|
| Parameter Identification of Steel-net Pad Vibration Isolator Based on Particle Swarm Optimization Algorithms |
| Received:August 08, 2024 Revised:August 28, 2024 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7643/issn.1672-9242.2024.09.012 |
| KeyWord:steel-netpad bilinear constitutive model particle swarm optimization parameter identification hysteresis loop nonlinear mechanics |
| Author | Institution |
| WANG Wei |
State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing , China |
| WANG Ke |
State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing , China |
| WAN Jingze |
State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing , China |
|
| Hits: |
| Download times: |
| Abstract: |
| The work aims to prove the effectiveness and accuracy of particle swarm optimization algorithm for parameter identification of steel-net pad vibration isolator and investigate the effects of different loading conditions on the mechanical properties of steel-net pad. The sinusoidal loading test was carried out on the steel-net pad to obtain the test response data. The mechanical properties of the steel-net pad were described by the bilinear constitutive model, and the parameter identification equation of the vibration isolator was established. The particle swarm optimization algorithm and the test response data were used to identify the model parameters, and the variation of the identification parameters under different loading conditions was studied. The hysteresis loop calculated by the identified parameters was in good agreement with the experimental results. By changing the excitation amplitude and frequency, the primary stiffness, tertiary stiffness, slip stiffness and equivalent damping of the steel-net pad all changed regularly, while by changing the static load of the steel mesh pad, the curve changed very little. The study proves the effectiveness and accuracy of the particle swarm optimization algorithm in identifying the parameters of steel-net pad vibration isolator. It represents a parameter identification method with significant engineering application value. |
| Close |
|
|
|