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Record W2122251941 · doi:10.1520/cca10477j

Development of Performance Tests for Sulfate Attack on Cementitious Systems

2000· article· en· W2122251941 on OpenAlexaff
R W Day

Bibliographic record

VenueCement Concrete and Aggregates · 2000
Typearticle
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsEttringiteCementitiousSulfateAlkali–aggregate reactionAggregate (composite)Computer scienceCircumstantial evidenceMicrostructureForensic engineeringEnvironmental scienceBiochemical engineeringCementMaterials scienceEngineeringNanotechnologyComposite materialMetallurgy

Abstract

fetched live from OpenAlex

Abstract Delayed ettringite formation (DEF) is only one of a number of chemical and physical attack mechanisms related to the presence of sulfur-based compounds existing within the microstructure of concrete. Identification of the various “sulfate” attack mechanisms, both internal and external, is important to guide the development of appropriate performance-based test methods. Such test methods must also recognize and account for the fact that real deterioration processes in concrete often involve a combination of mechanisms; sulfate attack, for example, is often found in combination with other attack mechanisms, such as alkali-aggregate reaction or freezing and thawing. Thus, future tests or suites of tests should be designed to account for acceleration of deterioration that results from the synergy between attack mechanisms. It is suggested that a holistic approach—similar to that proposed by Mehta—whereby the effect of (a) combinations of raw materials and (b) combinations of environmental influences should play a central role in the development of new standards. In this paper, an engineering view of the various mechanisms of sulfate attack is provided. Sulfate-attack mechanisms are categorized and major influences upon these mechanisms are briefly reviewed. The suitability of two key tests related to sulfate attack is examined—ASTM methods C 1012 and C 1038. Available data concerning test method C 1038 are analyzed. Because of the lack of confidence that C 1038 is an adequate performance test, reliance upon prescriptive limits for sulfate and aluminate contents and their relative proportions is currently a better approach to ensure adequate performance of cementitious systems in practice.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.640

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.038
GPT teacher head0.265
Teacher spread0.227 · 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

Citations7
Published2000
Admission routes1
Has abstractyes

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