Seismic design and performance of \nYielding Shear Panel Device
Bibliographic record
Abstract
Yielding shear panel device (YSPD) is a metal yielding passive energy dissipation device that utilizes the inelastic shear deformation capability of a steel plate. The device is made of a steel plate welded inside a square hollow section (SHS) to absorb seismic energy. It showed stable hysteresis response in the previous experiments. It is inexpensive and also simple to manufacture and install in a seismic force resisting system. Research on yielding shear panel device is still in the initial stage and a significant amount of research is needed before it can be adopted by the engineering society. The objective of this research is twofold: first, to study the behavior of yielding shear panel as a device and then, to evaluate the performance of lateral load resisting system equipped with YSPD. A nonlinear finite element model which includes both material and geometric nonlinearities is used for this study. The finite element model of the YSPD device is validated by comparing the results from an experimental program. Excellent correlation between the test results and the finite element analysis results is observed. With the validated finite element model, detailed parametric study has been done to study the behavior of the YSPD devices of different configurations. The model is further validated for a frame equipped with YSPD using the results from a mathematical model published in the literature. This study also evaluates the performance of a 4-story building frame equipped with YSPD when the device is used for retrofitting. Seismic design of a 2-story lateral load resisting frame with YSPD has been done by direct displacement based design method. The seismic performance of the designed building has been verified under spectrum compatible seismic records for Vancouver. Nonlinear seismic analysis shows that YSPDs, in a high seismic region, behave in a stable and ductile manner. It has also been observed that the device absorbs the seismic energy and deforms in shear and effectively reduces the deformation of the structure, which confirms the intended design philosophy of YSPD device. An analytical approach has been developed to estimate fundamental period of the frames with YSPD. A series of frames with YSPD devices of different geometry are designed and analysed to estimate the fundamental period. It has been observed that the fundamental period obtained from finite element analysis can be well predicted by the proposed analytical model.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".