Coatings Performance under Marine Environment
Bibliographic record
Abstract
Abstract Marine atmosphere with its high level of salinity and humidity is very corrosive. It has been estimated that the direct cost of marine corrosion worldwide is between 50 and 80 billion dollars every year. However, coating the industry is responsible for almost 40 % of this cost. While polymer-based coatings have been used successfully to prevent corrosion in other parts of the world, few such coatings appear to have success in the marine environment. In this paper a new type of coating (properties of both a high performance epoxy and acrylic polyurethane) was tested for preventing corrosion in the marine environment. To have a better understanding of mechanisms of attack and the long-term effects of coatings, salt fog corrosion tests were conducted to ascertain the corrosion protection capability of various coating systems in different thickness including the new coating. Using scanning electronic microscope (SEM) and profilemeters the onset and growth of corrosion were observed. A protocol was developed to identify performance and efficiency of these systems, which can help suppliers and engineers in developing a long life coating systems for marine structure.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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; both teacher heads agree on what is shown here.
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".