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Record W2742874039 · doi:10.1680/jgein.17.00018

Effect of brine on long-term performance of four HDPE geomembranes

2017· article· en· W2742874039 on OpenAlexafffund
R. Kerry Rowe, Mohammad Shoaib

Bibliographic record

VenueGeosynthetics International · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicLandfill Environmental Impact Studies
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of CanadaKillam Trusts
KeywordsGeomembraneHigh-density polyethyleneBrineGeosyntheticsMaterials scienceUltimate tensile strengthComposite materialGeotechnical engineeringPolyethyleneTensile strainResidual strengthChemistryGeology

Abstract

fetched live from OpenAlex

The performance of four 1.5 mm thick high-density polyethylene (HDPE) geomembranes (GMBs) (denoted MxA-15, MxC-15, MyE-15, and MyEW-15) immersed in a brine solution with 200,000 ppm total dissolved solids and a pH = 8.7 is presented for 4 years. Accelerated ageing experiments were conducted at 40, 65, 75, and 85°C for 4 years. It is shown that neither the Std-OIT nor HP-OIT had reached a residual value before physical degradation was observed, suggesting that the traditional three-stage concept for degradation did not apply when based on the values obtained (as is usual) through the entire GMB thickness. The time to nominal failure, based on a reduction of 50% of the initial value, was less than 4 years for all GMBs at temperatures ≥ 65°C. However, using the time at which the stress crack resistance (SCR), obtained from the single point notched constant tensile load (SP-NCTL) test, decreased to 50% of the minimum requirements of GRI-GM13, the times to nominal failure are greater than 20 years for at T ≤ 65°C for MyE-15.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score0.999

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 science0.0010.000
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 head0.011
GPT teacher head0.267
Teacher spread0.255 · 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.

Study designObservational
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

Citations24
Published2017
Admission routes2
Has abstractyes

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