Homogenization Modeling of Periodically Wrapped String-Harnessed Beam Structures: Experimental Validation
Bibliographic record
Abstract
High-flexibility, small-mass, and high-bandwidth controllers required for inflatable space missions need quite accurate models to predict higher-order dynamics of these structures. Some major components often ignored in dynamic analysis of space structures that result in model inaccuracies are space flight cables. The cables-to-payload-mass ratio can be about 20% in a traditional space structure; this number can increase significantly for inflatable structures due to their extremely light weights. As such, these cables can have significant impacts on the structural dynamics. The presented paper considers string-harnessed beam structures as a way to study the mass and stiffness effects of these cables. As a preliminary step, damping is ignored in the presented models. A homogenization technique is applied to develop the governing partial differential equation for the transverse bending coordinate of vibration of the string-harnessed beam structures. A periodic wrapping pattern is considered for the string throughout this paper. The frequency response functions for the continuum model are then compared to the experimental results, for which strong agreements are observed.
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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 | 0.001 |
| 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 | 0.001 |
| 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".