MétaCan
Menu
Back to cohort
Record W4386962999 · doi:10.3390/engproc2023043036

Optimal Extrusion Shape for Fabricating Aluminium Bridge Deck Using Assembly-Based Friction Stir Welding with Bobbin Tool

2023· article· en· W4386962999 on OpenAlexafffundabout
Amar Djedid, Marc Oudjène, Mario Fafard

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Welding Techniques Analysis
Canadian institutionsUniversité LavalKativik Regional Government
FundersMinistère des TransportsUniversité Laval
KeywordsBobbinExtrusionWeldingDeckFriction stir weldingMaterials scienceAluminiumButt jointButt weldingBridge (graph theory)Mechanical engineeringAluminium alloyComposite materialMetallurgyStructural engineeringEngineering

Abstract

fetched live from OpenAlex

This article presents an optimal extrusion geometry for fabricating a bridge deck. The profile of the extrusion enables the possibility of welding onto another extrusion through butt joints only. This type of welding joint is optimal in terms of both the ultimate resistance and the fatigue performance. Thus, the aluminium deck will be manufactured by welding these extrusions together through the bobbin tool friction stir welding process, resulting in a full-penetration weld, free of the kissing bond and the flash toe defects, and in which the thermal input and the stirring are symmetrical on both outer sides of the butt joint. Therefore, this geometry addresses the shortcomings of both the MIG and the conventional FSW processes and significantly increases the lifespan of the aluminium deck. This article will present the scientific and technical approach, based on the Canadian standard CSA S6:19, and will present an example of application on an aluminium/glued laminated timber bridge.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.159
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.035
GPT teacher head0.289
Teacher spread0.255 · 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.

Study designSimulation or modeling
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 routes3
Has abstractyes

Explore more

Same topicAdvanced Welding Techniques AnalysisFrench-language works237,207