Parametric identification of seismic isolators using differential evolution and particle swarm optimization |
| |
| Affiliation: | 1. Department of Structural and Geotechnical Engineering, Sapienza University of Rome, via Eudossiana 18, 00184 Rome, Italy;2. Department of Civil Engineering and Architecture, Technical University of Bari, via Orabona 4, 70125 Bari, Italy;3. Department of Structural and Geotechnical Engineering, Sapienza University of Rome, via Gramsci 53, 00197 Rome, Italy;1. Department of Electrical and Computer Engineering, Islamic Azad University (IAU), Mahdishahr-Branch, Semnan, Iran;2. Department of Electrical and Computer Engineering, Shahid Beheshti University (SBU), AC, Tehran, Iran;1. Laboratoire d’électrotechnique et d’électronique industrielle L2EI, Université Mohamed Seddik Ben Yahia, BP98, Jijel 18000, Algeria;2. Fraunhofer Institute for Nondestructive Testing IZFP, Campus E3, 66123 Saarebruecken, Germany;3. Univ. Grenoble Alpes, CNRS, Grenoble INP, G2Elab, 21 avenue des Martyrs CS 90624, Grenoble 38031, France;1. Department of Civil and Environmental Engineering and Geodetic Science, The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, Columbus, OH 43210, USA;2. Department of Electrical and Computer Engineering, The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, Columbus, OH 43210, USA |
| |
| Abstract: | The objective of a base isolation system is to decouple the building from the damaging components of the earthquake by placing isolators between the superstructure and the foundation. The correct identification of these devices is, therefore, a critical step towards reliable simulations of base-isolated systems subjected to dynamic ground motion. In this perspective, the parametric identification of seismic isolators from experimental dynamic tests is here addressed. In doing so, the focus is on identifying Bouc–Wen model parameters by means of particle swarm optimization and differential evolution. This paper is especially concerned with the assessment of these non-classical parametric identification techniques using a standardized experimental protocol to set out the dynamic loading conditions. A critical review of the obtained outputs demonstrates that particle swarm optimization and differential evolution can be effectively exploited for the parametric identification of seismic isolators. |
| |
| Keywords: | Bouc–Wen model Differential evolution Hysteresis Parametric identification Particle swarm optimization Seismic isolator |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
