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Record W4381827082 · doi:10.1201/9781003348030-196

Montreal metro blue line extension tunnels and caverns

2023· book-chapter· en· W4381827082 on OpenAlexaffabout
Mehdi Bakhshi, G. Maurel, R. Saghaee

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicUnderground infrastructure and sustainability
Canadian institutionsAecom (Canada)
Fundersnot available
KeywordsExtension (predicate logic)Line (geometry)GeologyEngineeringComputer scienceGeometryMathematics

Abstract

fetched live from OpenAlex

The development of the Montreal metro Line 5 also known as Blue Line Extension toward the northeast are located between the existing Saint-Michel station and Anjou. It consists of 6-km long double track tunnel, five new stations and seven auxiliary structures. Most of tunnel length (5.5 km) will be excavated by a 9.6 m diameter shielded rock TBM and supported by a precast segmental tunnel lining system. Based on the project master schedule, the five stations will be built first and then the TBM will skid through the already built stations. For the inter-station tunnels, the shielded rock TBM excavation method with segmental liner installation was selected based on the existing geotechnical challenges, evaluation of the project construction cost, schedule and risk, noise, and vibration. TBM will be fitted for probing and pre-excavation grouting to control water inflow into the tunnel during the excavation in fractured limestone and shale formation under the downtown of Montreal where lower rock quality and high water infiltration rates are anticipated. The latest development in segmental liner technology and the latest segmental liner design code ACI 533.5-20 were used for the design of the tunnel segmental liner of this project. The stations and auxiliary structures will be built using the controlled drill and blast method or roadheader. Two thin layers of shotcrete separated by a layer of spray-on membrane will be used as the initial and final liner of the underground stations and auxiliary structures resulting in significant construction cost and time savings. This paper presents major design aspects of the TBM tunnel and mined station caverns of this major project in Montreal, Canada.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.547
Threshold uncertainty score0.901

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0360.005

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 head0.012
GPT teacher head0.200
Teacher spread0.188 · 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 designNot applicable
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

Citations0
Published2023
Admission routes2
Has abstractyes

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