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Axial Stress-Strain Response of HDPE from Whole Pipes and Coupons

2011· article· en· W1964931304 on OpenAlexafffund
J. A. Cholewa, R.W.I. Brachman, Ian D. Moore

Bibliographic record

VenueJournal of Materials in Civil Engineering · 2011
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCreepHigh-density polyethyleneMaterials scienceStress (linguistics)Barrel (horology)PolyethylenePipeComposite materialStress relaxationUltimate tensile strengthModulusCylinder stressDeformation (meteorology)Forensic engineeringEngineering

Abstract

fetched live from OpenAlex

High-density polyethylene (HDPE) pipes are subjected to tensile stresses and strains in the axial direction during and after a pulled-in-place installation by horizontal directional drilling or pipe bursting. During these types of installation techniques, creep and stress relaxation are prevalent conditions acting on the pipe. Results from stress relaxation and creep experiments conducted on both whole HDPE pipe samples and coupons trimmed from a pipe’s wall are reported. Stress relaxation experiments were performed at axial strain levels of 3, 1, and 0.5%, and creep experiments were performed at stress levels of 8 and 4 MPa. The merit of testing whole pipe samples as opposed to simply testing coupons trimmed from the pipe wall is investigated by comparing the responses of the pipe samples and coupons. For the particular conditions tested, it was shown that coupons trimmed from the barrel of a pipe responded differently than the whole pipe barrel. In fact, the coupons appeared to exhibit a higher modulus than the whole pipe samples. However, the benefit of testing whole pipe samples is overshadowed by the relative ease with which experiments on coupons can be conducted.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.010
GPT teacher head0.191
Teacher spread0.181 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2011
Admission routes2
Has abstractyes

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