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Record W4396528120 · doi:10.1520/gtj20220226

Development of Testing Procedures to Study the Impact of Erosion Voids on Buried Pipes

2024· article· en· W4396528120 on OpenAlexafffund
Oliver Kearns, Ian D. Moore, Neil A. Hoult, Tyler Monteith

Bibliographic record

VenueGeotechnical Testing Journal · 2024
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of CanadaOntario Ministry of Research, Innovation and Science
KeywordsGeotechnical engineeringErosionGeologyInternal erosionForensic engineeringEngineeringGeomorphology

Abstract

fetched live from OpenAlex

ABSTRACT The recently commissioned Deep Burial Simulator facility at Queen’s University allows for a water table to be raised and lowered within a test pit. The 3 m wide, 5 m long, and 4.6 m deep pit uses standpipes to supply water to the system and to control the elevation of the water table. In the current work, procedures are developed to create erosion voids adjacent to two different buried pipe specimens that initially have intact soil support conditions—tests to investigate how the volumes and shapes of those erosion voids develop. The first specimen was a two-segment reinforced concrete pipe sample with a nominal inner diameter of 825 mm and the second was a 900 mm diameter circular corrugated steel pipe. The erosion voids were created from water and soil infiltration into each of the structures through simulated defects: a leaking joint between the two pipe segments in the reinforced concrete pipe test and areas of complete wall loss along the haunch positions in the corrugated steel pipe test. The erosion voids were created from multiple infiltration events and the final geometry of all voids was captured by injecting polyurethane expanding foam into the void space before the structure was exhumed. An erosion void with an approximate total volume of 0.02 m3 was created beside the reinforced concrete pipe specimen and multiple larger erosion voids with volumes around 0.2 m3 were created beside the corrugated steel pipe specimen.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.275
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.288
Teacher spread0.253 · 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 designSimulation or modeling
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

Citations2
Published2024
Admission routes2
Has abstractyes

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