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Record W2072052041 · doi:10.1680/macr.2003.55.6.517

Effects of curing temperature on moisture distribution, drying and water absorption in self-compacting concrete

2003· article· en· W2072052041 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

VenueMagazine of Concrete Research · 2003
Typearticle
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsSorptivityCuring (chemistry)MoistureMaterials scienceDurabilityComposite materialAbsorption of waterWater contentPenetration (warfare)Geotechnical engineering

Abstract

fetched live from OpenAlex

Steam curing is normally used in the precast industry to increase the rate of strength development with the aim of reducing the cycle time and thereby increasing productivity. However, there is concern about the durability of steam cured concrete elements, which is mainly determined by the quality of the cover concrete. In an effort to evaluate the effectiveness of curing at 50°C for several hours in producing durable concrete, compared to moist curing at 23 and 38°C for seven days, the moisture distribution of drying self-compacting concrete containing 30% fly ash, as well as the moisture distribution in water uptake experiments were studied using magnetic resonance imaging. The results of drying indicated an increased moisture loss in the cover concrete when the specimens were cured at 50°C. The water uptake experiments showed a higher penetration of the water front, higher sorptivity, and higher moisture diffusivity of concrete cured at 50°C compared to concrete which was moist cured at 38°C.

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)0.002
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 score0.004
Threshold uncertainty score0.692

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.013
GPT teacher head0.271
Teacher spread0.258 · 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