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Record W2623877224 · doi:10.1139/cjce-2016-0449

Correlation between the porosity and ultrasonic pulse velocity of recycled aggregate concrete at different saturation levels

2017· article· en· W2623877224 on OpenAlexvenueno aff
Kahina Haddad, Ourdia Haddad, Salima Aggoun, Salah Kaci

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicRecycled Aggregate Concrete Performance
Canadian institutionsnot available
Fundersnot available
KeywordsPorositySaturation (graph theory)Materials scienceUltrasonic sensorWater saturationAggregate (composite)Composite materialDegree of saturationGeotechnical engineeringEnvironmental scienceSoil scienceGeologyAcousticsMathematics

Abstract

fetched live from OpenAlex

In this work, an ultrasonic technique was developed to study the porosity and pore connectivity of recycled aggregate concretes (RACs) and to elucidate the correlations between the ultrasonic pulse velocity (UPV), recycled concrete aggregate (RCA) content, and water-accessible porosity of the resulting concrete. To estimate the changes in the degree of connectivity of the concrete pores with the amount of RCA substituted, the concrete specimens were examined at different saturation levels. The correlations between the amounts of RCA used, the UPV, and the saturation state could be determined. It was observed that the pore connectivity of the concretes increased with the amount of RCA substituted, which, in turn, increased their open porosity. These findings may facilitate the use of UPV for the estimation of open porosities of RACs at different saturation levels.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.197
Teacher spread0.184 · 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

Citations24
Published2017
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Civil EngineeringSame topicRecycled Aggregate Concrete PerformanceFrench-language works237,207