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Record W2271188602 · doi:10.14288/1.0081185

Instrumentation of the shotcrete lining in the Canadian National Railways Tunnel, Vancouver, B.C.

2011· article· en· W2271188602 on OpenAlexaboutno aff
Robert E. Mason

Bibliographic record

VenuecIRcle (University of British Columbia) · 2011
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsnot available
Fundersnot available
KeywordsShotcreteForensic engineeringInstrumentation (computer programming)EngineeringGeologyCivil engineeringComputer science

Abstract

fetched live from OpenAlex

The Canadian National Railways Tunnel in Vancouver, B. C. is the first tunnel in North America to be driven with a temporary and permanent support system of coarse-aggregate shotcrete in lieu of steel arch sets and formed concrete. In order to determine the function of the shotcrete lining and to aid in the decision to use the lining as a permanent lining, an instrumentation program was undertaken. Surface photoelastic strain gauges and imbedded hydraulic pressure cells were used to determine in situ stresses and strains. The measurements show that the lining has achieved a relative equilibrium level at three representative measurement points, and that nowhere have the measured stresses and strains been excessive, nor have they even approached allowable design values. The function of the shotcrete lining as a support system has been shown to differ from that attained by steel arch supports. The use of shotcrete for support of the Canadian National Railways tunnel resulted in considerable economic savings.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score0.801

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.154
Teacher spread0.144 · 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 designObservational
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
Published2011
Admission routes1
Has abstractyes

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Same venuecIRcle (University of British Columbia)Same topicGeotechnical Engineering and Underground StructuresFrench-language works237,207