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Record W7026706364

Alkali thresholds in concrete; the balanced alkali approach in ASR mitigation

2022· other· en· W7026706364 on OpenAlexaboutno aff

Bibliographic record

VenueUTS ePRESS (University of Technology Sydney) · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPortland cementAlkali metalCementAlkali–aggregate reactionAlkali–silica reaction
DOInot available

Abstract

fetched live from OpenAlex

The Alkali Silica Reaction (ASR) is a deleterious reaction in concrete that poses significant durability\nconcern worldwide. As a preventative measure, total alkali content of general purpose Portland cements\ncan be limited. In Australia, like in other countries, general purpose cement is limited with a conservative\nalkali content of 0.6%, this may be unnecessary, as low risk non-reactive aggregates and SCM blends\nare effective in reducing ASR prevalence. Indeed there is a growing argument to transition to risk\nassessed methods in choosing cement alkali levels. ASTM in the USA has employed a prescriptive\napproach to selecting preventative measures that incorporates a variety of cement alkali contents\nwithout compromising on safety. Similar balanced alkali approaches such as those recommended in\nEurope, Canada and New Zealand may be applicable in Australia. Raising alkali limits to a level greater\nthan 0.6% in cement used in conjunction with alternative mitigation techniques would reduce the\neconomic and environmental impact associated with alkali removal during cement production. This\nliterature review discusses the Australian approach to alkali limits in contrast to the methods used\naround the world and explores the continuing research into alkali’s mechanistic contribution to ASR.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.664
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.207
Teacher spread0.198 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2022
Admission routes1
Has abstractyes

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