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Record W2150634300 · doi:10.1680/gein.2008.15.2.72

Compaction effects on strains within profiled thermoplastic pipes

2008· article· en· W2150634300 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

VenueGeosynthetics International · 2008
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsQueen's University
Fundersnot available
KeywordsHigh-density polyethyleneGeotechnical engineeringCompactionMaterials scienceBendingThermoplasticGeosyntheticsPolyethyleneGeogridComposite materialGeologyReinforcement

Abstract

fetched live from OpenAlex

Results from laboratory tests are reported to establish how pipe deflections, strains and local bending are influenced by the selection of backfill soil and its placement for two profiled thermoplastic culverts. Lined-corrugated high-density polyethylene (HDPE) and poly vinyl chloride (PVC) pipes with a nominal inside diameter of 600 mm were tested in poorly graded sand and well-graded gravel backfills. The backfill was compacted using real compaction equipment and procedures, and then subjected to a maximum increase in vertical pressure of 200 kPa in a test cell that simulates deep burial. For the specific conditions tested, the largest deflections and strains were for the HDPE pipe when placed just above a rigid base and with uncompacted sand backfill placed below the springline, while local bending was greatest for the PVC pipe with well-compacted gravel backfill. A procedure is presented to account for the maximum local bending strain within a simplified design approach for profiled thermoplastic pipes using an empirical strain factor inferred from the measured results.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.543

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 head0.009
GPT teacher head0.203
Teacher spread0.194 · 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