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Record W2028590968 · doi:10.1002/eqe.447

Seismic retrofit of George Massey Tunnel

2005· article· en· W2028590968 on OpenAlexafffundabout
Peter Taylor, Hisham Ibrahim, Dan Yang

Bibliographic record

VenueEarthquake Engineering & Structural Dynamics · 2005
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsBuckland & Taylor (Canada)
FundersUniversity of British ColumbiaUniversity of Toronto
KeywordsGeotechnical engineeringConsolidation (business)LiquefactionCentrifugePrecast concreteGeologySeismic retrofitEngineeringCivil engineeringStructural engineeringReinforced concrete

Abstract

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Abstract The 629 m long immersed George Massey Tunnel passes under the south arm of the Fraser River near Vancouver, British Columbia. The tunnel was completed in 1959. Based on current seismic design standards, the precast concrete structure is grossly under‐reinforced in the longitudinal direction. Buckland & Taylor Ltd was retained by the Ministry of Transportation of British Columbia to conduct a seismic assessment and final design for the seismic safety retrofit of the tunnel. A number of vulnerabilities were identified including soil liquefaction in the loose jetted sand and native deposits underneath the tunnel, resulting in tunnel flotation, large differential lateral displacements, and post‐liquefaction consolidation settlements, subsequently imposing large tensile and compressive forces in the weak tunnel joints. The situation of cracking and water leakage potentially creates a life hazard in the event of a major earthquake. During the final design, detailed non‐linear dynamic geotechnical analyses were conducted to study the effects of soil liquefaction and to evaluate ground improvement measures. Detailed structural analyses were also conducted considering different proposed retrofit schemes to enable the tunnel section to handle the soil displacement demands. Centrifuge model testing was used to calibrate and verify the liquefaction characteristics predicted by the numerical models and the proposed densification and gravel drainage techniques. Field testing of gravel drains was performed to collect data on the performance of different types of gravel drains. Copyright © 2005 John Wiley & Sons, Ltd.

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)0.000
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: Empirical
Teacher disagreement score0.981
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.003
GPT teacher head0.177
Teacher spread0.173 · 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

Citations27
Published2005
Admission routes3
Has abstractyes

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