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Record W4392773853 · doi:10.1038/s41598-024-54999-6

A look at the performance of barrel and wedge assembly in cable bolts applications

2024· article· en· W4392773853 on OpenAlexaff
Ashkan Rastegarmanesh, Ali Mirzaghorbanali, Kevin McDougall, Naj Aziz, Sina Anzanpour, Hadi Nourizadeh, Abbas Taheri

Bibliographic record

VenueScientific Reports · 2024
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsQueen's University
Fundersnot available
KeywordsWedge (geometry)Barrel (horology)Structural engineeringDeflection (physics)Materials scienceEngineeringComposite materialPhysicsMathematicsGeometry

Abstract

fetched live from OpenAlex

Pretensioning is one of the most common practices in cable bolting. A barrel and wedge is typically used in the free end of the cable to hold the pretension load. This study investigates the performance of barrel and wedge in cable bolt large-scale laboratory pull out tests. Twenty-five experiments have been completed containing various barrel and wedge and cable sizes under different loading conditions, namely monotonic and cyclic. The results indicated barrel and wedges undergo constant displacement throughout the experiment. The cyclic tests suggest that the barrel and wedge assembly displacement are almost entirely non-reversible. Two distinct behaviours, namely exponential and deflection point based, were observed. The study concludes that barrel and wedge assemblies can significantly influence the performance of cable bolts under axial load.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score0.196

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.006
GPT teacher head0.211
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations1
Published2024
Admission routes1
Has abstractyes

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