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Record W3178504275 · doi:10.1680/jgeot.19.p.091

Laboratory investigation of backfill erosion around rigid pipes with defective joints

2021· article· en· W3178504275 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

VenueGéotechnique · 2021
Typearticle
Languageen
FieldEngineering
TopicDam Engineering and Safety
Canadian institutionsQueen's University
Fundersnot available
KeywordsGeotechnical engineeringInternal erosionErosionInfiltration (HVAC)GeologyMaterials scienceLeveeComposite materialGeomorphology

Abstract

fetched live from OpenAlex

Water infiltration is one of the most significant underlying causes of deterioration in buried rigid pipes, which can bring about erosion voids in the backfill that will increase the severity of the soil loading and produce structural failures. Based on model tests, the effect on the erosion is examined for two infiltration scenarios involving a defective joint. Joint leakage is represented using idealised apertures across the invert. Monitoring of the mass flux of sand, the flow rate of water and the development of visible voids enabled the identification of three successive stages during infiltration erosion: initial leakage, primary erosion and then a metastable state. Initial voids occurred at the elevation near the air-entry head in the backfill, then extended downwards to the wide aperture, while the bridge formed in the narrow aperture limited further erosion and reduced the permeability. A practical framework was proposed and verified to predict the geometry of the void envelopes in the backfill for different experimental scenarios.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.475

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 head0.005
GPT teacher head0.178
Teacher spread0.172 · 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