Fatigue damage constrained topology optimization for thermo-mechanical loading
Bibliographic record
Abstract
Structures in extreme thermal environments are vulnerable to fatigue damage under thermo-mechanical loads. To effectively address this issue via structural optimization design, this study proposes a thermo-mechanical fatigue damage-constrained topology optimization (TMFDCTO) method. This method aims to design lightweight structures while comprehensively accounting for the impact of thermo-mechanical-load-introduced fatigue damage. We first established a nonlinear fatigue damage analysis framework. This framework quantifies the effect of temperature variations on the S-N curve via the temperature-dependent Basquin equation. Morrow criterion then evaluates nonlinear fatigue damage caused by non-proportional thermo-mechanical loads. We formulated the analytical model of TMFDCTO by introducing a modified P-norm function to effectively process numerous constraints inherently existing in fatigue damage optimization. Finally, two numerical examples validated the feasibility and effectiveness of the proposed method.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.016 | 0.001 |
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; both teacher heads agree on what is shown here.
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".