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Record W2319488291 · doi:10.1061/40475(278)82

Subsurface Ground Movements Associated with Trenchless Pipe Replacement Methods

2000· article· en· W2319488291 on OpenAlexafffundabout
Jason S. Lueke, Samuel T. Ariaratnam

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsUniversity of Alberta
FundersNational Research Council Canada
KeywordsTrenchless technologyPipeline transportPipeline (software)Process (computing)Civil engineeringExcavatorInstallationEngineeringElectrical conduitForensic engineeringComputer scienceMechanical engineering

Abstract

fetched live from OpenAlex

As we enter the new millenium, our nation is facing a crisis resulting from underground infrastructure that are functioning far beyond any reasonably anticipated design life and require renewal to mitigate deterioration. Maintaining this large network of underground sewer, water, and gas pipelines is difficult and costly. The problem is compounded by the significant impacts that a major repair or rehabilitation project can have on the daily life, traffic, and commerce of the area served by and along the pipeline in question. Trenchless pipe replacement, or pipe bursting, provides a trenchless alternative for the renewal of underground infrastructure. The process includes various static, hydraulic, and pneumatic methods of breaking an existing pipe and simultaneously installing, by pulling or pushing, a new pipe of equal or larger diameter. One of the greatest challenges facing acceptance of this renewal option is the issue of its effects on adjacent buried infrastructure. This paper describes a unique approach for monitoring subsurface ground movements during the pipe bursting process to assist planners and contractors in evaluating the risk of potential damage to surrounding structures. Initial field testing of this procedure on the Millstone Sanitary Trunk Sewer project in the City of Nanaimo, British Columbia is described. It is anticipated that adoption of this trenchless method of urban renewal will increase, as more techniques are developed to quantify the risks associated with soil movements.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.237
Threshold uncertainty score1.000

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)0.0010.000

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 head0.009
GPT teacher head0.238
Teacher spread0.229 · 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.

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

Citations7
Published2000
Admission routes3
Has abstractyes

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