Parameter identification of Steel-Net pad vibration isolator based on particle swarm optimization algorithms

Abstract To prove the effectiveness and accuracy of particle swarm optimization (PSO) algorithm for parameter identification of steel wire mesh mat isolator. The influence of different loading conditions on the mechanical properties of steel wire mesh gasket elements was investigated. The sinusoidal loading test was carried out to obtain the test response data. The mechanical properties of the wire mesh mat are described by a double-fold model, and the parameter identification equation of the isolator is established. The model parameters are identified by particle swarm optimization and test response data. It is proved that the hysteresis curves calculated by the identified parameters agree well with the experimental results. It is proved that the particle swarm optimization algorithm is effective and accurate for the parameter identification of steel wire mesh mat isolator. It is a parameter identification method with engineering application value.