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Performance evaluation of underground pipelines subjected to landslide thrust with fiber optic strain sensing nerves

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Abstract

High-accuracy deformation monitoring is crucial for investigating landslide–pipeline interaction problems, in which the fiber optic nerve system (FONS) holds enormous potential. This paper presents a theoretical framework for interpreting landslide–pipeline interactions using the FONS and proposes a novel method for calculating characteristic parameters of pipe–soil interfaces based on distributed strain measurements. The feasibility of this method is validated through a full-scale model test, and its application for studying pipeline behaviors is demonstrated in the Xinpu landslide, situated in the Three Gorges Reservoir region, China. The field monitoring results reveal that short-duration, high-intensity rainfall events triggered immediate acceleration of landslide movements, leading to pipeline elongation and flexure. Strain measurements of the underground pipeline allow for the identification of the local slipping interface of the landslide. Furthermore, the relationships between reservoir water level (RWL) fluctuations, rainfall events, landslide deformation, and the structural response of the pipe are analyzed. The findings suggest that the deformation of the landslide in the leading and middle parts exhibits high correlations with the combined effect of rainfall and RWL drawdown.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (42077235) and the National Science Fund for Distinguished Young Scholars of National Natural Science Foundation of China (42225702). D.-Y. Wang was supported by the Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX22_0162). We thank J. Wang, T.-C. Xie, J. Li, Z.-Y. Liu, and all those from Nanjing University who were involved in the Xinpu landslide monitoring campaign for their field and technical assistance.

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Authors and Affiliations

  1. School of Earth Sciences and Engineering, Nanjing University, 362 Zhugongshan Bldg, 163 Xianlin Ave, Qixia District, Nanjing, 210023, Jiangsu, China

    De-yang Wang, Hong-hu Zhu, Bing Wu, Xiao Ye, Jing Wang, Dao-yuan Tan & Bin Shi

  2. Jiangsu Province Engineering Research Center of Earth Sensing and Disaster Control, Nanjing, 210023, China

    Hong-hu Zhu & Bin Shi

  3. Rm ZS969, Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China

    De-yang Wang

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  1. De-yang Wang
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Contributions

Conceptualization was performed by H.-H. Z; methodology by D.-Y. W, H.-H. Z; formal analysis and investigation by D.-Y. W, B. W, X. Y, J. W, D.-Y. T; writing—original draft preparation—by D.-Y. W, H.-H. Z; writing—review and editing—by D.-Y. W, H.-H. Z, D.-Y. T, B. S; funding acquisition by H.-H. Z, B. S.

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Correspondence to Hong-hu Zhu or Dao-yuan Tan.

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Wang, Dy., Zhu, Hh., Wu, B. et al. Performance evaluation of underground pipelines subjected to landslide thrust with fiber optic strain sensing nerves. Acta Geotech. (2024). https://doi.org/10.1007/s11440-024-02311-1

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