A Shape Memory Alloy-Pendulum Damping System for Small Wild Goose Pagoda in Xi’an, China
Bibliographic record
Abstract
This paper aims to develop a system to control the vibrations of ancient pagodas without damaging their original appearance.Taking the Small Wild Goose (SWG) Pagoda (Xi'an, Shaanxi Province) as the target structure, the authors designed a shape memory alloypendulum damping system (SMA-PDS) based on the theory of pendulum damping and the super elasticity of the SMA.To verify the effect of the SMA-PDS, a 1:10 scale model was created for the SWG Pagoda, and subjected to shaking table tests with and without the SMA-PDS.The test results indicate that: the small and flexible system can be installed easily inside the pagoda to dampen seismic vibrations; the SMA-PDS greatly reduced the acceleration response at the top of the SWG Pagoda model; the reduction is particularly prominent (32.5%), when the SMA wires had a pre-strain of 3%; the SMA-PDS worked better in medium and large earthquakes than in small earthquakes.To sum up, this paper provides a novel damping system for seismic vibration in ancient pagodas, shedding new light on the energy dissipation, vibration control and reinforcement of similar ancient pagodas.
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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) | 0.001 | 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".