Local scour and hydrodynamics around river crossing pipelines under ice-covered flow conditions
Bibliographic record
Abstract
Local scour around submarine pipelines is a critical concern in cold-region hydraulics, where ice cover alters flow dynamics. This study experimentally investigates scour behavior under varying flow conditions, pipe configurations (single, tandem, and triple), and ice scenarios (open-channel, smooth ice, and rough ice). Flume tests were conducted using PVC pipes with diameters of 0.04 m, 0.05 m, and 0.06 m. Results show that ice cover increases equilibrium scour depth and reduces the time to reach the equilibrium state, with rough ice producing the deepest scour due to enhanced near-bed turbulence and flow confinement. In contrast, multi-pipe layouts reduce maximum scour depth but accelerate scour onset. Velocity field measurements from Acoustic Doppler Velocimetry (ADV) revealed intensified reverse flows and elevated turbulent kinetic energy near the bed under ice-covered conditions, consistent with observed scour patterns. This work extends existing scour models by incorporating the combined effects of ice roughness and multiple-pipe interference, offering empirical tools tailored for cold-region pipeline design.
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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 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".