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Record W2912133241 · doi:10.1002/pen.25058

A Refined One‐Slit‐Ring Method to Quantify Residual Hoop Stress in Chlorinated Polyvinyl Chloride Pipe—Application to Specimens After Immersion in Primer

2019· article· en· W2912133241 on OpenAlexafffund
Bingjun Chen, P.‐Y. Ben Jar, Pierre Mertiny, Robert Prybysh

Bibliographic record

VenuePolymer Engineering and Science · 2019
Typearticle
Languageen
FieldEngineering
TopicWelding Techniques and Residual Stresses
Canadian institutionsNational Institute for NanotechnologyUniversity of Alberta
FundersMitacsUniversity of Alberta
KeywordsResidual stressMaterials scienceCylinder stressChlorinated polyvinyl chlorideComposite materialPolyvinyl chloridePrimer (cosmetics)Finite element methodShell (structure)ChlorideStress (linguistics)Structural engineeringThermodynamicsPhysicsMetallurgy

Abstract

fetched live from OpenAlex

A refined one‐slit‐ring method is presented to characterize residual hoop stress distribution in pipe ring specimens of inhomogeneous cross section. Although the original one‐slit‐ring method enables determination of residual hoop stress distribution through slitting single ring specimen in the axial direction, its use is limited to specimens of uniform material properties. This work is to extend applicability of the method to ring specimens with a cross section of core–shell structure. Chlorinated polyvinyl chloride (CPVC) pipe is used in the study, and core–shell structure in its ring specimens is introduced through immersion in primer for 30 min. Analytical expression for the residual hoop stress distribution in these specimens is derived, and verified using finite element (FE) simulation which uses a temperature gradient field to generate stress so that diametrical change by the slitting is same as that measured experimentally. Results from the analytical expression agree well with those from the FE simulation, showing decrease of the residual hoop stress by the exposure to primer, and the extent of decrease depends on the drying time after the immersion in primer, to about half of its original value after 30 days of drying, and then remains relatively constant afterwards. POLYM. ENG. SCI., 59:E296–E309, 2019. © 2019 Society of Plastics Engineers

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.915

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.009
GPT teacher head0.251
Teacher spread0.242 · 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 designBench or experimental
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

Citations6
Published2019
Admission routes2
Has abstractyes

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