The impact of thermal-hydraulic variation on tunnel long-term performance: a tale of two tunnels

  • Chao Wang
  • , Zhipeng Xiao
  • , Vanessa Di Murro
  • , John Osborne
  • , Miles Friedman
  • , Zili Li

Research output: Contribution to journalArticlepeer-review

Abstract

Long-term structural performance of ageing tunnels is influenced by various natural and anthropogenic factors. This study examines the impacts of two rarely investigated climatic factors: rainfall and temperature. Two dedicated case studies were conducted on the European Organisation for Nuclear Research (CERN) TT10 tunnel and Dublin port tunnel (DPT) using distributed fibre optic strain sensing (DFOS) and wireless sensor network (WSN) monitoring, respectively. DFOS data showed an increasing deformation in TT10 tunnel, attributed to tunnel deteriorations and ground deformation, with seasonal variation of lining strains linked to rainfall-related seasonal change in pore water pressure. However, inconsistencies in the rainfall-strain correlation were also noted due to geological complexities and varying pore water pressure sources. In contrast, WSN measurements showed that DPT deformation correlated with temperature, instead of precipitation. DPT deformation increased in warmer seasons and decreased in colder ones, in the absence of external disturbances, comprising reversible thermal deformation and irreversible deterioration-induced deformation. Over time, cyclic and periodic temperature changes caused elastic deformation to reverse, while plastic deformation accumulated, leading to ongoing tunnel deformation. These findings bring more insights into the resilience of critical underground infrastructure vulnerable to climate change, groundwater variations and other environmental factors.

Original languageEnglish
Pages (from-to)858-874
Number of pages17
JournalGeotechnique
Volume75
Issue number7
DOIs
Publication statusPublished - 19 Jun 2025

Keywords

  • distributed fibre optic sensing
  • field testing & monitoring
  • long-term tunnel performance
  • rainfall effect
  • seasonal change
  • temperature effects
  • tunnels & tunnelling
  • wireless sensor network

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