Behaviour and Seismic Design of Stiffeners for Steel Bridge Tower Legs and Piers
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Bibliographic record
Abstract
Thin-walled steel bo x colu mns have wide applications in p iers of u rban highway bridges, and in the towers of suspension and cable-stayed bridges. Currently, in practice, the stiffeners for tower legs and steel b ox pier colu mns are flat plates, all having the same cross sections and equally spaced from each other and fro m outside walls. With the constraint due to the adjacent walls, and with the stiffeners, especially the middle stiffeners, being not stiff and strong enough to form nodal lines due to yielding during cyclic loading, the middle portion of the stiffened plate tends to have the largest out-of-plane deformation. A new and more efficient concept for design of longitudinal stiffeners is proposed in this paper -to invest mo re stiffening material in the middle stiffeners instead of making all stiffeners to have the same cross section. In addition, based on the studies summarized here, we propose to use se ctions other than flat plates as stiffeners. We studied the effects of stiffeners cross sections and stiffener spacing on the local and overall buckling as well as the resulting stiffness and cyclic ductility of the steel bo x pier and steel tower legs. Our investigations showed that using stiffeners with an angle, plate or pipe welded to the traditional flat plate stiffener can improve the performance of th e stiffened plate considerably -delay local buckling and increase cyclic ductility of the stiffened plate. So me of the new stiffener geomet ries we studied and recommended can very efficiently be used in seismic retrofit of the steel bo x piers and tower legs of elevated freeways and major cable-supported suspension and cable-stayed bridge towers.
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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