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Smart Risk Assessment Model of Water Inrush in Submarine Tunnel through AHP-TOPSIS and Intelligent Computing

Author(s):




Medium: journal article
Language(s): English
Published in: Journal of Physics: Conference Series, , n. 4, v. 2083
Page(s): 042054
DOI: 10.1088/1742-6596/2083/4/042054
Abstract:

In tunnel construction, water and mud inrush disasters are prone to occur when the tunnel traverses water-rich faults, which leads to structural damage and tunnel instability, which is one of the most severe hazards in tunnel excavation and construction. This paper proposes a method of combining AHP and TOPSIS. The weights are determined through the analytic hierarchy process utilizing expert scoring. The determined weights are evaluated and predicted by TOPSIS for water inrush risk. The Jiaozhou Bay Subsea Tunnel is used as a case to carry out the tunnel crossing the fault zone. Water inrush risk prediction provides a new idea for water inrush risk prediction.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1088/1742-6596/2083/4/042054.
  • About this
    data sheet
  • Reference-ID
    10670995
  • Published on:
    12/06/2022
  • Last updated on:
    12/06/2022
 
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