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GFII: A new index to identify geological features during shield tunnelling

journal contribution
posted on 2024-11-03, 10:28 authored by Tao Yan, Shuilong ShenShuilong Shen, Annan ZhouAnnan Zhou
Geological features play an essential role in ensuring the safety and enhancing the construction efficiency of shield tunnelling. However, owing to the concealed nature of the excavation environment, these features remain unobservable. Relying on a single shield parameter is insufficient to determine these geological features owing to the lack of detailed geological data. Consequently, a novel index, called geological feature identification index (GFII), has been introduced. This index incorporates shield parameters and employs various weighting techniques. First, the forces exerted on the shield machine throughout the tunnelling process are analysed. The shield parameters obtained from field recordings and their corresponding weights, which are affected by geological features, are evaluated using different weighting techniques. Subsequently, the GFII is used to assign index value to the geological conditions based on their resistance to the tunnelling procedure. The results reveal that both cutterhead torque and shield thrust weights are profoundly influenced by various geological features. Notably, the entropy-weighted GFII shows superior performance, evidencing a minimal overlap rate (19.4%) for hard rock. Thus, GFII can better represent the geological features compared to the fuzzy C-means algorithm classification and other existing indices. Furthermore, any pronounced fluctuation in the GFII may indicate the severity of the wear conditions of disc cutters. Therefore, GFII can assist engineers in planning shield maintenance schedules.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.tust.2023.105440
  2. 2.
    ISSN - Is published in 08867798

Journal

Tunnelling and Underground Space Technology

Volume

142

Number

105440

Start page

1

End page

13

Total pages

13

Publisher

Elsevier

Place published

United Kingdom

Language

English

Copyright

© 2023 Elsevier Ltd. All rights reserved.

Former Identifier

2006126539

Esploro creation date

2023-11-22

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