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Record W4417121551 · doi:10.1063/5.0303075

Hydraulic jumps influenced airflow in a partially filled circular pipe

2025· article· en· W4417121551 on OpenAlexaff
Jinlong Zuo, Yu Qian, David Z. Zhu, Zhiqiang Zhang, Shuai Zhi

Bibliographic record

VenuePhysics of Fluids · 2025
Typearticle
Languageen
FieldEngineering
TopicHydraulic flow and structures
Canadian institutionsUniversity of Alberta
FundersNational Key Research and Development Program of ChinaNatural Science Foundation of Zhejiang ProvinceNational Natural Science Foundation of China
KeywordsHydraulic jumpFroude numberDragAir entrainmentOpen-channel flowAirflowTurbulencePipe flowMomentum (technical analysis)Flow (mathematics)

Abstract

fetched live from OpenAlex

A hydraulic jump is one of the most common hydraulic features in open channel flow, inducing extra turbulence. The generation and release of hazardous gases, such as H2S and CH4, can be largely affected by the air movement induced by hydraulic jumps, posing corrosion and health risks in urban drainage systems. Despite extensive research on hydraulic jumps in open channels, gaps persist in understanding air–water interactions in partially filled circular pipes. This study experimentally examines the characteristics of hydraulic jumps and the associated air motion in a partially filled pipe. Experiments were performed in a 0.3 m diameter pipe, with water flow rates ranging from 8 to 21 l/s. Air flowrates and air pressure gradients along the pipe were measured to quantify relative air demand, drag coefficients, and momentum transfer. These results show that the relative air demand β, defined as a ratio of air to water flow rate, increases with the Froude number (Fr) of water flow, especially for Fr < 2, reaching 0.015–0.058 under partially filled conditions, substantially higher than that one for downstream full pipe flow cases. Across the hydraulic jump region, pressure gradients are 20%–80% greater than the ones at upstream or downstream sections, driven by rapid momentum flux changes and intensified turbulent dissipation. Drag forces and pressure gradients are identified as the dominant drivers of air motion, while wall friction is negligible. Drag coefficients decrease with increasing Fr. These findings improve the understanding of air–water interactions in partially filled circular pipes.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.689

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.221
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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