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Record W610655545

HPC Deck Panels for Jacques Cartier Bridge

2005· article· en· W610655545 on OpenAlexaboutno aff
Adel R. Zaki, Bernard Breault

Bibliographic record

VenueHPC Bridge Views · 2005
Typearticle
Languageen
FieldEngineering
TopicConcrete Corrosion and Durability
Canadian institutionsnot available
Fundersnot available
KeywordsPrecast concreteDeckBridge (graph theory)Bridge deckDurabilityStructural engineeringSlabEngineeringPrestressed concreteForensic engineeringGeotechnical engineeringCivil engineeringComputer science
DOInot available

Abstract

fetched live from OpenAlex

This paper describes how the reconstruction of the Jacques Cartier Bridge in Montreal, Canada, involved more than 645,800 sq ft (60,000 sq m) of bridge deck and made extensive use of precast, prestressed, high performance concrete (HPC) deck panels. This case study demonstrates a good example of the benefits of using a precast deck replacement method to rapidly reconstruct a highly durable deck while maintaining normal rush hour traffic. The 1.7-mile (2.7-km) long bridge with five traffic lanes carries more than 43 million vehicles every year, making it one of the busiest bridges in North America when considering traffic density per lane. After more than 70 years of operation, the concrete deck slab, support beams, and many other bridge deck components had suffered severe damage and had thus reached their useful service life. In-depth investigations confirmed that major reconstruction of the deck was required. The new bridge deck is made of precast HPC panels, which form a modular multistem integral deck system that, after being installed on the bridge, is transversely and longitudinally post-tensioned to provide high durability. Specified concrete compressive strength was 8700 psi (60 MPa) at 28 days.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.933

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)0.0000.000

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 head0.067
GPT teacher head0.289
Teacher spread0.222 · 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 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
Published2005
Admission routes1
Has abstractyes

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