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Record W2391605476

Short-term corrosion behavior of Q235 steel and X70 pipeline steel in gray desert soil in North America

2013· article· en· W2391605476 on OpenAlexaffabout
Xiaogang Li

Bibliographic record

VenueJournal of University of Science and Technology Beijing · 2013
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCorrosionMetallurgyMaterials scienceIntergranular corrosionSulfate-reducing bacteriaElectrochemistryPitting corrosionSulfateElectrodeChemistry
DOInot available

Abstract

fetched live from OpenAlex

The short-term corrosion behavior of Q235 and X70 steel samples buried for one year in the test trench in a typical mountain sierozem area in Calgary,Canada was investigated by corrosion rate measurement,corrosion characteristic observation and analysis through scanning electrochemistry microscopy and X-ray diffraction,and soil physical and chemical properties analysis.It is found that Q235 steel has a close average corrosion rate and maximum pitting corrosion depth to X70 pipeline steel,but the former has an obviously higher pitting density than the latter.The corrosion products of these two metals are similar and mainly composed of FeOOH,Fe2O3 and Fe3O4,and the corrosion product layer is loose with cracks and not able to prevent these metals from corrosion.There are multiplex bacteria,such as sulphate reduction bacteria(SRB),sulphate oxidation bacteria(SOB) and heterotrophic bacteria in the soil attaching to the two steel samples,which are in cooperation to accelerate the occurrence of localized corrosion under the corrosion product layer due to the effects of their metabolic actions on corrosion processes.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score0.564

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
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 head0.011
GPT teacher head0.223
Teacher spread0.212 · 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 designObservational
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

Citations1
Published2013
Admission routes2
Has abstractyes

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