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Record W2345743141 · doi:10.1139/cjce-2015-0355

Predicting the behaviour of storage cells in early Condeep structures

2016· article· en· W2345743141 on OpenAlexafffundvenue
Amr I.I. Helmy, Michael P. Collins

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2016
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsStructural engineeringFinite element methodNonlinear systemGeotechnical engineeringCompression (physics)Shear (geology)Shear stressMaterials scienceGeologyStress (linguistics)EngineeringComposite materialPhysics

Abstract

fetched live from OpenAlex

RASP, also now called VecTor6, is a nonlinear finite element program for the analysis of reinforced concrete structures that uses 3-dimensional stress–strain relation of cracked concrete based on the modified compression field theory. RASP was used to predict the behavior of a 3-dimensional 1:13 scale model of a typical upper dome-cell wall junction of a storage cell in an early Condeep structure. It predicted a flexure-shear failure at the top of the cell wall when it was subjected to a pressure differential equivalent to 129–134 m head of water. Yet, there was deviation between the theoretical and the observed response of the model since the analysis ignored the detrimental effect of water pressure in the cracks. Before applying the results of the pressure test on the scale model to the prototype structure the size effect in shear was examined. It was concluded that because the failure was triggered by flexural yielding the size effect in shear was not significant for this case.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.174
Teacher spread0.168 · 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

Citations3
Published2016
Admission routes3
Has abstractyes

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Same venueCanadian Journal of Civil EngineeringSame topicStructural Behavior of Reinforced ConcreteFrench-language works237,207