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Record W2306897543 · doi:10.14796/jwmm.r235-15

Flow Regime Transition and Air Entrapment in Combined Sewer Storage Tunnels

2009· article· en· W2306897543 on OpenAlexvenueno aff
Steve Wright, José G. Vasconcelos, James W. Lewis, Calvin Creech

Bibliographic record

VenueJournal of Water Management Modeling · 2009
Typearticle
Languageen
FieldEngineering
TopicHydraulic flow and structures
Canadian institutionsnot available
FundersFundação de Empreendimentos Científicos e TecnológicosConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsFlow (mathematics)EntrapmentStormwaterEnvironmental scienceAirflowStormwater managementGeotechnical engineeringMechanicsGeologyEngineeringSurface runoffMechanical engineeringPhysicsLaw

Abstract

fetched live from OpenAlex

The rapid filling of a stormwater storage tunnel is accompanied by a flow regime transition from free surface to pressurized flow with the presence of a hydraulic bore.Nearly all previous experimental investigations of flow regime transition have involved the study of pipe-filling bores; this seems to be a consequence of the experimental setup implemented as opposed to a necessarily common occurrence in prototype systems.In analyzing transient filling conditions in a large combined sewer overflow storage tunnel proposed for Washington DC, it became clear that the flow regime transition more commonly occurs as a gradual flow regime transition which involves a regular free surface bore followed by a gradually sloping free surface up to the pipe crown.This unsteady process can result in air pockets being trapped and pressurized in the system.As these air pockets reach a ventilation shaft, they can be quickly released upward in an air-water mixture.This phenomenon known as geysering potentially results in the untreated poor quality water returning to the surface.Laboratory experiments were used to observe the formation of pressurized air pockets and geysering events associated with gradual flow regime conditions.Geysers that occur due to the release of these air pockets do not necessarily correspond to high pressures in the system.The consequences of these observations for the requirements of numerical models are discussed.It is also

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.181
Teacher spread0.175 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations8
Published2009
Admission routes1
Has abstractyes

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