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A machine learning method for inclinometer lateral deflection calculation based on distributed strain sensing technology

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Abstract

Due to its unique advantages, the distributed fiber optical sensing (DFOS) technology has been used to study the performance of inclinometer so as to monitor landslide deformation. Strain distribution of inclinometer can be obtained by distributed strain sensing (DSS) cables, and the strain-deflection relationship can be established by using the widely accepted methods (e.g., the quadratic integral method and classical conjugate beam method). However, the application of quadratic integral method and classical conjugate beam method are based on many assumptions, and there will be remarkable deviation between calculated deflection and actual displacement with the increase of integral length. Given this, a new deflection calculation method based on machine learning is proposed. Through learning on the monitoring data, an implicit function model between depth, strain, and measured displacement is established by using the BP (back propagation) neural network algorithm. The efficiency of the proposed model has been verified against measured displacement, which demonstrates the capability of this method for landslide deformation prediction. Compared with the traditional integral method, the lateral deflection curve of inclinometer calculated by the proposed method is closer to the actual measured displacement both in trend and values. The proposed model shows great potential in the application of deflection calculation in engineering.

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Acknowledgments

The authors would like to thank all the participants in this research work. The authors also thank the technicians from Suzhou NanZee Sensing Technology Co., Ltd. during the monitoring process.

Funding

The financial support for this study is provided by the State Key Program of National Natural Science Foundation of China (Grant No. 41427801) and National Key Research and Development Program of China (Grant No. 2018YFC1505104) along with the Fellowship provided by China Scholarship Council.

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Authors and Affiliations

  1. School of Earth Sciences and Engineering, Nanjing University, Nanjing, 210023, China

    Lei Zhang, Bin Shi & Honghu Zhu

  2. Department of Civil Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA

    Xiong Yu

  3. Suzhou NanZee Sensing Technology Co. Ltd, Suzhou, 215123, China

    Guangqing Wei

Authors
  1. Lei Zhang
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  2. Bin Shi
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  3. Honghu Zhu
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  4. Xiong Yu
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  5. Guangqing Wei
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Corresponding authors

Correspondence to Bin Shi or Honghu Zhu.

Appendix

Appendix

Table 3 (Dataset)
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Zhang, L., Shi, B., Zhu, H. et al. A machine learning method for inclinometer lateral deflection calculation based on distributed strain sensing technology. Bull Eng Geol Environ 79, 3383–3401 (2020). https://doi.org/10.1007/s10064-020-01749-3

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  • DOI: https://doi.org/10.1007/s10064-020-01749-3

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