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Record W2161088715 · doi:10.1680/adcr.2007.19.1.1

Thermal decomposition of nanoparticulate Ca(OH)<sub>2</sub>-anomalous effects

2007· article· en· W2161088715 on OpenAlexaff
Taijiro Sato, J.J. Beaudoin, V.S. Ramachandran, Laura Mitchell, Peter J. Tumidajski

Bibliographic record

VenueAdvances in Cement Research · 2007
Typearticle
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsGeorge Brown CollegeNational Research Council Canada
Fundersnot available
KeywordsCrystallinityCarbonationDissolutionThermal decompositionThermogravimetric analysisMaterials scienceDecompositionDistilled waterMineralogyCementChemical engineeringChemistryComposite materialPhysical chemistryOrganic chemistryChromatography

Abstract

fetched live from OpenAlex

The degree of crystallinity and particle size of Ca(OH) 2 inclusions in a hydrated cement matrix influence their rate of dissolution in aggressive media such as distilled water. Durability of cement-based systems (e.g. resistance to leaching and carbonation) is generally dependent on the dissolution characteristics of the products – a process leading to increased permeability and porosity. Relevant features of nano-scale Ca(OH) 2 particles are explored using thermal analysis. Different forms of Ca(OH) 2 with varying degrees of crystallinity and surface area were prepared using Ca(OH) 2 and CaCO 3 as starting materials. They were decomposed and the hydrated CaO formed at different conditions. The nitrogen surface area values of Ca(OH) 2 ranged from 3.7 to 31.1m 2 /g. The presence of two separate and distinct thermal decomposition events (in derivative form of thermogravimetric analysis results) was observed, depending on the degree of crystallinity. Endotherms occurred at temperatures of about 426°C and 454°C. Binary mixtures of Ca(OH) 2 with substantially different degrees of crystallinity exhibited a well-defined thermal decomposition doublet. The height of each endotherm peak was dependent on the mass proportions of each mixture component. Factors, including thermodynamic considerations, affecting the character of the decomposition behaviour of Ca(OH) 2 are discussed.

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)0.002
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 score0.049
Threshold uncertainty score0.563

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.015
GPT teacher head0.339
Teacher spread0.324 · 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 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

Citations28
Published2007
Admission routes1
Has abstractyes

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