MétaCan
Menu
Back to cohort

Quantifying Resistance of Reinforced Concrete Pipe Joints to Water Infiltration

2020· article· en· W3014936080 on OpenAlexaff
Lui Sammy Wong, Moncef L. Nehdi

Bibliographic record

VenueJournal of Pipeline Systems Engineering and Practice · 2020
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsWestern University
Fundersnot available
KeywordsInfiltration (HVAC)GasketHydrostatic testHydrostatic pressureJoint (building)Structural engineeringGeotechnical engineeringEnvironmental scienceEngineeringMaterials scienceMechanical engineeringComposite material

Abstract

fetched live from OpenAlex

Hydrostatic joint performance for infiltration is a key design requirement for a reinforced concrete pipe (RCP) to withstand in situ groundwater pressure. However, current standards and test methods adopted by RCP manufacturers do not adequately consider this requirement, leading to higher risk of leaky joints. Moreover, existing in-field evaluation methods conducted during pipe installation commissioning have several limitations. Although RCP joint leakage highly depends on the installation quality, both the ultimate capacity and operating resistance against infiltration of commonly used joints and gasket profiles are still unknown. The authors have recently developed a new test method to evaluate RCP joint performance against infiltration. This paper analyzes the data collected from 85 full-scale infiltration tests measuring the ultimate and operating capacity of RCP ranging from 600 to 1,200 mm in diameter. The analysis demonstrates that critical parameters including the joint gap, gasket mass, annular space influence ratio, and time-dependent behavior significantly affect the RCP resistance to infiltration. The large testing program confirms that the new test method is simple, robust, safe, and reliable for measuring the infiltration capacity of RCP joints. Thus, it can be considered for routine quality control testing.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.243
Teacher spread0.221 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Pipeline Systems Engineering and PracticeSame topicGeotechnical Engineering and Underground StructuresFrench-language works237,207