Novel time-dependent seismic fragility assessment tool for existing RC highway bridges in a multi-hazard environment considering regular maintenance
Bibliographic record
Abstract
In environments where bridges are subjected to multiple hazards over their lifetime, assessing the fragility of bridges solely under earthquake loading would not provide proper insights into the actual performance of bridges. Moreover, existing time-based fragility tools in the literature fail to accurately represent bridge behavior, as they depict corrosion as an ongoing process that continuously deteriorates the bridge until its end. This study addresses the necessity of employing realistic, time-dependent fragility tools that consider the impact of routine maintenance activities, such as concrete patching and grouting, in bolstering the future resilience of bridges. The performance-based assessment in this study is conducted on existing bridges that have already suffered from past corrosion. In this research, climate change scenarios are first investigated based on future forecast models to anticipate the temperature and relative humidity changes up to the year of 2100. Subsequently, corrosion is quantified in concrete and steel using the proposed climate change scenarios. Then, nonlinear static pushover analysis is conducted to assess the drift ratio at various limit states of the bridge. Based on the pushover curves, time-based fragility analysis is conducted to assess the performance of reinforced concrete bridge columns in various environments under different corrosion levels using multiple climate change scenarios. Accordingly, maintenance-adjusted fragility tools are developed using different maintenance strategies at various intervals. The proposed temporal fragility tools serve as a benchmark for bridge engineers to evaluate the seismic performance of existing bridges in multi-hazard environments. • Novel maintenance-adjusted fragility tools are developed for bridges in multi-hazard environments. • Time-dependent incremental dynamic analysis is performed to assess seismic performance degradation over the bridge's lifespan. • Performance-based assessment is conducted on existing bridges that have suffered from past corrosion.
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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".