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Record W4407874166 · doi:10.1016/j.ghm.2025.02.003

Induced mechanism of tunnel rockbursts based on dynamic buckling of rock plates

2025· article· en· W4407874166 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGeohazard Mechanics · 2025
Typearticle
Languageen
FieldEngineering
TopicGeotechnical and Geomechanical Engineering
Canadian institutionsLakehead University
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsBucklingMechanism (biology)Materials scienceStructural engineeringComposite materialGeologyGeotechnical engineeringEngineeringPhysics

Abstract

fetched live from OpenAlex

Rockburst, characterized by a sudden and violent rock failure resulting in the expulsion of rock from its surroundings, poses a significant threat to the safety of tunnel excavation operations, often causing property damage and injuries to workers. Buckling has been identified as a critical mechanism leading to rockbursts. Seismic events or blasting can induce rockbursts when stress waves reach the free surface of underground openings. This paper aims to investigate the induced mechanism of tunnel rockbursts based on the dynamic buckling of rectangular rock plates. As a rock stress wave approaches a tunnel sidewall, it decomposes into perpendicular and parallel component loads relative to the free surface. The perpendicular stress reflects off the free surface, forming a rectangular thin plate of rock. The parallel stress triggers parametric resonance in the plate, resulting in a tunnel rockburst. An illustrative example of tunnel sidewall rockbursts in Jinping II hydropower project, China, is provided to study the effects of stress wave amplitude and frequency, static and dynamic components, rock damping, multiple frequencies, and vibration modes. Based on this mechanism analysis, recommendations are proposed to mitigate the risk of tunnel rockbursts. The research offers a plausible explanation for the heightened frequency and severity of rockbursts in Tunnel Boring Machine tunnels compared to New Austrian Tunneling Method tunnels at the Jinping II project for the first time.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.937
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.005
GPT teacher head0.199
Teacher spread0.194 · 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