MétaCan
Menu
Back to cohort
Record W4280609391 · doi:10.18273/revuin.v21n2-2022012

Pandeo crítico de vigas esbeltas con rigidizadores tipo delta diseñadas con AASHTO sometidas a cargas concentradas

2022· article· es· W4280609391 on OpenAlexaff
Carlos Graciano, Nelson Loaiza, Miguel González, David Orozco, Euro Casanova

Bibliographic record

VenueRevista UIS Ingenierías · 2022
Typearticle
Languagees
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPhysicsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

En la actualidad existen diferentes opciones para incrementar la resistencia última de vigas esbeltas sujetas a cargas concentradas. Algunas de estas alternativas incluyen el uso de rigidizadores transversales cercanamente espaciados y la utilización de rigidizadores longitudinales. Sin embargo, estudios recientes han demostrado que la resistencia también mejora mediante el uso de rigidizadores tipo delta, los cuales consisten en dos láminas soldadas entre alma de la viga y la aleta cargada. Este trabajo se enfoca en el estudio del comportamiento de pandeo elástico de vigas esbeltas diseñadas con normas AASHTO con rigidizadores tipo delta sometidas a carga concentrada. El estudio se realiza a través del análisis de autovalores usando el método de elementos finitos. Se realiza un análisis paramétrico para determinar la influencia de diferentes variables geométricas sobre el coeficiente de pandeo de la viga. Finalmente, a partir de los resultados obtenidos se sugieren algunas recomendaciones de diseño.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

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 communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.009
GPT teacher head0.238
Teacher spread0.229 · 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 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueRevista UIS IngenieríasSame topicStructural Load-Bearing AnalysisFrench-language works237,207