Unstiffened Steel Plate Shear Wall Performance under Cyclic Loading
Bibliographic record
Abstract
In the last few decades, steel plate shear walls have been introduced as primary lateral load resisting elements in several buildings around the world. This paper presents research from a study on the performance of unstiffened thin steel plate shear walls for medium- and high-rise buildings. In this concept, the postbuckling strength of the panels is relied upon for most of the frame shear resistance, similar to the slender web of a plate girder. Experimental testing was conducted on two single- and one four-story steel shear wall specimens, under cyclic quasi-static loading. Each specimen consisted of a single bay with column-to-column and floor-to-floor dimensions of 900 mm, representing a quarter-scale model of a typical office building core. Identification of load-deformation characteristics and the stresses induced in the structural components were the primary objectives of the testing program. Good energy dissipation and displacement ductility capacities were achieved. Primary inelastic damage modes included yielding of the infill plates combined with column yielding in the single-panel tests and yielding of the columns for the multistory frame. The experimental results were compared with simplified tension field analytical models, based on recommendations in the Canadian code for limit-states design of steel structures. The models, in general, provided good predictions of the postyield strength of the specimens, with less satisfactory results for elastic stiffness calculations. From the experimental and analytical results, the adequacy of existing design guidelines were assessed.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".