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Jacking Force Analysis of Pipe Installation Using a Modified Guided Boring Method

2017· article· en· W2707898058 on OpenAlex
Yaolin Yi, Md. Tareq Hossain Khondoker, Alireza Bayat, Mahmood Ranjbar

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Pipeline Systems Engineering and Practice · 2017
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Alberta
KeywordsJackingLateral earth pressureEngineeringGeotechnical engineeringField (mathematics)Structural engineeringMarine engineering

Abstract

fetched live from OpenAlex

The modified guided boring method (MGBM) is a new pipe installation method used in hard ground, where a conventional guided boring method is not applicable. Estimation of the required jacking force for pipe installation is critical for the design of MGBM projects; however, no such study has previously been performed. Hence, this paper presents a study on the jacking force estimation of pipe installation using MGBM. First, the field data of jacking force during the pipe installation stage of an MGBM project in Edmonton, Canada, was collected and analyzed. Second, three commonly used jacking force estimation models developed for microtunneling or pipe jacking installation were adapted to calculate the jacking force for this MGBM project, and the results were compared with the field data. The comparison indicated that an adapted model overestimated the field data. When the passive earth pressure was used as the face pressure, another adapted model yielded a close estimation to the field data, and a third model slightly underestimated the field data.

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.

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)0.002
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 score0.883
Threshold uncertainty score0.836

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.038
GPT teacher head0.322
Teacher spread0.284 · 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