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Record W4405225303 · doi:10.1139/cgj-2024-0201

Experimental study on multi-parameter performance differences of coal with different rockburst tendencies

2024· article· en· W4405225303 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Geotechnical Journal · 2024
Typearticle
Languageen
FieldEngineering
TopicGeomechanics and Mining Engineering
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsGeotechnical engineeringCoalGeologyMining engineeringCoal miningForensic engineeringEnvironmental scienceEngineeringWaste management

Abstract

fetched live from OpenAlex

Addressing the difficult issue of precursor damage warning signs for the destruction of coal with different rockburst tendency, this paper conducted research on the multi-parameter evolution laws by acoustic-thermal-energy synchronization experiments. The results show that as rockburst tendency increases, uniaxial compressive strength (UCS), elastic strain energy density, energy ringing count, cumulative energy counts, and acoustic emission (AE) impact intensity all increase significantly; the post-peak stress–strain curve is gradually steeper and the impact damage is more severe than that because the denser structure accumulates more elastic energy, causing severe impact damage; moreover, the damage form gradually changes from shear to split damage, triggering the infrared radiation temperature changing from warming to cooling type. Disaster precursor signatures appear in each covariate, respectively, and a calm zone appears in the energy ringing counts of coal specimens with weak and strong rockburst tendency; as rockburst tendency increases, the b-value precursor signature points fall behind, being 87%, 95.3%, and 97.9% of the UCS, respectively; correspondingly, a calm period appears in the infrared radiant temperature, but lags behind the signals of AE and the UCS. There are differences in homologous monitoring information, mainly due to the different densification, strength, and damage form. This paper lays a foundation for rockburst prevention and control.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.530

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 communication0.0000.000
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 head0.020
GPT teacher head0.217
Teacher spread0.197 · 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