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Microstructure and microanalysis of portland cement pastes with high w/c ratios

2024· article· en· W4399644785 on OpenAlexaff
Mahipal Kasaniya, M D Thomas, Ted Moffatt, Ashlee Hossack

Bibliographic record

VenueCement and Concrete Research · 2024
Typearticle
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsBecton Dickinson (Canada)University of New Brunswick
Fundersnot available
KeywordsPortland cementMicrostructureMicroanalysisMaterials scienceCementMetallurgyComposite materialMineralogyChemistry

Abstract

fetched live from OpenAlex

This study examines the influence of an increasing water-to-cement (w/c) ratio on the hydration mechanism of portland cement. Portland cement pastes at three w/c ratios of 0.5, 0.8 and 1.2 were prepared and cured in hermetically sealed vials at 40 °C for 14 days. Compressive strength, bulk electrical resistivity and bound water measurements were conducted. Thermogravimetric analysis was performed on hydrated pastes. Hydrated microstructures of fractured surfaces of dried pastes representing the extreme w/c ratios of 0.5 and 1.2 were investigated using scanning electron microscopy for morphology and energy dispersive X-ray spectroscopy for chemical composition and elemental mapping of hydration products. The results indicate that an increase in the w/c ratio benefits the hydration of portland cement; however, the advantageous magnitude is limited beyond a certain w/c ratio. The microstructural characteristics of pastes and the types of hydration products formed are highly governed by the w/c ratio. The effects of w/c ratio on the morphology and composition of hydration products, particularly calcium silicate hydrate and calcium hydroxide, 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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.616

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)0.0010.000

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 head0.018
GPT teacher head0.272
Teacher spread0.253 · 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

Citations35
Published2024
Admission routes1
Has abstractyes

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