Abstract
Landslide can seriously endanger people’s life and hinder the development of national economy. With the rise and development of MEMS (Micro-electro mechanical system) technology, MEMS sensors with the advantages of small size, low cost and high precision quickly stand out from the conventional monitoring methods. In this paper, based on MEMS sensors, a model test was designed to explore the sliding characteristics and the reinforcement effect of bolts in slope. Two series of experimental tests with different slope angles of 45° and 50° reinforced by bolts were carried out. The landslide was triggered by simulated rainfall. MEMS sensors were setup in the slope to capture the acceleration, angular velocity and angle of slope sliding in real-time wirelessly and continually. The research shows that: when the slope angle was 45°, only creep was observed; the acceleration and angle in the interior, bottom and surface of slope indicated by MEMS sensors were gradually changed while almost no change in the rear of the slope. When the slope angle increased to 50°, the acceleration and angle of slope in multi points were also gradually changed before the slope failure, especially in the bottom and the surface of the slope. Such fact indicates that MEMS sensors can play a certain role in landslide early warning; when the slope failed, the acceleration and angle in the surface and bottom of the slope were suddenly changed while small variations in the rear of the slope and almost no change inside of the slope. MEMS sensors can realize low-cost and high-precision continuously real-time monitoring of the kinematic characteristics of the landslide, which plays a certain role in understanding and early warning of landslides.
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References
Goodman, R.E., Kieefer, D.S.: Behavior of rock in slopes. J. Geotech. Geoenviron. Eng. 8, 675–684 (2000)
Bjerrum, D.L.: Progressive failure in slopes of over consolidated plastic clay and clay shales. Soli Mech. Found. Div. 93(SM5), 3–49 (1967)
Chowdhury, R.N., A-Grivas, D.: Probabilistic model of progressive failure of slopes. Geotech. Eng. Div. 108(GT6), 803–819 (1982)
Chowdhury, R.N., Tang, W.H., Sidi, I.: Reliability model of progressive slope failure. Geotechnique 37(4), 467–481 (1987)
Xu, J., Yang, J., Yan, Z., et al.: Intelligent safety monitoring and on-site disaster warning technology of highway slope safety. Soil Eng. Found. 31(02), 240–243 (2017)
Sun, H.: Study on the monitoring and prediction of the slope of Jian-shan phosphate rock. Kunming University of Science and Technology (2014)
Yin, J., Ding, X., Yang, Y., et al.: Conventional instrument combined with GPS automatic remote control of the slope monitoring system. Chin. J. Rock Mech. Eng. 23(03), 357–364 (2004)
Liang, Z., Chen, Y., Chen, R., et al.: The coaxial cable of the electromagnetic wave reflection technique monitoring of landslide research. Chin. J. Geotech. Eng. 27(4), 453–458 (2005)
Wu, X., Tu, Y.: A new method of landslide monitoring - TDR technology analysis. Chin. J. Rock Mech. Eng. 21(5), 740–744 (2002)
Qiu, D., Lu, X., Li, P.: Monitoring and warning system of high and steep slope of DMCC based on GPS and GIS. J. Wuhan Inst. Technol. 32(01), 16–18 (2010)
Yang, Z.: Research and application of a new type of measurement method, pp. 1–96. Jiangsu University of Science and Technology (2016)
Sun, J.: Application of fiber Bragg grating displacement sensor in slope monitoring. Ind. Mine Autom. 40(02), 95–98 (2014)
Wang, S.: Current status and application of MEMS sensors. Microelectron. Technol. 48(08), 516–522 (2011)
Fang, Y.J., Wung, A., Mukherjee, T., et al.: A SI-CMOS-MEMS process using back-side grinding. In: IEEE Conference on MEMS, pp. 364–367 (2010)
Yole Development SA: Kistler North America introduces high-sensitivity, single axis K-Beam MEMS capacitive accelerometer. Micronews, 103, 10 (2010)
Li, X.: Experimental study on large-scale physical model of landslide and bolt anti-slide pile interaction. Chang’an University (2011)
Chen, Y., Uchimura, T., Irfan, M., et al.: Detection of water infiltration and deformation of unsaturated soils by elastic wave velocity. Landslides 14(5), 1715–1730 (2017)
Liu, Y., Chen, K., Lyu, M., et al.: Model experiment of response of red clay slope under dry-wet cycle. Water Resour. Hydropower Eng. 49(8), 193–203 (2018)
Acknowledgements
The research was conducted at the Sun Yat-sen University and supported by National Key R&D Program of China (2017YFB1201102) and Natural science foundation of Guangdong province (2018A0303130154). The authors also acknowledge the support from the School of Earth Sciences and Engineering at Sun Yat-sen University via the Researchers Grant.
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Li, Wl., Gao, Y., Yuan, Q., Wu, Z. (2020). Experimental Characteristics of Bolt-Reinforced Slope Motion Based on MEMS Sensors. In: Correia, A., Tinoco, J., Cortez, P., Lamas, L. (eds) Information Technology in Geo-Engineering. ICITG 2019. Springer Series in Geomechanics and Geoengineering. Springer, Cham. https://doi.org/10.1007/978-3-030-32029-4_55
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DOI: https://doi.org/10.1007/978-3-030-32029-4_55
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