Studying the Seismic Reliability in the Cable-Stayed Bridge
Bibliographic record
Abstract
With regard to the abundant importance of bridges and the need to study the behavior of these structures against earthquake forces and also new and strong methods for analysis of structures in this article, the probabilistic structure based on seismic reliability is used in order to assess the seismic performance of the members of a cable bridge by using of incremental non-linear dynamic analysis. This analysis method is an efficient tool for estimating the need and capacity in engineering probabilistic method according to the performance. With regard to the unpredictable and uncertain property of earthquake and the hypotheses existing in modeling the bridges and uncertainties existing in demand and capacity and with regard to the losses and severity parameters, the method based on reliability is used for studying in these structures according to the intended performance levels. In this research, the purpose is to study the seismic reliability of one of the cable bridges which has been designed according to the seismic criterion of Iran country (Ahvaz). In this research, sap2000 software has been used for incremental non-linear dynamic analysis, and the reliability level is calculated with regard to FEMA351 instruction.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".