Numerical Modeling of Tsunami-Induced Scouring around a Square Column: Performance Assessment of FLOW-3D and Delft3D
Why this work is in the frame
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Bibliographic record
Abstract
April Le Quéré, P.; Nistor, I., and Mohammadian, A., 2020. Numerical modeling of tsunami-induced scouring around a square column: Performance assessment of FLOW-3D and Delft3D. Journal of Coastal Research, 36(6), 1278–1291. Coconut Creek (Florida), ISSN 0749-0208.In recent years, tsunamis have caused considerable damage to coastal infrastructures and inflicted numerous casualties in coastal communities in the impacted regions. The information, which the design requirements for tsunami-resistant infrastructures is based on, is still in its preliminary stages. The focus of the study was to investigate, by means of a numerical model, the scouring occurring around a single, square column subjected to tsunami floods. A three-dimensional (3D) hydrostatic numerical model (Delft3D) and a 3D nonhydrostatic model (FLOW-3D) were used to replicate a series of physical tests conducted at the University of Ottawa, which consisted of a dam-break wave impacting onto a single square column installed over a movable sediment bed. These experimental tests were conducted in the Dambreak Flume at the University of Ottawa. Four different turbulence models and two different sediment-transport models were tested to find the most appropriate combination, which could model the complex flow characteristics associated with a dam-break–type bore. An extensive review of the hydrodynamic and scouring performance of various numerical models was also included in this study.
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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 | 0.001 | 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 | 0.001 |
| 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 it