Visual Aid Depicting Mechanical Vibration Systems to Enhance Student Learning
Bibliographic record
Abstract
This paper introduces a program developed for simulation of the mechanical vibration of multi-degree-of-freedom systems with lumped masses. Inputs are system properties and initial conditions, and outputs are displacement and velocity of each mass as a function of time. In addition, the trajectory (i.e., velocity vs. displacement) and animation of each mass may be illustrated. The program can automatically generate physical models with lumped masses from a set of different boundary conditions. In addition, one may input a model with dynamic and static coupling. Previous works on this subject have considered one or a limited number of aspects of mechanical vibration of lumped mass systems [1]. This program, on the other hand, covers most options associated with such systems and it may be considered as a helpful tool on a MATLAB® platform for teaching and understanding of the relevant courses, such as mechanical vibration and automatic control, at the undergraduate level.
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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 | 0.001 |
| 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 | 0.001 |
| 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".