Damage assessment of steel angle members subjected to very-low-cycle loading
Bibliographic record
Abstract
This study deals with damage processes to steel structural members up to an ultimate cracking state caused by local buckling that occurs under large deformations due to very-low-cycle loading. In this study, a very-low-cycle loading means a repetitive loading, with 5 to 20 loading cycles, within the large plastic range. Experiments were conducted on steel angle members that were subjected to very-low-cycle loading that caused global and (or) local buckling and plastic elongation. The objective of the experiments was to quantify important physical factor relationships between cracks and ruptures to large repetitive deformations. A nonlinear finite element method analysis was performed to trace the experimental behavior of steel structural members. A new approach to seismic damage assessment for steel members is proposed based on local stress-strain histories and cumulative states of deformation at critical parts.Key words: damage index, very-low-cycle loading, local strain, buckling, crack, steel member.
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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 | 0.001 | 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".