Dynamic Characteristics Analysis of Large Self-anchored Suspension Bridge
Bibliographic record
Abstract
The dynamic behavior of a large self-anchored suspension bridge was studied in this paper. A dynamic spatial finite element model of Taohuayu Yellow River Bridge, which is a super large span self-anchored suspension bridge, was created using MIDAS. Sub space iteration method was used to calculate its natural frequency and vibration mode, the dynamic characteristics and structure stiffness were discussed and analyzed on the basis of calculated results. Results show that the vibration modes are mainly vertical bending of deck, the stiffness of girder is small, in the first 10 vibration modes, out of plane sway and torsion of cable did not appeared, thus indicated this bridge was designed properly, and has a high performance in terms of anti-seismic. The results of this paper can also provide some references for the design, construction, health monitoring and maintenance of bridges of like.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".