Lateral Torsional Buckling Response of Compact I-Shaped Welded Steel Girders
Bibliographic record
Abstract
Recent studies investigating lateral torsional buckling suggest that North American steel design provisions may overestimate the bending resistance of welded girders that buckle laterally in the inelastic range. Furthermore, these provisions do not distinguish between rolled and welded members, but welded girders are widely suspected of possessing unfavorable residual stress distributions that may cause them to be more susceptible to lateral torsional buckling than their rolled counterparts. However, lack of sufficient supporting experimental test data may render existing analytically based assessments of the design equations inadequate. To address the paucity of physical testing, an experimental program was developed to determine the lateral torsional buckling resistance of full-scale I-shaped welded three-plate steel girders fabricated with current shop processes. This paper describes the development of the test program and a unique girder-stability test bed. Test results for seven girders, including measured initial geometric imperfections, load–displacement responses, and moment capacities, are then presented. A finite-element model of the test specimens, validated against the test data, is finally used to investigate the adequacy of the beam design provisions specified in the Canadian and US steel design standards. The results confirm that the current design equations can accurately predict the moment resistance of compact welded steel girders that fail in either the elastic or inelastic lateral torsional buckling mode.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".