Bibliographic record
Abstract
The aim of this paper is to develop a complete simulation model and study the tip-over responses of mobile cranes. The developed model takes into account all factors that could affect the overturning of truck cranes including: (i) detailed dynamics of the manipulator links and the base that can potentially rock back and forth, (ii) combined vehicle suspension and ground-tire compliance, (iii) condition of the ground under the wheels or the outrigger pontoons, (iv) friction between the outriggers/tires and the ground, (v) spatial motion of load carried, via a rope, by the telescopic boom of the truck crane, and (vi) hydraulic drive system. The model also includes the effect of the presence of the wheels that can support the machine in case of ground failure at any of the outrigger pontoons, and therefore is capable of predicting subsequent responses in case of soil failure under the crane supports. Simulation results are presented to understand tip-over responses of a typical mobile crane in the presence of load lifting, load swivel, ground failure and various ground conditions. The model developed in this paper is shown to be capable of producing detailed information about the machine responses, the reaction forces at crane’ supports and the state parameters of drive system to various input scenarios. The acquired information could additionally be used for improving the design of the cranes in general.
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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 | 0.001 |
| 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".