Applying the Cyclic Void Growth Model to Assess the Ultralow Cycle Fatigue Life of Steel Castings
Bibliographic record
Abstract
Steel castings have become an attractive option in the development of new seismic force-resisting systems because of their geometric freedom and ability to control material properties. Despite, in most past applications, being used as elements that remain elastic during seismic events, recent research has led to the development and validation of new systems that rely on their yielding response. As such, further study of their ultralow cycle fatigue (ULCF) life is essential to understanding their performance as yielding fuses. Fatigue laws are calibrated herein for multiple heats of cast steel using an existing law proposed for rolled steel. These laws are used to predict the ductile failure of steel castings in full-scale experiments. The concept of a characteristic cyclic coupon test to assess the castings’ ULCF life at the foundry is also discussed. It is found that the ULCF model provides good predictions of the onset of failure in full-scale steel castings. Finally, the initial investigation into relating the full-scale ULCF life to the steel microstructure and small-scale fatigue test results has shown promising results.
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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 | 0.001 | 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".