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Record W1974947692 · doi:10.1680/macr.2002.54.1.13

Punching shear of slabs: crack size and size effects

2002· article· en· W1974947692 on OpenAlex
H. Marzouk, Mostafa A. Osman, A. Hussein

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMagazine of Concrete Research · 2002
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPunchingSlabStructural engineeringFlexural strengthUltimate tensile strengthMaterials scienceFracture mechanicsFracture (geology)Aggregate (composite)Shear (geology)MechanicsComposite materialEngineering

Abstract

fetched live from OpenAlex

Fictitious crack model assumptions and equilibrium equations were used to develop a numerical model in order to predict the punching load and the deformations of reinforced concrete slabs. Concrete strength, aggregate type, reinforcement ratio as well as the fracture strength properties were taken into account in developing the new model. In spite of the low tensile strength of concrete, it has considerable fracture energy, therefore the fracture process zone in front of a growing crack can contribute to the flexural concrete strength. The proposed model adopted the fictitious crack model principles. The three equilibrium equations were used on a radial segment of the slab and the effect of crack size and size effect were incorporated in the formulation. The model results were compared with the experimental results and currently available shear design formulae to investigate the effect of the fracture properties on the predicted punching load. The model provided consistent and improved results compared to the existing codes.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.047
Threshold uncertainty score0.882

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.026
GPT teacher head0.282
Teacher spread0.256 · 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