Characterization of Site Effect and Natural Frequency of Railway Bridges
Bibliographic record
Abstract
Resonance could occur as a wave propagates through the soil resulting from seismic vulnerability activities. The resonance impact resulting from the local site effects may cause civil infrastructures failure such as railway bridge collapse. This study presented possibilities of the resonance in the BH77 railway bridge in Lampung, Indonesia. Characteristics of the site effect around the bridge were evaluated using microtremor data. Measurements were made at nine locations, with two points were on the bridge, and seven other points were scattered around the bridge. Microtremor data were analyzed using the Horizontal to Vertical Spectral Ratio (HVSR) method to find natural frequencies and amplification factors. Furthermore, the site effect around the bridge was analyzed using the natural frequency, the amplification factor, and the seismic vulnerability index (Kg) to have site effect characteristics. Results of the study indicated that the research area showed amplification factors (A0) ranging from 5.15 to 12.19. The site natural frequency obtained from the study was about 4.01-7.27 Hz. The seismic vulnerability index in the study area was 4.2-19.4. The obtained natural frequency (F0) on the bridge had a value between 5.20 and 6.19 Hz, and the natural frequency value at the site was 4.01-7.27 Hz, respectively. This phenomenon indicated that there would be a possibility of resonance on the railway bridge. It is interesting to note that this case study might be beneficial to practicing engineers and researchers.
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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".