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Record W4401479260 · doi:10.56952/arma-2024-0551

Numerical Analysis of Induced Mechanism of Rockbursts in Tunnels

2024· article· en· W4401479260 on OpenAlexaff
Jian Deng, S. Li

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeotechnical and Geomechanical Engineering
Canadian institutionsLakehead University
Fundersnot available
KeywordsMechanism (biology)GeologyNumerical analysisNumerical modelsComputer scienceMechanicsNumerical modelingGeophysicsPhysicsMathematics

Abstract

fetched live from OpenAlex

ABSTRACT: Rockburst is a sudden and violent failure characterized by the breaking up and expulsion of rock from its surroundings. Tunnel rockbursts pose a significant threat to the safety of excavation operations, leading to property damage and tunneler casualties. Buckling has been identified as one of the primary mechanisms causing rockbursts. Furthermore, it has been observed that rockburst can be induced by a seismic event or ambient blasting when stress waves reach the free surface of the underground opening. This paper aims to study numerically the induced mechanism of tunnel rockbursts based on the dynamic buckling of rectangular thin plates. When a rock stress wave travels toward a tunnel sidewall, it decomposes into horizontal and vertical components. The horizontal stress propagates to and reflects from the free surface, creating a rectangular thin plate of rock on the surface. The vertical stress activates parametric resonance in the rectangular thin plate, leading to the induction of a tunnel rockburst. An example of tunnel sidewall rockbursts from the Jinping II project is presented to parametrically study the effect of stress wave amplitude and frequency, static and dynamic components. Based on the mechanism analysis, measures are proposed to alleviate the hazard of tunnel rockbursts. 1. INTRODUCTION Horizontal extended underground structures can be categorized based on the purpose of the completed structure into two types: (i) Tunnels: Extended, flat, or only slightly sloping underground cavities with excavated cross-sections exceeding 20 m2. Primarily designed for road or rail transport, each tunnel features two openings to the surface. However, in some hydropower projects such as Jinping I and II in China, there are tunnels that have only one opening to the surface due to harsh conditions. (ii) Adits, drifts, or galleries: Extended underground cavities, either horizontal or sloping at angles less than 25° to the horizontal, with relatively small diameters. These structures accommodate pipes or cables, provide access, and serve as auxiliary structures during the construction phase or for permanent use. Often, they have only one opening to the surface (Maidl et al, 2013). The present paper is concerned with rockbursts in either tunnels, adits, drifts, or galleries.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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