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Record W2375646447

Research on system model of high pressure air blowing submarine's main ballast tanks

2010· article· en· W2375646447 on OpenAlexaboutno aff
Tao Jin

Bibliographic record

VenueShip Science and Technology · 2010
Typearticle
Languageen
FieldEngineering
TopicMaritime Navigation and Safety
Canadian institutionsnot available
Fundersnot available
KeywordsBallastSubmarineMarine engineeringTonnageEngineeringAtmospheric pressureHigh pressureEnvironmental scienceMeteorologyGeologyElectrical engineering
DOInot available

Abstract

fetched live from OpenAlex

When the accident of rudder-locked and flooded compartment happens to submarine,the most effective method to recovery submarine is acquiring positive buoyancy and moment through blowing main ballast tanks.The model of high pressure air blowing ballast tanks concerns the success or unsuccess of submarine's recovery,so it is necessary to carry through the research of high presure blowing model.The paper analyzes the characterstic of physical model of high pressure air blowing submarine's main ballast tanks.Then establish the short circuit and routine blowing model,and carry through simulation,which provide the theoretics foundation to carry out physical model experiments.The result indicate Laval model is feasible,and the tonnage of ballast tanks mostly rest with the application mode of high pressure air.The tonnage of short circuit is twice more than the routine blowing in coequal terms to a certain submarine.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.811
Threshold uncertainty score0.274

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.268
Teacher spread0.251 · 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 designTheoretical or conceptual
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
Published2010
Admission routes1
Has abstractyes

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