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LIU Xiaoyu, FAN Zhiyong, WU Jiang. Evolution of deformation and monitoring techniques of surface tilt for soil landslides using MEMS technique[J]. The Chinese Journal of Geological Hazard and Control, 2020, 31(6): 69-77. DOI: 10.16031/j.cnki.issn.1003-8035.2020.06.09
Citation: LIU Xiaoyu, FAN Zhiyong, WU Jiang. Evolution of deformation and monitoring techniques of surface tilt for soil landslides using MEMS technique[J]. The Chinese Journal of Geological Hazard and Control, 2020, 31(6): 69-77. DOI: 10.16031/j.cnki.issn.1003-8035.2020.06.09

Evolution of deformation and monitoring techniques of surface tilt for soil landslides using MEMS technique

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  • Received Date: August 24, 2020
  • Revised Date: September 09, 2020
  • Available Online: January 21, 2021
  • With the rapid development of modern information technology,the ability to obtain various monitoring information of landslide is becoming stronger and stronger,and the field monitoring data accumulated is also more and more. How to make full use of the monitoring data has become a key issue in landslide monitoring and early warning work. Therefore,soil landslide is taken as the research object in this paper,and the strength reduction finite element method is used to study the temporal-spatial evolution characteristics of surface tilt deformation. It is found that the so-called "rate sequence transition" occurs during the period from sliding surface extension to breakthrough,and the so-called "rate mutation" occurs after the sliding surface passes through. The quantitative correlation between the surface tilt deformation and the internal sliding surface can provide a new perspective and direction for the study of medium and short-term prediction of soil landslides. With the help of theoretical results,this paper further studies the key techniques of surface tilt deformation monitoring,discusses the measurement principle and measurement accuracy of inclination sensor based on MEMS accelerometer,analyzes the influence of environmental temperature difference fluctuation on inclination measurement error,and finally introduces a universal landslide surface tilt deformation monitoring equipment-Shallow deformation measuring instrument for slope.
  • [1]
    黄润秋. 20世纪以来中国的大型滑坡及其发生机制[J]. 岩石力学与工程学报, 2007, 26(3):433-454.

    [HUANG R Q. Large-scale landslides and their sliding mechanisms in China since the 20th century[J]. Chinese Journal of Rock Mechanics and Engineering, 2007, 26(3):433-454.(in Chinese)]
    [2]
    刘传正. 中国崩塌滑坡泥石流灾害成因类型[J]. 地质论评, 2014, 60(4):858-868.

    [LIU C Z. Genetic types of landslide and debris flow disasters in China[J]. Geological Review, 2014, 60(4):858-868.(in Chinese)]
    [3]
    殷跃平, 吴树仁, 等. 滑坡监测预警与应急防治技术研究[M]. 北京:科学出版社, 2012.[YIN Y P, WU S R,et al. Research on landslide monitoring,early warning and emergency prevention technology[M]. Beijing:Science Press, 2012.(in Chinese)]
    [4]
    许强, 董秀军, 李为乐. 基于天-空-地一体化的重大地质灾害隐患早期识别与监测预警[J]. 武汉大学学报·信息科学版, 2019, 44(7):957-966.

    [XU Q, DONG X J, LI W L. Integrated space-air-ground early detection, monitoring and warning system for potential catastrophic geohazards[J]. Geomatics and Information Science of Wuhan University, 2019, 44(7):957-966.(in Chinese)]
    [5]
    殷坤龙. 滑坡灾害预测预报[M]. 武汉:中国地质大学出版社, 2004.[YIN K L. Landslide hazard prediction and evaluation[M]. Wuhan:China University of Geosciences Press, 2004.(in Chinese)]
    [6]
    许强, 黄润秋, 李秀珍. 滑坡时间预测预报研究进展[J]. 地球科学进展, 2004, 19(3):478-483.

    [XU Q, HUANG R Q, LI X Z. Research progress in time forecast and prediction of landslides[J]. Advance in Earth Sciences, 2004, 19(3):478-483.(in Chinese)]
    [7]
    许强. 对滑坡监测预警相关问题的认识与思考[J]. 工程地质学报, 2020, 28(2):360-374.

    [XU Q. Understanding the landslide monitoring and early warn-ing:consideration to practical issues[J]. Journal of Engineering Geology, 2020, 28(2):360-374.(in Chinese)]
    [8]
    DU J, YIN K L, LACASSE S. Displacement prediction in colluvial landslides, Three Gorges Reservoir, China[J]. Landslides, 2013, 10(2):203-218.
    [9]
    李麟玮, 吴益平, 苗发盛, 等. 基于变分模态分解与GWO-MIC-SVR模型的滑坡位移预测研究[J]. 岩石力学与工程学报, 2018, 37(6):1395-1406.

    [LI L W, WU Y P, MIAO F S, et al. Displacement prediction of landslides based on variational mode decomposition and GWO-MIC-SVR model[J]. Chinese Journal of Rock Mechanics and Engineering, 2018, 37(6):1395-1406.(in Chinese)]
    [10]
    INTRIERI E, CARLÀ T, GIGLI G. Forecasting the time of failure of landslides at slope-scale:a literature review[J]. Earth-Science Reviews, 2019, 193:333-349.
    [11]
    郭科, 彭继兵, 许强, 等. 滑坡多点数据融合中的多传感器目标跟踪技术应用[J]. 岩土力学, 2006, 27(3):479-481.

    [GUO K, PENG J B, XU Q, et al. Application of multi-sensor target tracking to multi-station monitoring data fusion in landslide[J]. Rock and Soil Mechanics, 2006, 27(3):479-481.(in Chinese)]
    [12]
    彭鹏, 单治钢, 董育烦, 等. 多传感器估值融合理论在滑坡动态变形监测中的应用研究[J]. 工程地质学报, 2011, 19(6):928-934.

    [PENG P, SHAN Z G, DONG Y F, et al. Application of multi-sensor valuation fusion theory to monitoring dynamic deformation of landslides[J]. Journal of Engineering Geology, 2011, 19(6):928-934.(in Chinese)]
    [13]
    BAK P, TANG C, WIESENFELD K. Self-organized criticality:an explanation of the 1/fnoise[J]. Physical Review Letters, 1987, 59(4):381.
    [14]
    许强, 黄润秋. 岩石破裂过程的自组织临界特征初探[J]. 地质灾害与环境保护, 1996, 7(1):25-30.

    [XU Q, HUANG R Q. Disscussion on self-organized critical characters in the course of rock failure[J]. Journal of Geological Hazards and Environment Preservation, 1996, 7(1):25-30.(in Chinese)]
    [15]
    白以龙, 汪海英, 夏蒙棼, 等. 固体的统计细观力学——连接多个耦合的时空尺度[J]. 力学进展, 2006, 36(2):286-305.

    [BAI Y L, WANG H Y, XIA M F, et al. Statistical mesomechanics of solid, linking coupled multiple space and time scales[J]. Advances in Mechanics, 2006, 36(2):286-305.(in Chinese)]
    [16]
    许强, 汤明高, 徐开祥, 等. 滑坡时空演化规律及预警预报研究[J]. 岩石力学与工程学报, 2008, 27(6):1104-1112.

    [XU Q, TANG M G, XU K X, et al. Research on space-time evolution laws and early warning-prediction of landslides[J]. Chinese Journal of Rock Mechanics and Engineering, 2008, 27(6):1104-1112.(in Chinese)]
    [17]
    GRIFFITHS D V, LANE P A. Slope stability analysis by finite elements[J]. Géotechnique, 1999, 49(3):387-403.
    [18]
    刘晓宇, 赵颖, 刘洋, 等. 土质边坡极限平衡状态及临界滑动面的判定方法[J]. 岩石力学与工程学报, 2012, 31(7):1369-1378.

    [LIU X Y, ZHAO Y, LIU Y, et al. Determination method of limit equilibrium state and critical slip surface of soil slope[J]. Chinese Journal of Rock Mechanics and Engineering, 2012, 31(7):1369-1378.(in Chinese)]
    [19]
    DAWSON E M, ROTH W H, DRESCHER A. Slope stability analysis by strength reduction[J]. Géotechnique, 1999, 49(6):835-840.
    [20]
    郑颖人, 赵尚毅, 张鲁渝. 用有限元强度折减法进行边坡稳定分析[J]. 中国工程科学, 2002, 4(10):57-61.

    [ZHENG Y R, ZHAO S Y, ZHANG L Y. Slope stability analysis by strength reduction FEM[J]. Engineering Science, 2002, 4(10):57-61.(in Chinese)]
    [21]
    EBERHARDT E, STEAD D, COGGAN J S. Numerical analysis of initiation and progressive failure in natural rock slopes-the 1991 Randa rockslide[J]. International Journal of Rock Mechanics and Mining Sciences, 2004, 41(1):69-87.
    [22]
    PREISIG G. Forecasting the long-term activity of deep-seated landslides via groundwater flow and slope stability modelling[J]. Landslides, 2020, 17(7):1693-1702.
    [23]
    赵正平. MEMS智能传感器技术的新进展[J]. 微纳电子技术, 2019, 56(1):1-7.

    [ZHAO Z P. New progress of smart sensor technology based on MEMS[J]. Micronanoelectronic Technology, 2019, 56(1):1-7.(in Chinese)]
    [24]
    曹贯强, 赵文生. 基于MEMS加速度计的高精度倾角传感器研制[J]. 自动化仪表, 2020, 41(3):25-28.

    [CAO G Q, ZHAO W S. Development of high precision tilt sensor based on MEMS accelerometer[J]. Process Automation Instrumentation, 2020, 41(3):25-28.(in Chinese)]
    [25]
    杨贺, 王立伟, 郝圣旺. 基于倾角演化的滑坡监测及稳定过程[J]. 工程力学, 2020, 37(增刊1):193-199.[YANG H, WANG L W, HAO S W. Landslide monitoring and its stabilization process based on an in situ tilt monitoring system[J]. Engineering Mechanics, 2020, 37

    (Sup1):193-199.(in Chinese)]
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