Approches expérimentales et numériques pour l'analyse dynamique d'un pont routier
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT This paper presents different aspects related to the application of dynamic analysis to bridge structures. Two particular aspects are exposed and applied to the case of an existing prestressed concrete box-girder bridge. At first, a modal analysis is performed. The structure is modeled using three dimensional finite elements and the computed modes are compared to those obtained from in situ experimental measurements. Thereafter, a complete dynamic analysis is done by time integration in order to simulate as precisely as possible the bridge behaviour. This computation takes into account the real dynamic interaction between the vehicles and the deformed structural model with an added roughness to the road surface. The results are then compared to those provided by field measurements. After such a validation of the model behavior, a parametric study of the dynamic amplification factor based on Monte Carlo generation of different parameters is presented.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it