Geomechanics and Engineering

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Evaluating fiber-optic cable-soil mechanical coupling using elastoplastic pullout interaction modeling

  • Liu, Su-Ping (School of Earth Sciences and Engineering, Nanjing University) ;
  • Shi, Bin (School of Earth Sciences and Engineering, Nanjing University) ;
  • Zhang, Cheng-Cheng (School of Earth Sciences and Engineering, Nanjing University) ;
  • Gu, Kai (School of Earth Sciences and Engineering, Nanjing University) ;
  • Zhuang, Pei-Zhi (School of Civil Engineering, University of Leeds)
  • Received : 2021.02.19
  • Accepted : 2021.09.14
  • Published : 2021.09.25
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Abstract

The mechanical coupling between a fiber-optic cable and surrounding soil is a significant concern in distributed strain sensing-based geotechnical monitoring. In this study, the cable-soil mechanical coupling is quantitatively evaluated using elastoplastic pullout interaction modeling. Data from a laboratory pullout test performed on a 2-mm-diameter tight-buffered cable buried in a sand-gravel-clay mixture are used to validate a documented elastoplastic pullout model. By using cable axial strain profiles and cable-soil relative displacement measurements, two new indices are proposed to quantify the cable-soil mechanical coupling based on this model, in addition to the common interface shear strength proxy. A parametric study is conducted to investigate how the geometrical and mechanical properties of the cable and the cable-soil interface characteristics affect the two indices. Relating the parametric analysis to practical considerations, recommendations are made as to the design of strain-sensing cables for use in field and laboratory scenarios. Furthermore, modification to the elastoplastic pullout model is discussed to better simulate cable-soil pullout interactions. This study demonstrates that the elastoplastic pullout model can be effective in assessing cable-soil interface behavior and mechanical coupling.

Keywords

Acknowledgement

This work was supported by the National Natural Science Foundation of China (NSFC) grants 42030701 and 41427801 to B.S. C.-C.Z. acknowledges support by the Natural Science Foundation of Jiangsu Province grant BK20200217 and the Yuxiu Young Scholars Program of Nanjing University. K.G. acknowledges support by NSFC grant 41977217. S.-P.L. acknowledges support by the Postgraduate Research & Practice Innovation Program of Jiangsu Province grant KYCX19_0048 and the China Scholarship Council. S.-P.L. would like to thank Professor Hai-Sui Yu for his supervision and assistance at the University of Leeds.

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