Lateral-Torsional Buckling of European Wide Flange I-Section Beams
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".