MétaCan
Menu
Back to cohort
Record W2005150998 · doi:10.1680/macr.11.00164

Heat damage of steam curing on the surface layer of concrete

2012· article· en· W2005150998 on OpenAlexaff
Guangcheng Long, Zhimin He, Ahmed Omran

Bibliographic record

VenueMagazine of Concrete Research · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicBuilding materials and conservation
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsMaterials scienceComposite materialCuring (chemistry)SorptivityMoistureSurface layerCementLayer (electronics)

Abstract

fetched live from OpenAlex

In practice, the quality of concrete cover and the homogeneity of concrete are very important factors for the performance of structural concrete elements. Thus a series of experiments is carried out to investigate the excessive heat-damage effect of steam curing on the exposed surface layer of concrete in this study. Measures to prevent heat damage are also proposed. Results indicate that, due to the heat-damage effect caused by elevated temperature, there is a larger gradient distribution in the pore structure and water sorptivity between the exposed surface and the interior of the steam-cured concrete compared to normal-cured concrete. Using a moisture fabric sheet can effectively reduce such damage. The heating effect at elevated temperatures during the steam curing period results in excessive deformation of the exposed surface layer of concrete and thus more damage of the microstructure for the exposure surface than for the interior of the concrete.

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 score0.006

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 head0.096
GPT teacher head0.315
Teacher spread0.220 · 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

Citations68
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueMagazine of Concrete ResearchSame topicBuilding materials and conservationFrench-language works237,207