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Record W4409821298 · doi:10.1080/23248378.2025.2496354

Rethinking tunnel-soil relative stiffness: insights from interactions between tunnels and strata subjected to ground surcharge

2025· article· en· W4409821298 on OpenAlex
Shunhua Zhou, Zhiyao Tian, Qiyu Yao

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Rail Transportation · 2025
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsMcMaster University
FundersNational Natural Science Foundation of China
KeywordsGeotechnical engineeringStiffnessGeologyEngineeringStructural engineering

Abstract

fetched live from OpenAlex

The stiffness difference between tunnels and surrounding strata can lead to relative deformations when subjected to factors such as ground surcharge, significantly influencing the earth pressure on tunnel linings. To address this, the concept of tunnel-soil relative stiffness has been introduced to evaluate these pressures. Existing methods, however, often treat tunnels and surrounding strata as independent entities, thus overlooking their complex interactions. Drawing insights from a recorded experiment, this paper redefines tunnel-soil relative stiffness, now conceptualized as the ratio of natural ground deformation to tunnel deformation subsequent to their interactions. Based on this definition, an analytical formula is derived to calculate the defined relative stiffness. A numerical case study is subsequently conducted to verify and evaluate the effectiveness of the proposed methods. It is found that traditional methods lead to a notable underestimation of tunnel-soil relative stiffness and consequently, the earth pressures on the tunnel linings; in contrast, the proposed method exhibits relatively better accuracy. The intrinsic physical reasons for the enhanced accuracy of the proposed method are discussed. Finally, leveraging the proposed method, insights on enhancing the load-bearing performance of tunnel linings in soft soils are presented, which may provide a valuable reference for the design and maintenance of tunnel linings in soft soil regions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.920
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.244
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it