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Record W4385982342 · doi:10.5539/jmsr.v12n2p88

Correlation of Accelerated Corrosion and Real Reinforced Concrete Water Structures

2023· article· en· W4385982342 on OpenAlexvenueno aff
Philip Mogire

Bibliographic record

VenueJournal of Materials Science Research · 2023
Typearticle
Languageen
FieldEngineering
TopicConcrete Corrosion and Durability
Canadian institutionsnot available
Fundersnot available
KeywordsCorrosionMaterials scienceService lifeReinforced concreteExtrapolationStructural engineeringDurabilityParametric statisticsComposite materialEngineering

Abstract

fetched live from OpenAlex

The service life of reinforced concrete constitutes the initiation and propagation period. Accelerated corrosion tests are carried out to obtain results in modelling the Service life of reinforced concrete structures. Its erroneous to undertake a direct linear extrapolation of accelerated test results to real structures in predicting their service life. This research examines the relationship between the result from accelerated corrosion and real reinforced concrete water structures. The physical and chemical properties of the materials used in the study were investigated for compliance for use in reinforced concrete water structures. Concrete of three classes M25, M30 and M35 were used to cast accelerated corrosion test samples. For each class 9 concrete samples of diameter 100 mm,130 mm and 150mm respectively and 300mm long were prepared. A 10 mm diameter bar,400mm long was centrally inserted during casting. After curing the test samples were immersed in a 3.5% solution of sodium chloride solution under 6 V. The accelerated corrosion specimens were monitored for onset of cracks and stopped when the cracks were 0.2 mm in width. Using the accelerated corrosion and real reinforced concrete results, a parametric study of the propagation period was done and a model proposed. From the results the proposed and published propagation period model compares well. The result from accelerated corrosion and real reinforced concrete water structures lineally increase for the propagation period. The proposed model can be considered as an input parameter for the service life of actual reinforced concrete water structures and contribute to their optimum performance.

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)0.005
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 score0.019
Threshold uncertainty score0.226

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.067
GPT teacher head0.352
Teacher spread0.285 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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