Improving the Behavior of Steel Plate Shear Wall Using Double Infill Plates
Bibliographic record
Abstract
Steel Plate Shear Wall (SPSW) has indicated suitable performance in numerical studies by researchers as well as in past earthquakes. Although this system has a considerable advantage, it requires huge columns to resist stress due to the infill plate, and this is one of the main dilemmas relating to this system. Also, increasing the infill plate made the system form plastic hinges in the columns instead of the infill plate and beam. To solve this problem, herein, an innovative model of SPSW is proposed as an alternative to the traditional type of steel shear wall, namely the use of Double Infill Plates for SPSW (DIP-SSW). The use of DIP-SSW as a resistance system against lateral loads, also results in space savings. The present numerical finite element investigation was performed by parametric study and consideration of the nonlinear behavior of this system. The results of the parametric study have been addressed. Also, the results showed that the DIP-SSW has an excellent ductility factor and capability of energy absorption under lateral loads.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".