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Record W7019221391

Field performance of water mains buried in expansive soil

2006· article· en· W7019221391 on OpenAlexvenueno aff

Bibliographic record

VenueNPARC · 2006
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsnot available
Fundersnot available
KeywordsSoil waterExpansive clayTrenchPore water pressureWater contentInstrumentation (computer programming)BreakageDisplacement (psychology)Settlement (finance)
DOInot available

Abstract

fetched live from OpenAlex

Water mains buried in expansive soils are often subjected to severe distress subsequent to installation. As the soils go through wet and dry periods, the soils swell and shrink. Water mains buried in the soils move with the soils. Excessive stresses may be induced due to uneven movement of the soils along the water mains, impairing the performance of or even breaking the water mains. Field monitoring is an important means to understand the soil behaviour and its interaction with water mains. For this purpose, field instrumentation was successfully installed to monitor the performance of a section of water main placed in an older area of Regina where frequent pipe breakage has been observed in recent years. The instrumentation included sensors to measure pipe wall strains, pipe displacement, in situ soil moisture content, soil pressure and temperature in the soil backfill and native soil around the backfill. The measurements from the sensors during the first 3 months were analyzed and the results are presented in this paper. Preliminary results indicate that the water contents in the trench backfill tended to decrease due to water drainage. The pipe initially bent downward with the mid span portion of the section having very high displacement and bending strain. The results also show that the average in situ longitudinal stress at the mid-point of the pipe section was higher than the stresses at two locations close to the joints of the pipe, probably due to soil friction effect. Some theoretical predictions agree fairly well with or fall within the measurement ranges.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0010.000

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 head0.003
GPT teacher head0.165
Teacher spread0.162 · 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 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

Citations2
Published2006
Admission routes1
Has abstractyes

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