Experimental and numerical investigation on tsunami run-up flow around coastal buildings
Bibliographic record
Abstract
Inland tsunami flows can be greatly affected by the presence of coastal buildings. The present study experimentally and numerically investigated the effects of nine different building layouts on 1) the tsunami inundation process and spatial velocity distribution, 2) the flow depth and velocity at a specific point, and 3) the extent of the area where shielding effects take place. High-speed video footage, PIV analysis, and the time history of flow depth, surface velocity and momentum flux demonstrated significant differences in the tsunami run-up behavior among the different building layouts considered. However, it was also shown that a decrease in the surface velocity of flow always appears in front of and immediately behind the building(s), regardless of their layouts. The OpenFOAM simulations performed revealed that significant shielding effects appear in the leeside of the building. These findings can be used when considering where to place evacuation buildings, as constructing them directly behind another study structure could reduce construction costs and increase their stability. The obtained results were also applied to partially validate the method for calculating the channeling effects of tsunami loads provided in ASCE 7–16.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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 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".