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Record W4385720540 · doi:10.1061/9780784485019.033

What Is a Safe Filling Velocity in Water and Wastewater Pipelines?

2023· article· en· W4385720540 on OpenAlexaff
Ahmad Malekpour, Ahmad Shahroodi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWater Systems and Optimization
Canadian institutionsWSP (Canada)Centre for Global Health ResearchThornhill Medical (Canada)
Fundersnot available
KeywordsPipeline transportTransient (computer programming)OverpressurePipeline (software)MechanicsTransient analysisWastewaterTransient flowEnvironmental sciencePetroleum engineeringWater hammerMaterials scienceTransient responseGeologyEngineeringEnvironmental engineeringMechanical engineeringSurgeComputer sciencePhysicsElectrical engineeringThermodynamics

Abstract

fetched live from OpenAlex

While being filled, water and wastewater pipelines may be exposed to complex transient two-component (air and liquid) flow, which may impose significant transient pressures on the pipeline system. This paper presents a novel numerical model for simulating the transient response of water and wastewater pipelines during filling. Numerical exploration with a hypothetical pipe system concludes that (1) the resulting transient pressures depend on the shape and number of undulations in the profile of the pipeline; (2) the affirmation that the severity of the resulting transient pressures increases as the filling velocity increases; (3) irrespective of the filling velocity, undesirable transient conditions can be mitigated by properly sizing key air valves in the system; and (4) even a low filling velocity of 0.3 m/s may induce negative pressures in the pipeline when a high enough overpressure onset at an air valve is reflected at the filling water column front.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.198

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 head0.012
GPT teacher head0.201
Teacher spread0.189 · 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 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

Citations2
Published2023
Admission routes1
Has abstractyes

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