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Record W2051200226 · doi:10.1139/l02-071

User cost savings in eliminating pavement excavations through employing trenchless technologies

2002· article· en· W2051200226 on OpenAlexvenueaboutno aff
Susan Tighe, Mark A. Knight, D Papoutsis, V. Rodríguez, Cliff S. Walker

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2002
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsnot available
Fundersnot available
KeywordsTrenchless technologyExcavationEngineeringTrenchPipeline transportPipeline (software)Civil engineeringPavement engineeringTransport engineeringAsphaltGeotechnical engineering

Abstract

fetched live from OpenAlex

When a pipeline is installed under flexible pavement structures using open excavation and fill methods, the excavation can result in premature pavement deterioration due to difficulties associated with trench site restoration and soil and asphalt compaction. In developed areas, trenchless construction methods have become a popular alternative to open trench excavation because of reduced surface disruptions and reinstatement costs, a shorter construction period, and significantly reduced traffic delay costs associated with construction by saving time in construction operations. This paper summarizes a recent study that examined how pipeline installations on 1- and 7-year-old Ontario municipal collectors and minor arterial roads impact the 30-year life cycle of a pavement in terms of performance, future maintenance costs, and user-delay costs. Study results indicated that (1) approximately 30% reduction in pavement life can be expected once an excavation is made in a road; (2) increased maintenance and rehabilitation costs for excavating 1-year-old pavement were determined to be approximately Can$146/m 2 , and the costs for excavating 7-year-old pavement vary from Can$85 to $140/m 2 ; and (3) the use of trenchless technology with good construction practices has the potential to significantly reduce road maintenance and rehabilitation costs and user-delay costs.Key words: pavement performance, open excavation, trenchless technologies, user-delay costs.

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 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 score0.508
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.014
GPT teacher head0.193
Teacher spread0.179 · 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

Citations39
Published2002
Admission routes2
Has abstractyes

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