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Parametric identification of seismic isolators using differential evolution and particle swarm optimization

机译:基于差分进化和粒子群算法的隔震器参数识别

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摘要

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. (C) 2014 Elsevier B.V. All rights reserved.
机译:基础隔离系统的目的是通过在上层建筑和基础之间放置隔离器,使建筑物与地震的破坏部分脱钩。因此,对这些设备的正确识别是迈向可靠地模拟经受动态地震动的基础隔离系统的关键一步。从这个角度来看,这里介绍了通过实验动态测试对地震隔离器进行参数识别。在此过程中,重点是通过粒子群优化和差分进化来识别Bouc-Wen模型参数。本文特别关注使用标准化实验协议确定动态载荷条件的这些非经典参数识别技术的评估。对获得的输出的严格审查表明,可以有效地利用粒子群优化和差分演化来进行地震隔离器的参数识别。 (C)2014 Elsevier B.V.保留所有权利。

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