Threshold and Variable Amplitude Crack Growth Behavior in 350WT Steel
Bibliographic record
Abstract
A number of models are currently available for the prediction of fatigue crack growth (FCG). Among them, Zhang and Hirt model has been identified as the most promising, based on the fact that it requires knowledge of only the basic mechanical properties of the material and the threshold stress intensity factor (Kth). To determine an appropriate value for Kth, an experimental program was designed to investigate the crack growth threshold behavior of 350WT steel. The resulting Kth was found to be similar to that suggested by other workers. However, our investigation showed that when used in conjunction with the Zheng and Hirt model, the experimentally determined Kth yields poor fatigue life predictions (FLP). An experimental testing program was also developed to investigate the fatigue crack growth behavior of center-cracked 350WT steel specimens when subjected to semi-random loading comprised of various combinations of intermittent tensile overloads and compressive underloads. Taheri et al. [1] proposed an exponential delay model for the prediction of crack growth behavior under the influence of intermittently applied tensile overloads. The current investigation proposes a modification to the exponential delay model to include the effects of not only overload ratio, but also stress ratios and overload/underload ratios. The modified delay model predictions proved to be in good agreement with the experimental data.
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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) | 0.001 | 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 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".