PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 28, 2026Scientific Reports0 citationsOpen Access

Bearing capacity of inclined-loaded footings above dual tunnels in rock masses

YHYuda HuangXKXingyu KangDDDonghong Dai

Key Points

  • This study aims to evaluate the bearing capacity of footings situated above dual tunnels in rock masses influenced by varying parameters.
  • Utilized finite element limit analysis (FELA) with adaptive mesh refinement for accurate results.
  • Investigated parameters such as tunnel depth ratio, spacing ratio, geological strength index, and intact rock constant.
  • Developed a deep learning-based algorithm to create an interpretable predictive formula from simulation data.
  • Identified a critical angle threshold impacting failure mechanisms, ranging from arctan(0.4) to arctan(0.5).
  • Narrow pillar spacings (S/D = 1) lead to a high risk of catastrophic failure, while dual-tunnel impacts diminish at S/D ≥ 4.
  • Achieved accurate bearing capacity predictions with less than 3% error margin using the formulated predictive model.

Abstract

The escalating utilization of urban underground space frequently necessitates the construction of surface structures in close proximity to subterranean tunnels. This study investigates the bearing capacity of rigid strip footings above dual square tunnels in Hoek–Brown rock masses under inclined loading. Utilizing rigorous Finite Element Limit Analysis (FELA) with adaptive mesh refinement, the true ultimate bearing capacity is bracketed with a strict upper and lower bound error margin of less than 3%. The analysis systematically quantifies the influence of key parameters across extensive ranges: tunnel depth ratio (H/D ∈ 1.5, 3.0), spacing ratio (S/D ∈ 1, 6, Geological Strength Index (GSI ∈ 50, 100), and intact rock constant (mi = 7, 10, 15, 17, 25). A pivotal contribution is the precise identification of a load “critical angle” threshold, ranging from arctan(0.4) to arctan(0.5) depending on the tunnel depth. Below this angle, the failure mechanism is a deep-seated, tunnel-coupled mode; beyond it, the system transitions abruptly to a shallow, surface-controlled sliding failure where the tunnels have negligible impact. Furthermore, the study establishes quantitative engineering guidelines: narrow pillar spacings (S/D = 1) pose an extreme risk of catastrophic failure, whereas dual-tunnel interaction becomes negligible at S/D ≥ 4. Crucially, to bridge the gap between theoretical numerical analysis and practical application, a deep learning-based algorithm was employed to distill the extensive simulation dataset into an explicit, highly accurate, and interpretable predictive formula. Incorporating all investigated variables, this intelligent formula-alongside the comprehensive dimensionless failure envelopes-equips geotechnical engineers with a robust tool for rapid stability evaluations and design optimization.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Huang et al. (2026) studied this question.

synapsesocial.com/papers/6a17db4d3fad632b0f9d80dbhttps://doi.org/10.1038/s41598-026-54298-2
Ask AI
Helpful
Bookmark
Share
View Full Paper