CLIMBING MODEL AND OBSTACLE-CLIMBING PERFORMANCE OF A CABLE INSPECTION ROBOT FOR A CABLE-STAYED BRIDGE
Bibliographic record
Abstract
A cable inspection robot is proposed to automatically check the cables of a cable-stayed bridge. First, a climbing model supported by an independent spring and an inspection robot is designed. Second, the dimensionless parameter, h/r, which is the ratio of the vertical height of the obstacle to the radius of the obstacle-climbing wheel, is selected as the evaluation standard of the climbing ability of the robot; after which a mathematical model of such obstacle-climbing ability is established. Third, the bearing capacity of the driving wheel rubber is studied using the finite element method. Afterwards, the analysis of the climbing performance is then carried out through simulation by studying two influential perspectives, namely, the positive pressure from the passive end spring and the swinging angle of the passive wheel. Finally, field experiments are carried out on the HuangPu Cable-Stayed Bridge. Based on the results, the robot can climb steadily on various inclined cables.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 source (direct Gemma or distilled Codex), 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".