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Record W1860928743 · doi:10.3968/6301

Experimental Study on the Anisotropy of the Tensile and Shearing Strength of Coal Rock

2015· article· en· W1860928743 on OpenAlexvenueno aff
Cui Yueming, Yuwei Li

Bibliographic record

VenueAdvances in petroleum exploration and development · 2015
Typearticle
Languageen
FieldEngineering
TopicCoal Properties and Utilization
Canadian institutionsnot available
Fundersnot available
KeywordsShearing (physics)Ultimate tensile strengthBeddingCoalAnisotropyGeotechnical engineeringMaterials scienceCompressive strengthComposite materialGeologyEngineering

Abstract

fetched live from OpenAlex

The tensile and shearing strength of coal rock accurately obtained by test can provide important parameters for the design of coal seam fracturing and mine support system. Due to coal bedding and cleat developed, the experimental results will exist voluminous discreteness and can’t accurate determine the tensile and shearing strength, ignoring the influence of loading direction and bedding and cleat development direction, In this paper, the tensile and shearing strength is measured by laboratory experiment, counting and analyzing divergence of different direction according to experimental results, obtaining the relationship between the tensile and shearing strength and the bedding and cleat development direction. This research confirms that the tensile and shearing strength of coal rock exists the characteristic of anisotropy and it should not only take the average value of the test results of different direction simply in engineering application. On the other hand, it can supply experimental consideration and method to confirm the tensile and shearing strength required by the relevant construction design. Key words: Coal rock; Tensile strength; Shearing strength; Anisotropy

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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score0.151

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 head0.038
GPT teacher head0.250
Teacher spread0.212 · 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 teacher head, 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

Citations2
Published2015
Admission routes1
Has abstractyes

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