PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 26, 2026Transportation Research Record Journal of the Transportation Research Board1 citations

Predicting Metro Tunnel Deformation from Adjacent Excavation Using a Nonlinear Shear-Considered Model

View Full Paper
FMFei MengSQShifan QiaoJTJun-kun Tan

Key Points

  • To develop a model that predicts tunnel deformation caused by nearby excavation activities.
  • Developed a nonlinear Pasternak–Timoshenko model (NPTM)
  • Validated the model against a finite element model and engineering cases
  • Conducted parametric analysis on pit-tunnel distance and soil shear strength
  • Soil nonlinearity dominates deformation in wide excavations.
  • Peak deformation occurs at the edge of wide excavations.
  • For narrow excavations, tunnel shear behavior is more critical.
  • Deformation benefits diminish with shear strength above 80 kPa.
  • Deformation reduces significantly beyond pit-tunnel distance of 15 m.

Abstract

To more accurately predict existing shield tunnel deformation induced by adjacent excavation, this study developed a nonlinear Pasternak–Timoshenko model (NPTM). The model innovatively integrates nonlinear soil response with the tunnel’s structural shear deformation. Validation against a finite element model and two engineering cases confirmed the NPTM’s reliability. A key finding was that for wide excavations, soil nonlinearity dominated, and the deformation peak occurred at the excavation edge. Conversely, for narrow excavations, the tunnel’s structural shear behavior was more critical. Parametric analysis revealed deformation was highly sensitive to the pit–tunnel distance, d , and soil undrained shear strength, S u . Quantitatively, the benefit of increasing S u diminished significantly when S u exceeded 80 kPa. This suggests an economic threshold for ground improvement. Furthermore, deformation attenuated sharply when the pit–tunnel distance, d , exceeded 15 m. The model provides a practical, preliminary design tool for helping engineers to identify critical deformation zones and optimize protective measures.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Meng et al. (2026) studied this question.

synapsesocial.com/papers/69c4ccc9fdc3bde44891856chttps://doi.org/10.1177/03611981261422131
Ask AI
Helpful
Bookmark
Share
View Full Paper