Slope deformation monitoring in the Jiufenershan landslide using time domain reflectometry technology

Ho, Shei-Chen; Chen, I-Hui; Lin, Yung-Kai; Chen, Junyang; Su, Miau-Bin

doi:10.1007/s10346-019-01139-1

Cited by 15 publications

(30 citation statements)

References 14 publications

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Section: Figurementioning

confidence: 99%

“…Instrumentation of extension bench test (adapted from [18]). magnitude of shear deformations in the field corresponding to relative changes of reflection coefficients interrogated by on-site TDR system [17,18]. For the extension test, a 1-m test specimen was installed on the bench, which was set as two 20-cm-length units; one was a moving unit T1 and the other was fixed, as shown in Figure 4 [18].…”

Section: Figurementioning

confidence: 99%

“…Secondly, an important ability for the TDR technology is to locate the relative movement along the cable by extended or shear stress that causes the change of cable characteristic impedance when two adjacent rock masses move each other [15,16]. Finally, reflection coefficients of TDR-cable deformation are positive correlations with the rate of slope movement [9,17,18].…”

Section: Introductionmentioning

confidence: 99%

“…The other theme is for field TRD monitoring. There are several TDR monitoring stations in six landslide areas where occurred some slides in Taiwan [6,[17][18][19]. Finally, the study analyzes field data from TDR monitoring stations to compare to results of quantification in laboratory tests and to determine the location, type, and magnitude of slope movement for long-term monitoring in the landslide areas.…”

Section: Introductionmentioning

confidence: 99%

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Long-Term Monitoring of Slope Movements with Time-Domain Reflectometry Technology in Landslide Areas, Taiwan

Su¹,

Chen²,

Ho³

et al. 2020

Landslides - Investigation and Monitoring

Self Cite

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The study employs time-domain reflectometry (TDR) technology for landslide monitoring to explore rock deformation mechanism and to estimate locations of potential sliding surfaces in several landslide areas, Taiwan, over ten years. Comparing to laboratory and field testing, sliding surfaces in landslide areas occurred mainly at two types, namely shear and extension failure. The TDR technology is used for field monitoring to analyze locations of sliding surfaces and to quantify the magnitude of the sliding through laboratory shear and extension tests. There are several TDR-monitoring stations in six alpine landslide areas in the middle of Taiwan for long-term monitoring. A relation between TDR reflection coefficients and shear displacements was employed for a localized shear deformation in the field. Furthermore, the type of a cable rupture for the TDR monitoring in landslides can be determined as shear, extension, or compound failure through the field TDR waveforms. Overall, the TDR technology is practically used for a long-term monitoring system to detect the location and magnitude of slope movement in landslide areas.

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Section: Figurementioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Long-Term Monitoring of Slope Movements with Time-Domain Reflectometry Technology in Landslide Areas, Taiwan

Su¹,

Chen²,

Ho³

et al. 2020

Landslides - Investigation and Monitoring

Self Cite

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“…However, TDR technology still has its shortcomings. It is mostly used to measure soil shear force and hardly suitable for three-dimensional measurement of deep displacement of rock and soil [15,16]. TDR technology cannot measure the direction of internal displacement of rock and soil mass, so it is unable to warn of the sliding direction of rock and soil mass, which seriously affects the accuracy and real-time of disaster warning and risk assessment.…”

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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Automatic TDR Monitoring System for Rock Mass Deformation in a Landslide Area

Chu

Chen

2021

Exp Tech

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Slope deformation monitoring in the Jiufenershan landslide using time domain reflectometry technology

Cited by 15 publications

References 14 publications

Long-Term Monitoring of Slope Movements with Time-Domain Reflectometry Technology in Landslide Areas, Taiwan

Long-Term Monitoring of Slope Movements with Time-Domain Reflectometry Technology in Landslide Areas, Taiwan

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

Automatic TDR Monitoring System for Rock Mass Deformation in a Landslide Area

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