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Record W4252784773 · doi:10.32920/14639547.v1

Behavior of reinforced high and ultra high strength concrete beams

2021· preprint· en· W4252784773 on OpenAlexaff
Shahid Mohammad. Neaz

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMaterials scienceFlexural strengthStructural engineeringBeam (structure)StiffnessShear (geology)Deflection (physics)Compressive strengthComposite materialReinforced concreteEngineeringOptics

Abstract

fetched live from OpenAlex

Load-deflection behaviour of reinforced beams with high strength concrete (HSC) and ultra high strength concrete (UHSC) were studied based on experimental investigations. Four concretes including one HSC and three UHSC were considered for construction of beam specimens. Two different cross-sections of reinforced beams namely Type A and Type B were considered for testing under single point loading. In addition, three sets of Type B beam were tested with three different shear span to depth ratio (a/d) for each concrete mix. The test results confirmed that flexural strength of fibre reinforced concrete increases with the increase of compressive strength of concrete and the initial stiffness of UHSC are very high compared to HSC. It was observed that Type B beam with a/d ratio less than 2 show the pattern of shear failure. As such, a theoretical model was studied to verify the performance and the shear load capacity of beams.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 integrity0.0000.000
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 head0.010
GPT teacher head0.219
Teacher spread0.210 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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