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Record W2789240892 · doi:10.1002/maco.201709942

Corrosion resistance of chromium‐steel and stainless steel reinforcement in concrete

2018· article· en· W2789240892 on OpenAlexafffund
Andrew Fahim, Alyson E. Dean, M D Thomas, Edward G. Moffatt

Bibliographic record

VenueMaterials and Corrosion · 2018
Typearticle
Languageen
FieldEngineering
TopicConcrete Corrosion and Durability
Canadian institutionsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceCorrosionMetallurgyChromiumReinforcementMortarService lifeAlloyComposite material

Abstract

fetched live from OpenAlex

This paper presents results of a study conducted to determine the corrosion‐resistance of chromium‐steel (ASTM A1035 steel) and several stainless steel grades (316LN, 304, 2205, and XM‐28), as concrete reinforcements. The study included laboratory experiments investigating the reinforcements’ performance in a concrete pore solution containing chlorides, with and without wetting and drying cycles, as well as in cases of cracked and uncracked concretes exposed to chlorides. The study also included field‐exposure experiments, where reinforced mortar bars and bare bars were exposed to a marine tidal environment. Results indicated that the service‐life enhancement provided by these reinforcements was highly dependent on their alloy composition. ASTM A1035 steel was found to be less corrosion‐resistant than all stainless steel grades, due to the lower alloy contents. XM‐28 was also found to have a substantially lower corrosion resistance compared to other stainless steels, due to the incorporation of manganese, coupled with the lower nickel content. Finally, 304, 316LN, and 2205 reinforcements showed no signs of corrosion onset in all experiments, even in cases of cracked concrete.

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 score0.020
Threshold uncertainty score0.661

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 head0.010
GPT teacher head0.215
Teacher spread0.205 · 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

Citations44
Published2018
Admission routes2
Has abstractyes

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