Bibliographic record
Abstract
One of the analytical models,namely the Strip Model(SM) developed by Thorburn in 1983,was recommended to analyze unstiffened steel plate shear walls(USPSW) in CAN/CSA S16-01 and AISC.Some results showed that the SM tended to underestimate both the ultimate capacity and the initial stiffness.In order to obtain a more accurate prediction of the overall behavior of USPSW,the SM was refined and renamed Modified Strip Model(MSM) by Alberta University in 2005.However,the applicable region for neither SM nor MSM was addressed regarding the slenderness ratio of the wall.The results obtained in this paper indicate neither the SM nor the MSM can be regarded as a reasonable model since neither of them is able to well describe the behavior of the USPSW with arbitrarily varying slenderness ratio.A new analytical model,namely the Unified Strip Model(USM) considering the combination of the pure shear and pure tension fields,is proposed in this paper,and the ratios of true shear and tension field action vary in accordance to the thickness of the wall.It is then verified that the USM gives a better prediction of overall behavior,including the initial stiffness,elastic frame force and hysteresis loops for USPSW than other models,meanwhile the vagueness of applicable scopes which exists in the other models is overcame.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".