États limites de piliers de ponts en béton armés de cerces avec recouvrement à la base
Bibliographic record
Abstract
Several past earthquakes have shown that bridges can be the weak points of a transport network. Nevertheless, returns of the post-seismic experiences as well as theoretical and experimental studies made by researchers and practice engineers allowed the art rules evolution related to the seismic behavior of bridges. One result of this evolution is the seismic performance based design (DBPS). In brief, the DBPS tries to design structures which will reach a certain limit state of performance when they are submitted to an earthquake of a given intensity. However, in the optics of the DBPS, it is essential to define the limit states of the main components of bridges, mainly for columns, in a measurable way rather than phenomenological. During the development of the fragility curves of bridges in Québec, it seemed that the limit states of the bridges columns were not clearly defined. An experimental research program was thus designed to determine the limit states of the reinforced concrete bridge columns. The project includes the testing of a large-scale reinforced concrete bridge column submitted to lateral cycles load in addition to a constant axial load which represented the real dead load level. The column reproduces the exact properties of the Chemin des Dalles bridge columns (Trois-Rivières, Québec). This research project aims to improve the evaluation of the seismic fragility of existing bridges of Québec road network and optimize the seismic design for future structures according to the performance based seismic approach. In particular, the project seeks to address the significant uncertainties which remain on the quantitative description of the limit states of the reinforced concrete bridge columns, particularly at the associated deformations level.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".