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Record W2767906468 · doi:10.1680/jgein.17.00037

Effects of a very low pH solution on the properties of an HDPE geomembrane

2017· article· en· W2767906468 on OpenAlexaff
L. Zhang, Abdelmalek Bouazza, R. Kerry Rowe, John Scheirs

Bibliographic record

VenueGeosynthetics International · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsGeomembraneHigh-density polyethyleneAgeingCrystallinityPolyethyleneMaterials scienceUltimate tensile strengthAccelerated agingAntioxidantMelt flow indexLow-density polyethyleneComposite materialChemistryOrganic chemistryPolymerMedicine

Abstract

fetched live from OpenAlex

The effects of a very low pH solution (pH = 0.5) on a high-density polyethylene (HDPE) geomembrane (GMB) are evaluated using accelerated ageing tests. The GMB specimens were incubated at 65°C, 75°C, and 85°C for up to 19 months. They were periodically removed from the immersion media and tested for retained chemical, mechanical and physical properties. The antioxidant depletion rates obtained from standard oxidative induction time (Std-OIT) tests were consistently lower than that obtained from high-pressure oxidative induction time (HP-OIT) tests at the three temperatures. This difference led to two substantially different estimates of antioxidant depletion time. The relationship between Std-OIT and HP-OIT was non-linear. It indicates the importance of using both methods to assess antioxidant depletion time of GMBs. Crystallinity, melt flow index (MFI) and tensile test results show that physical ageing has occurred, but no significant changes in physical properties due to oxidative degradation were observed after 19 months’ immersion.

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 score0.116
Threshold uncertainty score0.415

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.013
GPT teacher head0.223
Teacher spread0.210 · 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

Citations9
Published2017
Admission routes1
Has abstractyes

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