Estimation of debris flight trajectories of roof cover from low-rise buildings
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
During windstorm events buildings can represent both wind-borne debris source and target elements. Roof cover can fail and be blown away, impacting the surrounding construction, reaching significant distances. Analytical models to calculate debris trajectories generally consider the flight to occur in uniform flow. These models are, therefore, not considering source building aerodynamics, yielding results that can be significantly overestimated. This paper defines U debris , the equivalent uniform wind speed that leads to the analytical solutions in roof cover flight assessment that matches the available datasets that considers source building aerodynamics. To calculate U debris , the concept of response time is introduced: t* is a parameter that physically captures the tendency of debris elements to fly with the wind gust. The identification of these times, typical for each roof cover type, leads to a selection of a gust factor, G, to account for the debris response. Roof/wake factors (F R ) are also used for U debris calculation, based on roof cover type, locations on the roof, neighborhood settings. These last factors are estimated based on t*, on the boundary layer that develops on the source building roof slope, and on considerations about turbulence effects. A Monte Carlo simulation-based approach for estimating roof cover element flight trajectories is, therefore, presented and validated against experimental datasets. The results indicate alignment with experimental observations, underscoring the potential utility of this approach for dealing with wind-borne debris issues in disaster preparedness, building technology, and structural design.
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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) | 0.002 | 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 it