Design of Multiple Quasi-Zero Stiffness Isolators Based on a Shallow Arch
Bibliographic record
Abstract
The quasi-zero stiffness (QZS) structure is capable of achieving a satisfactory low-frequency vibration isolation effect. However, the majority of current QZS structure designs are complex, comprising a single working load and a relatively limited QZS zone. This paper presents the development of a multi-quasi-zero (MQZS) stiffness vibration structure based on a circular shallow arch structure. The static compression of the unit structure was studied in detail using the theoretical derivation, and finite element simulation, which can achieve multiple loads and a big QZS zone using the symmetrical and orthogonal connections, respectively. An analytical solution for the transfer rate was derived by solving the nonlinear dynamic equations of the system using the Harmonic Balance Method (HBM). In comparison to the conventional QZS system and the linear system, the vibration isolation frequency of the MQZS system is reduced by 75%, and the vibration transmissibility is reduced by 22[Formula: see text]dB at the same frequency. Furthermore, the findings based on 3D printing demonstrate that the designed MQZS isolator exhibits an effective low-frequency vibration isolation effect and has promising potential for meeting the requirements of integration and lightweight design.
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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 | 0.001 |
| Open science | 0.001 | 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".