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Record W2045245560 · doi:10.1520/cca11928

Measured Internal Temperatures in Concrete Exposed to Outdoor Cyclic Freezing

2004· article· en· W2045245560 on OpenAlexaffabout
Michelle Nokken, R.D. Hooton, CA Rogers

Bibliographic record

VenueCement Concrete and Aggregates · 2004
Typearticle
Languageen
FieldEngineering
TopicConcrete Properties and Behavior
Canadian institutionsMinistry of Transportation of OntarioUniversity of Toronto
Fundersnot available
KeywordsThermocoupleSlabMaterials scienceEnvironmental scienceGeotechnical engineeringComposite materialGeology

Abstract

fetched live from OpenAlex

Abstract In this paper, temperature data collected by thermocouples embedded into concrete over a period of 10 years are analyzed for a concrete slab and beam located outdoors near Kingston, Ontario. Temperatures measured in the concrete are compared with temperatures encountered in ASTM C 666 Resistance of Concrete to Rapid Freezing and Thawing and ASTM C 1293 Standard Test Method for Concrete Aggregates by Determination of Length Change of Concrete Due to Alkali-Silica Reaction. The average number of freezing and thawing cycles at the site was counted using different freezing and thawing temperature criteria as presented in the literature by various authors. Results are compared with data from a second site. The rates of freezing and thawing occurring at the outdoor exposure site were found to be significantly less than specified in the ASTM C 666 laboratory test. Average daily maximum temperatures in July were at approximately 33°C at depths of 50 mm in 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.077

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)0.0010.000

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 head0.016
GPT teacher head0.213
Teacher spread0.197 · 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 designObservational
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

Citations11
Published2004
Admission routes2
Has abstractyes

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