Analysis of a damaged 12-storey frame-wall concrete building during the 2010 Haiti earthquake Part I: Dynamic behaviour assessment
Bibliographic record
Abstract
Despite all the damages encountered during the 2010 Haiti earthquake, the 12-storey reinforced-concrete Digicel building behaved well, sustaining only reparable damages. Visual assessment to characterize the damages sustained and ambient vibration tests (AVT) were carried out to identify the building’s key dynamics properties (natural vibration frequencies, mode shapes, and damping ratios). ETABS was used to generate finite element (FE) models before and after the AVT, to evaluate the capabilities of common modelling assumptions to predict the dynamic behaviour of structures. Nonautomated model updating was carried out to generate a model representing the building’s actual dynamic behaviour in its damaged state. The study showed that the finite element method (FEM) is reliable for predicting the dynamic behaviour of structures, but is very sensitive to the modelling assumptions. The models could predict the vibration frequencies precisely, but an accurate representation of the mode shapes required careful model updating.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".