A Systematic Methodology for Prioritizing Seismic Retrofit Alternatives
Bibliographic record
Abstract
This paper proposes a systematic methodology for prioritizing seismic retrofit alternatives by considering their seismic performance and cost.The framework was applied to retrofit substandard buildings with structural systems common to a medium seismicity region.The proposed seismic assessment and retrofit methodology starts by evaluating the demand-to-capacity (D/C) ratios of the as-built structure and its retrofitted alternatives using 3D finite element models and code-prescribed analysis procedures in line with the region's seismic design criteria.After selecting suitable retrofit alternatives to achieve satisfactory D/C ratios, a verified fiberbased analysis platform is used to assess the inelastic behavior of the existing and retrofitted buildings using inelastic pushover analysis (IPA).This step is followed by incremental dynamic analyses (IDA) using suites of earthquake records representing the seismicity of the construction site.Finally, a seismic performance index (SPI) and a performance-to-cost index (PCI) are used for prioritizing and selecting the most effective retrofit technique.
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".