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An ASR exposure site after 30 years – Chemical composition of hydrates and ASR products

2025· article· en· W4414654343 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCement and Concrete Research · 2025
Typearticle
Languageen
FieldMaterials Science
TopicGraphite, nuclear technology, radiation studies
Canadian institutionsGeological Survey of Canada
FundersNational Research Council CanadaHydro-QuébecFonds de recherche du QuébecUniversité de SherbrookeUniversité Laval
KeywordsCementitiousChemical compositionAggregate (composite)Alkali–aggregate reactionRange (aeronautics)

Abstract

fetched live from OpenAlex

Concrete specimens containing two aggregates susceptible to alkali-silica reaction (ASR) and various supplementary cementitious materials (SCMs) have been exposed outdoors since 1992. After 30 years of expansion monitoring, some specimens were cored to conduct an in-depth analysis of their condition. The chemical compositions of the hydrates and the ASR products were quantified with SEM-EDS. All SCMs increased the Si/Ca of the C-(A)-S-H, but the extent varied depending on their composition, amount and degree of reaction. Larger amounts of SCMs resulted in lower degrees of reaction. The ASR products inside aggregate particles of non-boosted concrete mixtures were crystalline. Their Ca/Si was in the range 0.21–0.24, independent of the binder and the aggregate types. The (Na + K)/Ca was usually in the range 0.31–0.35. The Na/K varied more, correlating with the respective ratios in the binder. The Al content of the ASR products inside aggregate particles was not influenced by the presence of Al-rich SCMs.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.265

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 studies0.0000.001
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 head0.022
GPT teacher head0.314
Teacher spread0.292 · 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