The influence of a human hand-arm system on the vibrational dynamic behaviour of a compliant mechanical structure
Bibliographic record
Abstract
The aim of this study is to provide an approach to predicting human influence on a compliant mechanical structure using a substructuring technique. Substructuring techniques allow us to obtain detailed information on the vibrational behaviour of an assembly of structures by characterization of each structure separately. In this manuscript, a hand-arm system is coupled with a vibrating structure using a substructuring technique. A lightweight and compliant vibrating beam is used to demonstrate the concept. To demonstrate the feasibility of accurately predicting the hand-arm systems’ influence on the beam, we selected one position and tested it using four push forces. The characteristics of the hand-arm system for each configuration were coupled with the dynamic characteristics of the beam only over a frequency range of [5; 300] Hz. For each of the four configurations, the coupling predicts the influence of the hand on the vibrational behaviour of the beam. Reliable predictions were obtained for the vibrational behaviour of the assembly. The results indicate that the substructuring approach predicted the vibrational behaviour of the hand-arm-beam assembly with less than 3% error.
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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 | 0.001 | 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".