A New Fractional-Order Constitutive Model and Rough Design Method for Fluid-Type Inerters
The understanding and application of fluid-type inerters by scholars have been on the rise. However, due to their intricate multiphase mechanical properties, existing models still have considerable room for improvement. This study presents two fractional-order models and conducts parameter identification by integrating them with classical experimental data. The first model is an independent fractional-order model. In comparison with traditional models, it demonstrates significantly higher fitting accuracy in frequency regions beyond the ultra-low frequency range. The second model is a segmented fractional-order model, which determines segments according to critical frequencies. Although this model enhances the overall fitting accuracy, it also leads to increased complexity. To tackle this complexity issue, a rough design strategy is proposed to minimize the critical frequency. Research indicates that under such a strategy, the inertial effect dominates the behavior of the fluid inerter. Even when the independent fractional-order model is used, a high fitting accuracy can be achieved. Consequently, by designing the structural parameters and fluid medium of the fluid inerter based on the rough design strategy, the model can be simplified. Moreover, compared with traditional nonlinear inerter models, the transfer function and eigenvalue analysis methods can be effectively applied. This enables the acquisition of more comprehensive theoretical research results, thereby greatly facilitating theoretical analysis.
Authors
- Ning Chen (ORCID: https://orcid.org/0000-0002-3654-7898)
- Yandong Chen (ORCID: https://orcid.org/0000-0003-1069-4272)
Institutions
- Nanjing Forestry University (CN)
- Wuxi Taihu Hospital (CN)
Publication Details
- Journal
- Materials
- Published
- 2025-05-29
- DOI
- https://doi.org/10.3390/ma18112556
- Citations
- 2
- Primary Topic
- Vibration Control and Rheological Fluids
- Type
- article
- Field-Weighted Citation Impact
- 1.91