Impact of Key System Parameters on the In-Plane Dynamic Response of a Cable Network
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Using crossties to connect a cable which has experienced or is prone to violent motions with its neighbors and form a cable network has been successfully applied to a number of cable-stayed bridges to control stay cable vibrations. However, matured guidelines for designing crossties are still lacking. The present study aims at identifying key system parameters which dictate the in-plane dynamic behavior of a cable network and evaluate their respective roles. An analytical model of a general cable network consisting of n horizontally laid cables interconnected by a single line of transverse rigid crossties will be developed, based on which the key system parameters will be identified from the system characteristic equation. An extensive parametric study will be conducted to assess the impact of these parameters on the dynamic response of cable networks. The outcome from the study is expected to not only comprehend our understanding in the mechanics associated with cable networks, but also shed light on developing more effective and creative crosstie solutions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 it