地震工程与工程振动2024,Vol.44Issue(5) :118-124.DOI:10.13197/j.eeed.2024.0511

基于绝对加速度观测量的地震动时程及结构参数识别研究

Identification of ground motion time history and structural parameters based on absolute acceleration observations

贺佳 李静贤 张肖雄
地震工程与工程振动2024,Vol.44Issue(5) :118-124.DOI:10.13197/j.eeed.2024.0511

基于绝对加速度观测量的地震动时程及结构参数识别研究

Identification of ground motion time history and structural parameters based on absolute acceleration observations

贺佳 1李静贤 1张肖雄1
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作者信息

  • 1. 湖南大学 土木工程学院,湖南 长沙410000;风工程与桥梁工程湖南省重点实验室,湖南 长沙410000
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摘要

针对未知地震作用下框架结构的参数识别问题,提出了一种基于扩展卡尔曼滤波(extended Kalman filter,EKF)的地震动时程反演与结构参数识别方法.首先,将首层底板的层间边界力视作未知外激力,利用未知激力下的EKF算法识别此未知激励以及其余层的剪切刚度;其次,采用傅里叶变换,从绝对加速度时程中获取结构基频,进而根据特征方程识别首层刚度系数;最后,基于识别的结构参数,进一步修正未知边界力,并结合Newmark-β法反演地震加速度时程.文中通过5层框架模型数值算例和振动台试验验证了本文算法的有效性.

Abstract

In this study,based on the extended Kalman filter (EKF),an approach is proposed for identifying unknown ground motion time history and structural parameters by using the absolute acceleration measurements.First,the interfacial force of the lower boundary of the 1st floor is considered as the unknown excitation.The EKF-based approach is employed for the identification of this unknown excitation and the remaining structural stiffness parameters.Then,by using Fourier transform,the structural natural frequencies can be obtained from the acceleration measurements and used for identifying structural stiffness of the 1st floor.Finally,based on these identified structural parameters,the unknown interfacial force mentioned above is updated and employed for identifying ground acceleration with the aid of Newmark-β method.The effectiveness of the proposed approach is validated via a numerical frame structure and a five-story experimental model under shaking table tests.

关键词

地震动时程反演/结构参数识别/扩展卡尔曼滤波/绝对加速度观测量

Key words

ground motion identification/structural parameters identification/extended Kalman filter/absolute acceleration observations

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基金项目

国家重点研发计划课题(2022YFC3005305)

出版年

2024
地震工程与工程振动
中国力学学会 中国地震局工程力学研究所

地震工程与工程振动

CSTPCDCSCD北大核心
影响因子:0.658
ISSN:1000-1301
参考文献量22
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