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Record W2045899765 · doi:10.3151/jact.7.385

Modification of Test Process of PERMIT Ion Migration Test and its Application to Determinate Effect of Methods to Improve Chloride Penetration Resistance of Cover Concrete

2009· article· en· W2045899765 on OpenAlexfundno aff
Jinbo Yang, Peiyu Yan

Bibliographic record

VenueJournal of Advanced Concrete Technology · 2009
Typearticle
Languageen
FieldEngineering
TopicConcrete Corrosion and Durability
Canadian institutionsnot available
FundersNational Key Research and Development Program of ChinaQueen's UniversityNational Natural Science Foundation of ChinaQueen's University Belfast
KeywordsChlorideThermal diffusivityMaterials scienceIonTest methodPenetration (warfare)Permeability (electromagnetism)ElectrolysisComposite materialComputer scienceChemistryEngineeringThermodynamicsGeologyElectrolyteMetallurgyPhysics

Abstract

fetched live from OpenAlex

A modification of the testing procedure was adopted to improve the PERMIT ion migration test method, a non-destructive method to evaluate the quality of concrete in real structures. The steady state migration test procedure was reanalyzed from the viewpoint of electrolysis. The peak current obtained in the PERMIT ion migration test correlated well with the chloride diffusivity, the theoretical relationship between these was discussed and an equation for calculating the effective chloride diffusivity in concrete from the peak current was determined. The new process was found to be quicker and more effective than the typical process of the PERMIT ion migration test and to simplify the test procedure. As an application example, the effect of different controlled permeability formworks for improving the resistance of cover concrete to the penetration of chloride ions was investigated using the modified PERMIT ion migration test.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.294
Teacher spread0.288 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2009
Admission routes1
Has abstractyes

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