Probabilistic tunnel collapse risk evaluation model using analytical hierarchy process (AHP) and Delphi survey technique

Jeongheum Kim, Changyong Kim, Garam Kim, Incheol Kim, Qaisar Abbas, Junhwan Lee

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

Tunnel collapse hazard is a key issue in tunnel construction, which should be adequately assessed to prevent economic damage and casualty. The present study proposed a risk evaluation model for tunnel collapse based on a quantified grading system and influence factors that significantly affected the tunnel collapse hazard. For this purpose, 24 actual tunnel collapse cases were collected, and a database was established to select significant influence factors as the risk evaluation indices. The Analytic Hierarchy Process (AHP) technique and Delphi survey analysis were then adopted to quantify the influence factors and the grading system for the risk evaluation of tunnel collapse. The significant influence factors were selected using the grading guide based on the weight importance and rating score of each considered influence factor. As an evaluation criterion, the TR index based on the probability distribution of weighted influence factors was proposed to compare the risk of collapse using Monte-Carlo simulation. The proposed evaluation model and TR index were validated by comparing and analyzing the risk index calculated using the proposed grading system for actual tunnel cases with and without collapse. The evaluated risk indices were in good agreement with the measured result from field cases.

Original languageEnglish
Article number104262
JournalTunnelling and Underground Space Technology
Volume120
DOIs
Publication statusPublished - 2022 Feb

Bibliographical note

Publisher Copyright:
© 2021 Elsevier Ltd

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Geotechnical Engineering and Engineering Geology

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