Numerical Evaluation of Galvanized Steel Corrosion in Mechanically Stabilized Earth Walls
Bibliographic record
Abstract
Abstract Galvanized steel is generally used in mechanically stabilized walls to reinforce the soil due to its high corrosion resistance compared to carbon steel and also its cost effectiveness compared to stainless steel. With galvanized steel reinforcement, steel is protected against corrosion by a thin layer of zinc with a thickness of 20-80 μm. The corrosion of galvanized steel in soil consists of three stages. In the first stage of corrosion, the zinc layer dissolves into soil pore solution. When the underlying steel is exposed to the soil environment in the second stage of corrosion, a galvanic corrosion cell forms between the zinc and steel that limits the corrosion of the steel. The carbon steel reinforcement starts corroding after the depletion of the zinc layer in the last stage of corrosion. In this work, the three stages of galvanized steel corrosion were modeled using the finite element method and a numerical study was conducted to determine the corrosion rate of galvanized steel in soil exposed to corrosive environments. The effect of soil resistivity and oxygen concentration on the corrosion performance of galvanized steel and the effect of zinc thickness on the service life of mechanically stabilized earth (MSE) walls were studied.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".