaluation of landslides. Using the BP neural network for training relevant data can provide directions for future engineering monitoring. More novel methods can be devised and utilized that will be both accurate and convenient.

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“…Landslides are events that shift the soil due to rainfall, earthquakes, and soil displacement [1]. In Indonesia, landslides are natural disasters that cause casualties, property loss, environmental damage, and psychological impact.…”

Section: Introductionmentioning

confidence: 99%

“…Optical fiber is safe to use, has a high speed of light transmission, is resistant to corrosion, is not sensitive to electromagnetic waves, and does not conduct heat. In its use, the optical fiber can be combined with an OTDR as an instrument [1,[5][6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Detection of Displacement Using Glass Optical Fiber Sensor With Various Configuration

Lebang

Arifin

Abdullah

2021

IPR

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The research has measured the landslide using a displacement sensor based on Glass Optical Fiber (GOF) and Optical Time Domain Reflectometer (OTDR). The sensor manufacture process consists of various materials, structures, configurations, diameters, and directions. The sensor is made using GOF with a single-mode structure and single mode-multimode-Singlemode (SMS) structure. Each system is given a variety of configurations, namely gamma, bowknot, and three loops configuration. Each arrangement is provided a variation of the indentation diameter in three displacement directions. The test results will be read as the power loss on the OTDR in dB units. The results obtained were then compared between two materials, two structures, and directions. Displacement resulting landslides and changes to the sensor, causing power losses, and affecting the characteristics of each sensor. We found the best measurement results with the sensitivity value of 0.241 dB/mm and the resolution value of 0.004 mm. The displacement sensor has been made for measuring landslide in the laboratory-scale simulation based on GOF and OTDR with easier fabrication, easy operation, high sensitivity, better resolution and can be connected to a computer

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High-resolution distributed strain sensing system for landslide monitoring

Cited by 15 publications

References 6 publications

Phenomenology of Avalanche Recordings From Distributed Acoustic Sensing

Phenomenology of Avalanche Recordings From Distributed Acoustic Sensing

A Machine Learning Study on Internal Force Characteristics of the Anti-Slide Pile Based on the DOFS-BOTDA Monitoring Technology

Detection of Displacement Using Glass Optical Fiber Sensor With Various Configuration

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