Experimental Investigation of Bed Shear Stress Distribution in Spatially Varied Flow
Bibliographic record
Abstract
Boundary shear stress plays a critical role in open-channel hydraulics, controlling momentum exchange with boundaries, sediment transport, and hydraulic resistance.This paper experimentally investigates the distribution of boundary shear stress in spatially varied flow (SVF) with increasing discharge caused by lateral inflows.A full-scale roadway model (6.2 m × 2 m × 1.5 m) was constructed with adjustable slopes, base discharges of 10 and 50 m³ /hr, and lateral inflows (nozzles discharges) of 5 and 12 m³ /hr.Flow depths were measured using ultrasonic sensors, while velocity gradients in the viscous sublayer were captured with a Laser Doppler Velocimeter (LDV) to compute local shear stresses.A total of 216 experiments were performed at 54 measurement points across multiple longitudinal sections.Results demonstrate that normalized bed shear stress exhibits minimal variation at the upstream and downstream boundaries but decreases transversely from the model centerline to the walls within the inflow zone.Negative shear stresses were observed near nozzle entry points, indicating local flow reversal due to jet impingement.The influence of lateral inflow was strongest at low base discharges and diminished at higher discharges, highlighting the interaction between main channel flow and turbulence induced by inflow jets.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".