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Record W2607176226 · doi:10.11159/icsenm17.138

Lateral-Torsional Buckling of European Wide Flange I-Section Beams

2017· article· en· W2607176226 on OpenAlexvenueno aff
Tolga Yılmaz, Nevzat Kıraç, Turab Kilic

Bibliographic record

VenueProceedings of the World Congress on Civil, Structural, and Environmental Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsFlangeBucklingStructural engineeringSection (typography)EngineeringMaterials scienceGeologyComputer science

Abstract

fetched live from OpenAlex

Lateral torsional buckling is one of the main failure modes in which the beam experiences non-uniform twisting and buckling about its weak axis. This study intends to describe lateral-torsional buckling behavior of European wide flange I-section beams. An analytical model based on Ritz method is established for doubly-symmeric I section by considering load position. A compact closed form equation which can be used for calculation critical elastic lateral-torsional buckling load of Europen wide flange I-section (HEA, HEB, HEM profiles) is developed using analytical solutions and dimensionless buckling parameters. The effects of slenderness and loading positions on lateral-torsional buckling behavior of beams with wide flange are investigated. The present solutions are validated with 1D finite element solutions in which beams are modeled with their exact geometries. Good agreement between the analytical and numerical solutions is demonstrated. It is concluded that the lateral-torsional buckling load of European HEA, HEB and HEM beams can be determined by presented method and can be safely used in design procedures.

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)0.000
metaresearch head score (Gemma)0.000
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.178
Teacher spread0.173 · 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

Citations10
Published2017
Admission routes1
Has abstractyes

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Same venueProceedings of the World Congress on Civil, Structural, and Environmental EngineeringSame topicStructural Load-Bearing AnalysisFrench-language works237,207