Runup and impact load of debris-flow oblique shocks on deflection barrier: theoretical models and experimental verification
Bibliographic record
Abstract
Deflection barriers are often constructed to divert debris flows to less hazardous areas, where oblique shocks form upon impact. This study presents theoretical models for oblique shock against a deflection barrier, which predicts the runup height and impact load of oblique shocks with known incoming-flow conditions. Flume experiments are then conducted with the flume inclination and gate opening height as variables to quantify the incoming flow conditions via the Froude number, and to validate the performance of the oblique shock model. The experimental results show that both runup height and impact load (in dimensionless form) increase with the incoming-flow Froude number, which is well predicted by the theoretical models. The runup height and impact load of normal shocks can be considered as upper limits of oblique shocks. However, it would be overly conservative to adopt the predicted runup and impact load of normal shocks for oblique-shock mitigation. It should be noted that the proposed model is not applicable in scenarios where dead zones form between the deflected flows. Findings of this study lay a theoretical foundation for the design of mitigation structures aimed at diverting debris flows.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".