Flood-Induced Debris Dynamics over a Horizontal Surface
Bibliographic record
Abstract
This paper reports on an experimental test program investigating the motion and entrainment of flow-entrained debris. The motion of debris in large scale hydraulic events can cause severe damage to the impacted communities: the dynamic characteristics of the debris’ motion is crucial in identifying high-risk areas in affected communities. Determining the motion of flow-entrained debris has been historically difficult to quantify as many traditional techniques, such as post-mortem site assessment, cannot provide sufficient information about the kinematic and environmental conditions that affect the debris motion. This paper presents a novel non-invasive system for tracking the 6 degrees-of-freedom debris motion. The experiments examined the effect of various debris configurations on their entrainment as well as their overall motion. Using video footage, the debris entrainment mechanisms and surrounding flow features common to all experiments were examined and using this tracking system, the motion of the debris was accurately tracked and further used to validate other debris spreading observed in real field conditions.
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How this classification was reachedexpand
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 | 0.001 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".