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Case Study of Pipeline Installation Using a Modified Guided Boring Method

2016· article· en· W2346128850 on OpenAlexafffund
Yaolin Yi, Leon F. Gay, Alireza Bayat, Mahmood Ranjbar

Bibliographic record

VenueJournal of Pipeline Systems Engineering and Practice · 2016
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTrenchless technologyPipeline (software)Pipeline transportEngineeringContext (archaeology)Civil engineeringPetroleum engineeringConstruction engineeringMarine engineeringMechanical engineeringGeology

Abstract

fetched live from OpenAlex

The Guided Boring Method (GBM), also referred to as Pilot Tube Microtunneling (PTMT), is a widely used trenchless technology for pipeline installation with grade precision. However, PTMT is not applicable in nondisplaceable soils, where it is unable to install pilot tubes. In this context, this study introduces a Modified Guided Boring Method (MGBM) for pipeline installation in nondisplaceable soils. The guided boring is performed without the use of pilot tubes and coupled with hollow-center augers for target site path. This study presents the first pipeline installation project performed with the MGBM, and the case study results confirm that this technology can successfully install pipelines with grade precision in hard ground conditions. This study also assesses the MGBM’s economic performance using the project’s productivity and risk measurements, which can be used to facilitate budget and time estimates of future projects.

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)0.002
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.630
Threshold uncertainty score0.775

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.043
GPT teacher head0.310
Teacher spread0.267 · 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

Citations1
Published2016
Admission routes2
Has abstractyes

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