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Record W3184792481 · doi:10.56748/ejse.14182

Shear Response of SFRC Beams Constructed with SCC and Steel Fibers

2014· article· en· W3184792481 on OpenAlex

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

VenueElectronic Journal of Structural Engineering · 2014
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsStructural engineeringShear (geology)Materials scienceDeflection (physics)Flexural strengthFiber-reinforced concreteReinforced concreteComposite materialEngineering

Abstract

fetched live from OpenAlex

This paper presents the experimental results from eleven slender beams constructed with highly workable SFRC tested under four-point loading. In the study self-consolidating concrete (SCC) was combined with steel fibers to improve workability and concrete placement. The response of the beams in terms of shear versus deflection response, crack control and damage tolerance is reported. The results demonstrate that the combined use of SCC and steel fibers in shear-deficient beams results in significant improvements in shear resistance and enhancements in flexural ductility. In the second part of the paper a model is proposed for predicting the shear capacity of SFRC beams. The proposed model and various equations proposed in the literature are used to predict the shear capacity of the beams tested in the experimental program. The results demonstrate the need for developing accurate and reliable equations for predicting the shear capacity of SFRC beams constructed with SCC and steel fibers.

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)0.000
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 score0.119
Threshold uncertainty score0.931

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 integrity0.0000.001
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 head0.002
GPT teacher head0.174
Teacher spread0.171 · 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