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JIANG Sheng-hua, ZHOU Zhi, OU Jin-ping. Slope deformation monitoring principle based on magnetic gradient tensor[J]. Chinese Journal of Geotechnical Engineering, 2012, 34(10): 1944-1949.
Citation: JIANG Sheng-hua, ZHOU Zhi, OU Jin-ping. Slope deformation monitoring principle based on magnetic gradient tensor[J]. Chinese Journal of Geotechnical Engineering, 2012, 34(10): 1944-1949.

Slope deformation monitoring principle based on magnetic gradient tensor

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  • Received Date: November 27, 2011
  • Published Date: November 13, 2012
  • The existing slope deformation sensors are easily influenced by rainwater, mud-rock flows, rolling stones and other environmental factors, and the arrangement of equipment is not convenient for the internal deformation monitoring. Based on the magnetic detection, the smart rock is fabricated with magnetic label, and a slope monitoring system is established with the combination of smart rock and magnetometer. The genetic algorithm is improved by the Levenberg-Marquardt algorithm to realize the localization of smart rock using magnetic gradient tensors. The separation of earth's magnetic field and the smart rock’s magnetic strength is avoided through localization based on the magnetic gradient tensors, and the convergence and the accuracy of optimization are solved during the magnetic inversion. In the example, the slope deformation monitoring by magnetic inversion can reach the accuracy of 0.01 m through the magnetic gradient tensors, but the accuracy can be adjusted by increasing the moment of magnetic label and by changing the location of magnetic gradiometer in the practical engineering monitoring.
  • [1]
    DUNCAN J M. Factors of safety and reliability in geotechnical engineering[J]. Journal of Geotechnical and Geoenviron- mental Engineering, 2000, 126(4): 307–316.
    [2]
    BEA R. Reliability and human factors in geotechnical engineering[J]. Journal of Geotechnical and Geoenviron- mental Engineering, 2006, 132(5): 631–643.
    [3]
    KAYODE S O, THOMAS B A. Review of surface mine slope monitoring techniques[J]. Journal of Mining Science, 2010, 46(2): 177–186.
    [4]
    GIKAS V, SAKELLARIOU M. Settlement analysis of the Mornos earth dam (Greece): Evidence from numerical modeling and geodetic monitoring[J]. Engineering Structures, 2008, 30(11): 3074–3081.
    [5]
    BERARDINO P, COSTANTINI M, FRANCESCHETTI G, et al. Use of differential SAR interferometry in monitoring and modeling large slope instability at Maratea (Basilicata, Italy)[J]. Engineering Geology, 2003, 68(1/2): 31–51.
    [6]
    ROTT H, SCHEUCH B, SIEGEl A, et al. Monitoring very slow slope movements by means of SAR interferometry: A case study from a mass waste above a reservoir in the Otztal Alps, Austria[J]. Geophysical Research Letters, 1999, 26(1): 1629–1.
    [7]
    WANG J P, GAO J X, LIU C, et al. High precision slope deformation monitoring model based on the GPS/Pseudolites technology in open-pit mine[J]. Mining Science and Technology, 2010(20): 126–132.
    [8]
    RIZZO V. GPS monitoring and new data on slope movements in the Maratea Valley[J]. Physics and Chemistry of the Earth, 2002(27): 1535–1544.
    [9]
    HE X F, SANG W G, CHEN Y Q, et al. Steep-slope monitoring GPS multiple-antenna system at Xiaowan dam[J]. Surveying & Mapping, 2005, 11: 20–25.
    [10]
    OHNISHI Y, NISHIYAMA S, YANO T, et al. A study of the application of digital photogrammetry to slope monitoring systems[J]. International Journal of Rock Mechanics & Mining Sciences, 2006(43): 756–766.
    [11]
    KANE W F, BECK T J. Rapid slope monitoring[J]. Civil Engineering, 1996, 66(6): 56–58.
    [12]
    ANDERSON N, WELCH D. Practical applications of time domain reflectometry (TDR) to monitor and analyze soil and rock slopes[C]// GeoDenver 2000 Specialty Conference Geotechnical Measurements-Lab and Field, Denver, Co, USA, Geotechnical Special Publication, 2000, 106: 65–79.
    [13]
    YOSHIDA Y, KASHIWAI Y, MURAKAMI E. Development of the monitoring system for slope deformations with fiber bragg grating arrays[C]// Smart Structures and Materials 2002: Smart Sensor Technology and Measurement Systems, Proceedings of SPIE, 2002, 4694: 296–303.
    [14]
    WANG B J, LI K, SHI B, et al. Test on application of distributed fiber optic sensing technique into soil slope monitoring[J]. Landslides, 2009, 6(1): 61–68.
    [15]
    张朝阳, 肖昌汉. 海底布放磁传感器的磁定位方法的模拟实验研究[J]. 上海交通大学学报, 2011, 45(6): 826–830. (ZHANG Zhao-yang, XIAO Chang-han. Simulation experiment research for magnetic localization method for magnetometer sensor at seabed[J]. Journal of Shanghai Jiaotong University, 2011, 45(6): 826–830. (in Chinese))
    [16]
    FILIPSKI M N, ABDULLAH E J. Nanosatellite navigation with the WMM2005 geomagnetic field model[J]. Turkish Journal of Engineering & Environmental Sciences, 2006, 30(1): 43–56.
    [17]
    MERLAT L, NAZ P. Magnetic localization and identification of vehicles[C]// Unattended Ground Sensor Technologies and Applications, Proceedings of SPIE. US SPIE, 2003: 525–530.
    [18]
    黄 玉, 郝燕玲. 水下地磁异常反演中位置磁矩联合迭代算法[J]. 华中科技大学学报(自然科学版), 2011, 39(7): 95–98. (HUANG Yu, HAO Yan-ling. Iterative-combined algorithm of position and magnetic moment in underwater geomagnetic anomaly inversion localization[J]. J Huangzhong Univ of Sci & Tech (Natural Science), 2011, 39(7): 95–98. (in Chinese))
    [19]
    DAVIS K, LI Y G, NABIGHIAN M. Automatic detection of UXO magnetic anomalies using extended Euler deconvolution[J]. Geophysics, 2010, 75(3): 13–20.
    [20]
    张朝阳, 肖昌汉, 高俊吉, 等. 磁性物体磁偶极子模型适用性的试验研究[J]. 应用基础与工程科学学报, 2010, 18(5): 862–868. (ZHANG Zhao-yang, XIAO Chang-han, GAO Jun-ji, et al. Experiment research of magnetic dipole model applicability for a magnetic object[J]. Journal of Basic Science and Engineering, 2010, 18(5): 862–868. (in Chinese))
    [21]
    WYNN W M. Magnetic dipole localization using the gradient rate tensor measured by a five-axis magnetic gradiometer with known velocity[C]// Detection Technologies for Mines and Minelike Targets, Proceeding of SPIE, 1995, 2496: 357–367.
    [22]
    ZHAO Z D, WANG G, ZHAO W, et al. A fuzzy adaptive multi-population parallel genetic algorithm for spam filtering[J]. Journal of Convergence Information Technology, 2011, 6(2): 172–182.
    [23]
    玄光男. 遗传算法与工程设计[M]. 北京: 科学出版社, 2000. (GEN M. Genetic algorithm and engineering design[M]. Beijing: Science Press, 2000. (in Chinese))
    [24]
    OH S K, KIM C T, LEE J J. Balancing the selection pressures and migration schemes in parallel genetic algorithms for planning multiple paths[C]// Proceedings of IEEE International Conference on Robotics and Automation, Seoul, Korea, Institute of Electrical and Electronics Engineers Inc, 2001: 3314–3319.
    [25]
    SRINIVAS M, PATNAIK L M. Adaptive probabilities of crossover and mutation in genetic algorithms[J]. IEEE Transactions on Systems, Man and Cybernetics, 1994, 24(4): 656–667.
    [26]
    LEVENBERG K. A method for the solution of certain nonlinear problems in least squares[J]. Quarterly of Applied Mathematics, 1944(2): 164–166.
    [27]
    MARQUARDT D W. An algorithm for least-squares estimation of nonlinear inequalities[J]. Journal on Applied Mathematics, 1963(11): 431–441.
    [28]
    GON?ALVES J F, RESENDE M G C. A parallel multi-population genetic algorithm for a constrained two-dimensional orthogonal packing problem[J]. Journal of Combinatorial Optimization, 2011, 22(2): 180–201.

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