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Record W2032316892 · doi:10.1680/macr.2008.60.3.205

Estimating volume fraction of bound water in Portland cement concrete during hydration based on dielectric constant measurement

2008· article· en· W2032316892 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 · 2008
Typearticle
Languageen
FieldEngineering
TopicGeophysical Methods and Applications
Canadian institutionsASL Environmental Sciences (Canada)
Fundersnot available
KeywordsDielectricBound waterReflectometryMaterials scienceVolume fractionPortland cementCementVolume (thermodynamics)Composite materialMixing (physics)Water contentDielectric lossConstant (computer programming)MineralogyFraction (chemistry)Water–cement ratioAnalytical Chemistry (journal)ThermodynamicsChemistryTime domainGeotechnical engineeringGeologyChromatographyMoleculeOrganic chemistry

Abstract

fetched live from OpenAlex

A study was conducted to estimate the volume fraction of bound water in Portland cement concrete (PCC) during hydration by monitoring changes of its dielectric constant using time–domain reflectometry (TDR). The travel time of an electrical pulse along the embedded probe was measured and the apparent dielectric constant K of PCC was determined. The experiment lasted for 206 days. The results showed that the decrease in dielectric constant was fast immediately after mixing with water. At day 28 the decrease was still significant. Only after 180 days did the decline become negligible. The decrease of K during hydration is the result of the transform of free water to bound water. Based on the dielectric mixing model, the dielectric constant of bound water (K b ) and its volume fraction at a different stage of hydration were estimated. TDR is a promising powerful tool to study small changes in dielectric properties of PCC during hydration.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.053
GPT teacher head0.305
Teacher spread0.252 · 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