Collapse Pattern Identification for Cable-Stayed Bridges Based on Ultimate Limit Analysis
Why this work is in the frame
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Bibliographic record
Abstract
A method based on ultimate limit analysis (ULA) was proposed to identify collapse pattern for cable-stayed bridges. The proposed method had no need to model the whole process of structural progressive failure, but assumed plastic hinge model of cable-stayed bridges, which had two sets of variables describing plastic hinges’ positions and rotational angles. By a two-stage sequential optimization, the variables could be solved to reveal the bridge collapse pattern. Parametric studies could be further conducted to identify the bridge critical components, and explore the effects of some design parameters on collapse pattern and ultimate load-carrying capacity (ULC). The proposed technique was illustrated on a twin-pylon cable-stayed bridge. Comparing with the results of nonlinear finite element analysis (FEA), the yielded components forming collapse pattern can be correctly extracted from the plastic hinge model. This technique results in small errors (less than 3.1%) for estimating the ULCs.
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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