Applications and Limitations of Single-Phase Models to the Description of the Rapid Filling Pipe Problem
Bibliographic record
Abstract
The study of the hydraulic behavior of stormwater sewers during intense rain events is motivated by operational problems associated with this rapid filling process they experience.As is well known, intense rain events may trigger the occurrence of pipe-filling bores, which causes flow regime transition between free-surface and pressurized flows and also expulsion of the air within the pipes.In some cases, these bores cause problems such as structural damages to the drainage system and geysering through manholes.Various approaches to promote the numerical simulation of the flow regime transition are available, and some of them incorporate the effects of the air phase within the pipes.In most cases, the modeling of the air phase dynamics is simplified, improving only the calculation of the bore speed changes due to the air pressurization.However, experimental investigations promoted by Vasconcelos and Wright (2004a) demonstrated that the effects of the air pressurization are not limited only to the bore propagation but also contribute to other changes in the flow behavior.In cases when the venting conditions are too limited, the single phase flow approach to modeling system behavior may be insufficient.This work aims to explore the applicability limits of single-phase numerical models for the rapid filling pipe problem using a simplified treatment for the air phase.The numeric code solves the Saint-Venant equations with the Preissmann slot using a finite volume procedure able to capture shocks with minimum numerical diffusion.Air phase
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".