PLASTIC DESIGN AND TESTING OF LIGHT-GAUGE STEEL PLATE
Bibliographic record
Abstract
In this paper, the strip model developed by others and implemented in a Canadian Standard to model steel plate shear walls (SPSW) is used to develop, investigate, and quantify, through plastic analysis, the various possible collapse mechanisms of SPSW. Comparisons of experimentally obtained ultimate strengths of steel plate shear walls and those predicted by plastic analysis are given and reasonable agreement is observed. Modifications are proposed to a section of an existing codified procedure for the design of steel plate walls which is shown could lead to designs with less-than-expected ultimate strength. In addition to the above, this paper also describes the results of an experimental study to determine the feasibility of light-gauge SPSW for use in the seismic retrofit of buildings. Three specimens were constructed and tested under quasi-static loading, one using a corrugated infill and epoxy connection to the surrounding frame, one using a flat infill with an epoxy connection to the surrounding frame, and one using a flat infill with a welded connection to the frame. The flat infill with the welded connection reached a ductility ratio of 12 and had substantially superior behavior when compared to the other two specimens.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 | 0.001 |
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".