Open AccessSmart Risk Assessment Model of Water Inrush in Submarine Tunnel through AHP-TOPSIS and Intelligent Computing
Author(s) -
Qian Song,
Binghua Zhou,
Fanmeng Kong,
Xudong Jiang,
Yuehao Yu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2083/4/042054
Subject(s) - inrush current , analytic hierarchy process , topsis , subsea , fault (geology) , submarine , excavation , tunnel construction , marine engineering , engineering , civil engineering , computer science , reliability engineering , geotechnical engineering , operations research , geology , voltage , seismology , electrical engineering , transformer
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.