Behaviour of square hollow structural steel braces with end connections under reversed cyclic axial loading
Bibliographic record
Abstract
The hysteretic behaviour of nine square hollow structural steel (HSS) sections with gusset plate end con nections subject to inelastic cyclic loading has been examined by an experimental investigation. Brace slenderness ratio, width to thickness ratio, and to a lesser extent, the end connection were identified as the key parameters in the tests. It was shown that the effective slenderness ratio is the most important parameter governing the hysteretic behaviour. The out-of-plane deflection of the brace can be accurately calculated using a simplified geometrical model or a model calibrated against the test results. Reduced compressive capacity as specified by the current Canadian Standards Asso ciation (CSA) standard was nonconservative for the specific loading sequence employed in this series of tests. Quantification of the energy dissipation proved that the gusset plates account for a small percentage of the total energy dissipated. The experimental fracture life of the specimens proved to be most affected by the width to thickness ratio and the effective slenderness ratio. An empirical equation is proposed to more accurately determine the theoretical fracture life of an HSS brace.Key words: brace, hysteresis, steel, hollow structural section, cyclic, end connection, fracture, energy dissipation, compressive capacity, effective slenderness ratio.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".