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Record W7027634887

Développement d'une poutre de pont précontrainte en béton renforcé de fibres avec dalle intégrée

2023· other· fr· W7027634887 on OpenAlexaboutno aff

Bibliographic record

VenuePolyPublie (École Polytechnique de Montréal) · 2023
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsExpansion jointPublic workBuilding industry
DOInot available

Abstract

fetched live from OpenAlex

RÉSUMÉ: «RÉSUMÉ: La durabilité des ponts urbains de la Ville de Montréal est limitée, principalement à cause de la corrosion des aciers d’armature (Ministère des transports et de la mobilité durable, 2022). De plus, le dégagement en hauteur est trop faible sous plusieurs ponts, ce qui peut être à l’origine d’un endommagement précoce du talon des poutres du pont à cause d’impact avec des camions (Cordoni, 2015; Le Journal de Montréal, 2021). Enfin, les travaux de réparation en milieu urbain sont souvent complexes et coûteux (Duchesneau et al., 2011). Le but de ce projet est de proposer une solution de remplacement aux poutres de pont endommagées de la ville de Montréal, partenaire industriel de ce projet, soit de fournir un système de construction de tablier très rapide d’installation plus compact pour augmenter le dégagement vertical sous les ponts et durable. La solution proposée est un tablier composé de poutres en T précontraintes en Béton Fibré à Hautes Performances (BFHP) avec dalle intégrée, et reliées par un joint longitudinal en Béton Fibré à Ultra hautes Performances (BFUP). Le BFHP possède une grande ductilité en compression, et une très grande ductilité en traction (Boulekbache et al., 2009; Charron, 2021). Ses très bonnes performances mécaniques permettent de diminuer la quantité d’armatures utilisée dans une poutre (Cordoni, 2015; Dhonde et al., 2005). De plus, l’excellent contrôle de la fissuration fourni par les fibres augmente fortement sa durabilité (Charron & Desmettre, 2013). En outre, la précontrainte permet d’augmenter les performances mécaniques des poutres en optimisant la répartition des contraintes (Picard, 2001). L’utilisation de BFHP dans des poutres précontraintes permet d’augmenter sensiblement la résistance en flexion des poutres (Li et al., 2020; Padmarajaiah & Ramaswamy, 2004; Thomas & Ramaswamy, 2006) et d’augmenter grandement leur résistance en cisaillement (De Broucker, 2013; Massicotte et al., 2014; Metje & Leutbecher, 2021; Thomas & Ramaswamy, 2006) et leur ductilité (Cuenca & Serna, 2013), tout en conservant les excellentes performances mécaniques procurées par la précontrainte.» ABSTRACT: «ABSTRACT: The durability of urban bridges in the City of Montreal is limited, mainly due to corrosion of the reinforcing steels (Ministère des transports et de la mobilité durable, 2022). In addition, height clearance is too low under many bridges, which can lead to early damage to the bottom flange of bridge girders due to impact with trucks (Cordoni, 2015; Le Journal de Montréal, 2021). Finally, repair work in urban environments is often complex and expensive (Duchesneau et al., 2011). The aim of this project is to propose a solution to the City of Montreal to replace damaged bridge girders, namely to provide a deck construction system that is very fast to install, more compact to increase clearance under bridges and durable. The proposed solution is a deck composed of prestressed T-beams in High Performance Fiber Reinforced Concrete (HPFRC) with an integrated slab and connected by a longitudinal joint in Ultra High Performance Fiber Reinforced Concrete (UHPFRC). HPFRC is ductile in compression, and highly ductile in tension (Boulekbache et al., 2009; Charron, 2021). Its excellent mechanical performance makes it possible to reduce the amount of reinforcement used in a beam (Cordoni, 2015; Dhonde et al., 2005). What's more, the excellent control of cracking provided by the fibers greatly enhances its durability (Charron & Desmettre, 2013). Moreover, prestressing enhances the mechanical performance of beams by optimizing stress distribution (Picard, 2001). The use of HPFRC in prestressed beams slightly increases the flexural strength of beams (Li et al., 2020; Padmarajaiah & Ramaswamy, 2004; Thomas & Ramaswamy, 2006) and greatly increases their shear strength (De Broucker, 2013; Massicotte et al., 2014; Metje & Leutbecher, 2021; Thomas & Ramaswamy, 2006) and ductility (Cuenca & Serna, 2013), while retaining the excellent mechanical performance provided by prestressing.»

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: Methods · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.011
GPT teacher head0.249
Teacher spread0.238 · 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
GenreMethods

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 routes1
Has abstractyes

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