Shake Table Testing of Shear-Controlling Rocking Isolation Podium System for Mitigating Higher-Mode Effects in Tall Buildings
Bibliographic record
Abstract
This paper presents shake table testing results of a scaled tower specimen equipped with a novel self-centering shear and moment dual-base mechanism system, termed the shear-controlling rocking isolation podium (SCRIP) system, for mitigating higher-mode effects in tall buildings. The scaled shake table specimen of the SCRIP system consists of a shear mechanism that controls base shear demands through the lateral response of a base podium supported by rocking columns below and friction braces in the periphery, in addition to a free-rocking mechanism above the base podium to limit the base overturning moment demands of the tower. Both mechanisms are designed to exhibit full self-centering capabilities. There were 220 shake table tests performed using two suites of ground motion (GM) excitations with increasing amplitudes from 50% to 150% in increments of 25%. The scaled SCRIP system was shown to reliably control both the peak base shear and overturning moment demands close to the design values even as the excitation amplitudes were increased. Seismic demands along the height of the tower above the SCRIP system were also well controlled. Negligible changes in the lateral resistance of the scaled SCRIP system were observed throughout the shaking table test program with no apparent damage or measured residual deformations. The bidirectional capability of the scaled SCRIP system was also experimentally demonstrated through GM excitations applied diagonally with respect to the system’s two principal horizontal directions. In addition, these results experimentally verified the concept of limiting both shear and overturning moment at the base of a slender structure to control the seismic demands and associated higher-mode effects along the height of the structure.
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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 | 0.000 | 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".