Statistical analysis of major tunnel construction accidents in China from 2010 to 2020

Yimo Zhu, Jianjun Zhou, Bing Zhang, Huachuan Wang, Mengqi Huang

Research output: Contribution to journalArticlepeer-review

75 Citations (Scopus)

Abstract

The increase of transport mileage and expansion of underground space foster rapid development in tunnel engineering, particularly in China. China has the largest number of existing tunnels, and the growth rate has doubled over the past decade; whereas varied geographical environments, complex geological conditions, and incomplete management systems result in frequent tunnel construction accidents. The existing studies mostly focused on an individual accident type or operation stage, and the databases built decades ago are becoming obsolete to match developing construction concepts and technologies. Motivated by this concern, this paper conducts the statistical analysis on 48 cases of major tunnel construction accidents (MTCA, defined as an accident that results in more than three deaths) in China from 2010 to 2020, and examines the accident characteristics, including classification, time, region, location, construction method, and risk source. Based on the above time-space distributions of MTCA, two critical scientific issues concerning the safe construction of underground tunnels are discussed, including how to accurately evaluate the resilient network of hazards -vulnerable tunnel engineering, and how to build an efficient monitoring-mitigation-rescue system. The purpose is to provide a theoretical foundation for developing a database-driven management system that improves the resilience of tunnel construction to multiple hazards.
Original languageEnglish
Article number104460
Number of pages14
JournalTunnelling and Underground Space Technology
Volume124
Early online date16 Mar 2022
DOIs
Publication statusPublished - 30 Jun 2022

Funding

This work was financially supported by the The Opening Subject of State Key Laboratory of Shield Machine and Boring Technology (SKLST-2018-k03). The first author would like to acknowledge the Monash-China Scholarship Council (CSC) Scholarship (202007000009).

Keywords

  • tunnel construction
  • construction management
  • risk assessment
  • accident prevention
  • accident database

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