Effect of Surface Roughness on Cyclic Ductility of Corroded Steel
Bibliographic record
Abstract
Stable cyclic hysteretic behavior is required from structural members to dissipate seismic energy. Limited knowledge exists on the hysteretic behavior of corroded steel, and a relationship that quantifies energy dissipation capacity as a function of section thickness and roughness does not exist. Monotonic and cyclic tests of corroded steel were conducted in this research in an attempt to provide such quantification. Results from coupons suggest that assessing the strength of rusted members by machining a smooth coupon from steel extracted from an existing corroded structure, and only using the resulting yield and ultimate strength values in otherwise standard multilinear monotonic models, may be an unconservative approach. Results from cycling tests show that: (1) rusted steel can exhibit a significant hysteretic energy capacity, (2) a linear relationship exists between the total dissipated energy normalized by mean thickness and the mean 10-point-height of irregularities, and (3) increases in roughness correspond to decreases in the magnitude of total normalized energy dissipated before complete failure.
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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) | 0.000 | 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) | 0.001 | 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".