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Magnetic Resonance In Situ Study of Tricalcium Aluminate Hydration in the Presence of Gypsum

2006· article· en· W2110140629 on OpenAlexafffund
R. Holly, H. Peemoeller, M. Zhang, Eric J. Reardon, C.M. Hansson

Bibliographic record

VenueJournal of the American Ceramic Society · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNMR spectroscopy and applications
Canadian institutionsUniversity of Waterloo
FundersGovernment of Ontario
KeywordsEttringiteGypsumAluminateScanning electron microscopeIonic bondingChemistryCementRelaxation (psychology)Chemical engineeringMineralogyInorganic chemistryMaterials scienceIonPortland cementComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

The hydration of tricalcium aluminate, in the presence of gypsum, is investigated using in situ “real‐time” 1 H NMR spin–spin relaxation, X‐ray diffraction, and scanning electron microscope experiments. Aside from rapid ettringite formation within the first 45 min, it is shown that a re‐distribution of water within the first 2 h contributes significantly to the retardation of the rate of hydration. From the 1 H NMR component with T 2 of approximately 20 μs, the continual disappearance of ettringite and the production of the layered monosulfate structure is monitored. In addition, the technique makes possible the monitoring of the change in the quantity of interlayer water in monosulfate, as well as the time scale associated with the decrease in the effective interlayer spacing, resulting from the ionic substitution of SO 4 2− for OH − . The ionic substitution within monosulfate starts after approximately 9 h. Although it has been believed that the time scale for this reaction is fast, we have shown that it can take days to reach completion.

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 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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.200

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.299
Teacher spread0.291 · 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 teacher head, 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

Citations26
Published2006
Admission routes2
Has abstractyes

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