Probabilistic Evaluation System of Seismic Damage States for Bridge Structures.
Bibliographic record
Abstract
This paper describes a newly developed probabilistic evaluation system of seismic damage states for bridge structures. At first, non-linear dynamic response analyses for the reinforced concrete bridge pier system were performed and the response values were calculated. And also, the probability of the first excursion for the threshold that corresponds to multiple damage states was calculated for each response value by the application of threshold-crossing in random vibration theory. Next, the damage transition probability matrix was constructed on the basis of probability of the first excursion. Then, the damage transition probability matrix conducted the damage transition model that included the damage interaction between elements. Finally, based on resulting probabilities of multiple damage states of structure elements, both functional and social damage states of the bridge structures damaged by earthquakes were evaluated. In addition, the development of a program for visualizing damage transition over time with graphical user interface made it possible to check the transition of structural damage easily in the behavior of the entire bridge structure during an earthquake. Then, by comparing cases with and without seismic retrofits, the effects of different seismic retrofit measures on seismic performance were evaluated.
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How this classification was reachedexpand
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 | 0.003 | 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 | 0.001 | 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 teacher head, 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".