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Record W4235446791 · doi:10.32920/ryerson.14644125

Shear and flexural behaviour of lightweight self-consolidating concrete beams

2021· preprint· en· W4235446791 on OpenAlexafffundabout
Kokilan Sathiyamoorthy

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicInnovative concrete reinforcement materials
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsShear (geology)Materials scienceFlexural strengthComposite materialCrackingSelf-consolidating concreteReinforced concreteShear strength (soil)Structural engineeringGeotechnical engineeringCompressive strengthGeologyEngineering

Abstract

fetched live from OpenAlex

Shear and flexural behaviour of lightweight self-consolidating concrete (LWSCC) beams made of slag aggregates were investigated. Shear reinforced LWSCC beams showed similar shear behaviour compared to their non-shear reinforced counterparts until the formation of diagonal cracks but higher ultimate shear resistance and ductility. Compared to normal weight self-consolidating concrete (SCC) ones, non-shear reinforced LWSCC beams showed lower post-cracking shear resistance. Shear strength of LWSCC/SCC beams increased with the decrease of shear span to depth ratio. LWSCC beams showed higher number of cracks and wider crack width at failure than their SCC counterparts. LWSCC beams developed higher number of cracks with wider crack width at failure compared with their SCC counterparts. American, Canadian and British Codes were conservative in predicting shear strength of shear/non-shear reinforced LWSCC beams. LWSCC beams (with slag aggregate) showed good shear resistance compared with those made of other types of aggregates besides satisfactory flexural performance.

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 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 categoriesMeta-epidemiology (narrow)
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 score0.026
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.013
GPT teacher head0.233
Teacher spread0.221 · 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 teacher head, not a consensus.

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

Citations9
Published2021
Admission routes3
Has abstractyes

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