Analytical study on in-plane free vibration of a cable network with straight alignment rigid cross-ties
Bibliographic record
Abstract
Using cross-ties is one of the effective countermeasures to suppress unfavorable bridge stay cable vibrations. It has been successfully applied in the field. However, dynamic behavior of cable networks is still not clearly understood, which hinders the development of a more efficient design. The current paper aims at extending the existing analytical studies on in-plane free vibration of cable networks by developing closed-form modal solutions for a wider series of cases, in particular for general cable networks consisting of n horizontally laid main cables interconnected transversely with a single line of rigid cross-ties. The validity of these analytical modal solutions is verified by independent finite element simulations. These closed-form modal solutions offer a clear elucidation of the mechanics underlying various modal behaviors observed in cable networks of different layout and structural properties. In addition, based on the proposed analytical formulation, the important system parameters of cable networks are identified. The unique features associated with cable networks of a number of specific configurations are investigated and discussed.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".