Bolt Load Relaxation and Fatigue Prediction in Threads with Consideration of Creep Behavior for Die Cast Aluminum
Bibliographic record
Abstract
<div class="section abstract"><div class="htmlview paragraph">Bolt load retention is an important consideration in developing highly loaded structures with die cast aluminum due to its creep behavior. During development of a new cylinder block design, an objective was established to optimize the main bearing bolted joint design for bolt load retention. A creep model was developed from literature data, applied using detailed thread sub-models, and calibrated to produce results in good agreement with observed bolt load loss. This creep model was applied in sensitivity studies to investigate the effect of variation in thread engagement and installation load on bolt load loss. Selected thread sub-models were used with and without creep considerations to estimate high cycle fatigue safety in the bulkhead thread roots of a highly loaded cylinder block. Results from the investigation demonstrate that bolt clamp load loss due to creep can be simulated, and sensitivity studies can provide practical design guidance. Further, including the effects of creep can provide estimates for stress relaxation in threads, and its influence in fatigue predictions is assessed.</div></div>
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".