Modeling, analysis, and co-simulation of cable parallel manipulators for multiple cranes
Bibliographic record
Abstract
With the increase of the weight and volume of building components, the collaborative working of multiple cranes is necessary when one crane cannot meet the lifting requirement sometimes. This paper is devoted to model and analyze a type of cable parallel manipulators for multiple cranes (CPMMCs). The CPMMCs have better lifting capability than a single crane and can be applied in complex lifting tasks. Kinematics and dynamics of the end-effector of the CPMMCs are studied and the reachable workspace is carried out additionally. Considering the requirements of large output torque, large motion scope etc. the hydraulic drive mode is adopted. The bond graph method is applied for the analysis of hydraulic systems. Subsequently, the AMESim models for the hydraulic systems are constructed. The performance of the CPMMCs and the accuracy of the models are verified by co-simulation under working conditions.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".