Optimization Design of the Support Plate of Large-scale Split Jack Multifunctional Rescue Attachments
Why this work is in the frame
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Bibliographic record
Abstract
Aiming at the problem of low strength and low rigidity of the support plate of the large-scale split jack multifunctional rescue attachment, a simulation model of the attachment is established based on the working principle of the split jack rescue attachment. The limit working condition is used as the input condition, and the finite element analysis is carried out on the support plate of the split jack rescue attachment. Based on the response surface method and multi - objective genetic algorithm, the main size parameters of the support plate are selected as the design parameters, and the maximum equivalent stress, maximum deformation and mass minimization are the optimization goals, and the optimization model of the support plate is established. Optimize its structure. The result shows that the strength and rigidity of the support plate are improved without increasing the mass.
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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 it