Hybrid simulation of existing steel frames with external BRBs for seismic retrofitting (Project SERA-HITFRAMES_Part 2)
Bibliographic record
Abstract
The present study explores the seismic retrofitting of existing steel structures, considering an external placement of BRBs to minimize the invasiveness of the intervention scheme and, consequently, business interruptions and indirect losses. A two-story steel moment-resisting frame (MRF) designed primarily for gravity loads and retrofitted with BRBs placed externally to the frames was considered as test case. Complete metadata as well datasets of measurements acquired during a large-scale hybrid simulation tests performed, are provided. The work was funded as a TA project (entitled " HybrId testing of an existing steel frame with Infills under multiple earthquakes - HITFRAMES") within the Seismic Engineering Research Infrastructure (SERA) project (grant agreement No.730900), supported through the H2020-INFRAIA-2016-2017 Framework Program of the European Commission.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.009 |
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".