Identification of Analysis Parameter based on Earthquake Observation of Seismic Isolation Building

Abstract

Recently, Seismic Isolation Building is increasing for reducing damages from earthquake. However, isolation devices in building use nonlinear characteristic positively. So that, it is difficult to verify the behavior of building by comparing analysis results and real behaviors. So, in this paper, we make new analysis model of Tokyo Denki University No.1 building in Senju, which is seismic isolation building, with all isolation elements, and we analyze it. Also, we verify new analysis results and old analysis results, which is used model of elastic deformation only. As a result, the waveforms of analysis result approach the waveforms of observation result, and precision is increased. In addition, we are developing meta-heuristic program like Particle Swarm Optimization and Differential Evolution currently, and we confirmed that they can found suitable parameter. We aim to identify parameters by using these meta-heuristic methods in the future.