Twenty-One Year Results for Metallic-Coated Steel Sheet in the ASTM 1976 Atmospheric Corrosion Tests
Bibliographic record
Abstract
In 1976, the ASTM G01.04 Subcommittee on Atmospheric Corrosion initiated a long-term atmospheric corrosion test program at five outdoor locations: Kure Beach, NC (25-meter East-coast marine), Newark-Kearney, NJ (industrial), State College, PA (rural), Point Reyes, CA (West-coast marine), and Fort Sherman, Panama (tropical marine). Among the forty-one materials exposed were four coated steel sheet products: G60 galvanized, G90 galvanized, 55% aluminum-zinc-coated, and Type 2 aluminum-coated. Results are presented for the performance of the coated sheet steels after 21 years. These results indicate the following qualitative order of corrosivity for five sites: Panama ~ Kure Beach > Newark-Kearny > State College > Point Reyes Based on changes in the corrosion of 55% aluminum-zinc-coated, an increase in the aggressiveness at Panama took place sometime during the 10th to 21st year of exposure. Future testing at these sites could be better quantified by short-term (1–2 years) exposures of standard materials. A loss of significant data from 2-, 5- and 10-year removals and initial weights for many of the test materials highlights the importance of safeguards to ensure the integrity of future long-term ASTM tests. In terms of relative performance, the results are consistent with the following order of corrosion resistance (most-to-least). T2 100 ~ AZ55 > G90 > G60
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".