A New Life Prediction Model Based on Ductility Exhaustion Theory for High Temperature Low Cycle Fatigue of Turbine Disk Alloys
Bibliographic record
Abstract
Based on ductility exhaustion theory and the generalized damage parameter, a new viscosity-based life prediction model is put forward to account for creep and mean strain or stress effects in a low cycle fatigue regime. The mechanisms of loading waveform and cyclic hardening effects are also taken into account within this model. It assumes that damage accrues by means of viscous flow and ductility consumption relates only to plastic strain and creep strain under high temperature low cycle fatigue conditions. The proposed model provides a better prediction on the fatigue behaviors of Superalloy GH4133 than the Goswami’s ductility model and the generalized damage parameter. Compared with the proposed model and the generalized damage parameter, the Goswami’s model cannot properly account for creep and mean stress effects on the low cycle fatigue life. Under non-zero mean strain conditions, the proposed model provides more accurate predictions of GH4133 Superalloy than that with zero mean strains.
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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) | 0.000 | 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 teacher head, 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".