Predicting anomalous zone ahead of tunnel face utilizing electrical resistivity: II. Field tests

Jinho Park, Kang Hyun Lee, Byung Kyu Kim, Hangseok Choi, In Mo Lee

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

In our companion paper (Park et al., 2016), a method was developed to predict the characteristics (i.e., location, thickness, permittivity ratio, and conductivity) of the anomalous zone ahead of a tunnel face by utilizing the electrical resistivity of the ground (hereafter referred to as the Ground Prediction Method). The prediction accuracy of the developed Ground Prediction Method is investigated via laboratory tests using artificially created anomalies. This paper is part two in the series of companion papers; it attempts to examine the prediction accuracy of the developed Ground Prediction Method via field testing. The field tests are performed at railway and highway construction sites, at which conventional tunneling methodology is employed for tunnel construction, as well as at a subway tunnel construction site, at which an earth pressure-balanced shield tunnel boring machine is used for tunneling work. At tunneling job sites using the conventional tunneling method, a relatively stronger and weaker zone are predicted ahead of the tunnel face at the railway and highway construction sites, respectively. On the other hand, a relatively stronger zone exhibiting lower permittivity than that of the rock adjacent to the tunnel face is predicted at the tunneling site employing the mechanized tunneling method. In conclusion, assessing the ground condition ahead of the tunnel face via the newly developed Ground Prediction Method proves to be effective; prediction results of ground conditions show good agreement with those characterized via direct observation of the excavated face taken during tunneling work using conventional tunneling methods, in addition to those predicted from daily observations of muck conditions carried out in the process of tunnel construction using the mechanized tunneling method.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalTunnelling and Underground Space Technology
Volume68
DOIs
Publication statusPublished - 2017 Sep 1

Keywords

  • Ahead of tunnel face
  • Anomalous zone
  • Resistivity survey
  • Tunnel boring machine
  • Tunnel resistivity prediction

ASJC Scopus subject areas

  • Building and Construction
  • Geotechnical Engineering and Engineering Geology

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