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Record W4281907607 · doi:10.1061/9780784484258.098

Insights and Challenges Associated with Air in Pressurized Water Conveyance Systems

2022· article· en· W4281907607 on OpenAlexaff
Elias Tasca, Bryan Karney, Mohsen Besharat, Helena M. Ramos, Ling Zhou

Bibliographic record

VenueWorld Environmental and Water Resources Congress 2022 · 2022
Typearticle
Languageen
FieldEngineering
TopicWater Systems and Optimization
Canadian institutionsHudbay Minerals (Canada)University of Toronto
Fundersnot available
KeywordsRisk analysis (engineering)Variety (cybernetics)SafeguardLimitingComputer scienceEngineeringBusinessMechanical engineering

Abstract

fetched live from OpenAlex

Air is present in pressurized water systems for a variety of reasons, including incomplete removal during filling, air entrainment at intakes or entrances, air admission during draining operations, or air exchanges due to transient events such as power failure or pipe burst. Each of these sources or events creates specific design and operational challenges, issues that often require thoughtful and sometimes expensive approaches to avoid serious upsets or accidents. Indeed, the design and operational challenges must collectively be blended to produce a robust and economical design that is valid for all foreseeable operational and emergency actions that might involve the presence of air, whether the air is admitted, expelled, or merely present in the flow system. This paper summarizes the key findings that relate to the presence of air in pressurized flow systems. The focus is on the available research and operational experience regarding the challenges and strategies for coping with residual air, for removing air, or for admitting air into the conveyance system. The emphasis is on practical recommendations but also highlights some of the key uncertainties that remain when dealing with the full range of design and operational challenges confronting those seeking to safeguard the long-term performance of pressurized water conveyance systems. One of the persistent challenges is to select suitable design events since the conditions a pipeline will experience over life are inevitably both highly varied and somewhat uncertain.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.800
Threshold uncertainty score0.530

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 head0.140
Teacher spread0.134 · 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
Published2022
Admission routes1
Has abstractyes

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