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Record W7055381348

Conception parasismique de culées préfabriquées

2022· other· fr· W7055381348 on OpenAlexaboutno aff

Bibliographic record

VenuePolyPublie (École Polytechnique de Montréal) · 2022
Typeother
Languagefr
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsnot available
Fundersnot available
KeywordsBridge (graph theory)Factory (object-oriented programming)Road constructionPrecast concreteWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

RÉSUMÉ: Le réseau routier québécois est bien développé, mais plusieurs des structures de ponts le composant sont vieillissantes et nécessitent maintenant des réparations ou un remplacement. Par contre, les particularités propres au Québec, telles que l'hiver, l'achalandage des routes et le risque sismique, rendent la conception et les travaux de construction ou de réfection plus complexes. La construction accélérée des ponts (CAP) se présente alors comme une option prometteuse pour résoudre certaines des problématiques de la construction de ponts au Québec. Il s'agit d'une technique de construction employant des éléments préfabriqués en usine, qui sont ensuite assemblés en chantier. La CAP est utilisée depuis plusieurs décennies pour certains projets d'envergure, mais l'est encore très peu pour les ponts courants. Lorsqu'elle est bien réalisée, elle permet une meilleure qualité, performance et durabilité des éléments structuraux, ainsi que deQuebec's road network is well developed, but many of its bridge structures are aging and now require repairs or replacement. On the other hand, the specific characteristics of Quebec, such as winter, road traffic and seismic risk, make the design, construction or rehabilitation work more complex. Accelerated bridge construction (ABC) presents a promising option to solve some of the problems of bridge construction in Quebec. This construction technique uses factory precast elements which are then assembled on site. ABC has been used for many decades for some large-scale projects but is not yet used for common bridge construction. When appropriately done, it allows for better quality, performance, and durability of structural elements, as well as saving time and money. Studies carried out over the past twenty years at Polytechnique Montréal have shown the potential of ultra-high-performance fibre reinforced concrete (UHPFRC) in the seismic rehabilitation of bridge piers and the construction of precast piers. UHPFRC is a material which achieves exceptional performances, especially in tension, by adding steel fibres to the concrete matrix. The project therefore aims to develop precast abutments with a UHPFRC connection between the stem wall and the footing, which can be used in the context of ABC. Two precast stem wall concepts were proposed following the previous phases of the project: an option with 140 mm thick walls, filled with concrete during construction on site, and an option with 225 mm thick walls, filled with a non-participating material. The objectives of this project are the numerical study of the abutment behaviour for the proposed concepts, and the experimental study of lap splice connections between the stem wall and the footing.»s économies de temps et d'argent. ABSTRACT: ABSTRACT:

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.390
Threshold uncertainty score0.776

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0040.004
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.001

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 head0.256
Teacher spread0.244 · 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 designBench or experimental
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
Published2022
Admission routes1
Has abstractyes

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