Design and Optimization for Multistage Energy-Absorption Structures in EMUs under Whole Train Collision
Bibliographic record
Abstract
The objective of the present study is to investigate the influence of impact platform force of main energy-absorbing structures on energy dissipation and deformation pattern of a train body in EMUs collision. For this purpose, the paper developed a model of train based on the impact energy dissipation map of a train and the mechanical deformation properties of each energy-absorbing structure, hi this model, the algorithm combined one-dimensional multitude rigid bodies and structure large plastic deformation was employed. The train-to-train collision was simulated by the model. The research indicated that the main energy-absorbing structures impact platform force of themselves and their mutual matching relationships have an important effect on the distribution of energy absorption proportion in each train during collision. Then the parameter optimization design was earned out in order to obtain the optimal impact platform forces of energy-absorbing structures. The design model used a full factorial design method to determine the simulation calculation conditions. The methods of quadratic response surface, stepwise regression and genetic algorithm were employed to solve the multi-objective optimization model.
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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".