Elastic Lateral Torsional Buckling Resistance of I-Beams Strengthened with Side Plates
Bibliographic record
Abstract
The present study investigates the elastic lateral torsional buckling capacity for steel I-beams strengthened with side plates. The provision of side plates near the ends of a simply supported beam is intended to largely suppress end warping deformations, thus increasing beam lateral torsional buckling resistance. However, a shell-based finite-element investigation in the present study shows that such strengthening detail increases the beam’s susceptibility to distortional lateral buckling, a phenomenon that partially offsets the capacity gained by providing side plates, and complicates the quantification of the net gain achieved. The study first proposes practical details to suppress distortional effects. An approximate technique to quantify the critical moment for the strengthened system is then developed founded on an energy-based approximation in conjunction with dimensional analysis. A parametric study is next conducted to provide a database of runs to serve as a basis to develop design coefficients. The study culminates in a simple and reliable design-oriented critical moment equation for beams strengthened with side plates.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".