Multi-Hazard Resilience Assessment of Base-Isolated Bridges
Bibliographic record
Abstract
Damage to bridges during natural hazards can cause major difficulties in post-event emergency activities. In addition, the deterioration of bridges over their lifespan significantly impacts the life-cycle performance of bridges. This study intends to evaluate the overall life-cycle resilience performance and post-hazard loss analysis of isolated bridges equipped with different isolation systems, including lead rubber bearings and friction pendulum bearings. For the lifetime resilience and vulnerability assessment of a curved base-isolated bridge, bridge deterioration resulting from rebar corrosion and suites of ground motions representing possible seismic hazards at the bridge site are considered. The comparative resilience assessment and loss analysis results represent the base-isolation technique's comparative adequacy, resiliency, and cost-effectiveness. Statistical analysis is conducted to identify the parameters affecting base-isolated bridges' resiliency and life-cycle cost. The results demonstrate that the resilience, loss, and cost analysis results are highly sensitive to the type of isolation bearings.
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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 | 0.000 | 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 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".