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Record W1977903840 · doi:10.1115/pvp2013-97710

A Technical and Economic Comparison of Raised Face Versus Ring Joint Flanges

2013· article· en· W1977903840 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEngineering Structural Analysis Methods
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsPipingFlangeConstructabilityJoint (building)Face (sociological concept)Strengths and weaknessesPoint (geometry)Computer scienceEngineeringRisk analysis (engineering)Construction engineeringCivil engineeringBusinessMechanical engineeringSystems engineeringMathematics

Abstract

fetched live from OpenAlex

On new construction projects, designers are frequently faced with the choice of whether to use raised face or ring joint flanges for piping systems. Often, decisions are made based on flange types used in the past, without due consideration for the merits of either style. On major piping projects, the decision can have significant and far reaching impacts for the owner of the facility, from a cost, constructability, and operational point of view. The authors of this paper studied several recent projects in North America and Europe and performed a technical comparison of the strengths and weaknesses of each style of flange. The authors also performed a comprehensive estimate of the cost differential between using the different styles of flanges. The provision of both technical and economic data in one paper is intended to provide a resource of data that designers need to make an informed decision about which style of flange to use.

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.

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 score0.437
Threshold uncertainty score0.335

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 head0.029
GPT teacher head0.283
Teacher spread0.254 · 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

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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