ON THE INFLUENCE OF ROAD AND RAIL TRAFFIC ON SEISMIC VULNERABILITY OF HISTORIC MASONRY BUILDINGS
Bibliographic record
Abstract
In the event of the earthquake that struck the city of Zagreb on the 22nd of March 2020. many of the buildings in the old city centre suffered from various types of damage. Most of the masonry buildings in the old city of Zagreb are over 100 years old, and so is the tramway infrastructure running alongside the buildings. The long operational period of tramway traffic can be an important factor when we talk about the influence of traffic-induced vibrations on the seismic vulnerability of the buildings. Long-term exposure to high levels of traffic-induced vibrations can lead to mortar deterioration and detachment of masonry units. To analyse the influence of vibrations induced by tramway traffic, historic data on tram operations and earthquake damage have been investigated. Segmentation of rail tracks was made taking into consideration the distance between the track and surrounding buildings as well as the assessment of damage on the buildings after a recent 2020 earthquake. Furthermore, to inspect the influence of various types of traffic on the surrounding buildings, eight different locations in Zagreb’s urban core have been chosen for statistical analysis (six streets in the north-south direction and two intersections).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".