Structural damage identification based on pattern matching using the flexibility change rate

Author:

Nie Zhenhua12,Chen Tao1ORCID,Xia Guanghao1,Li Zuanfeng1,Gao Ruofan12,Ma Hongwei23

Affiliation:

1. School of Mechanics and Construction Engineering Jinan University Guangdong Guangzhou China

2. The Key Laboratory of Disaster Forecast and Control in Engineering Guangdong Guangzhou China

3. School of Environment and Civil Engineering Dongguan University of Technology Dongguan China

Abstract

AbstractIn this paper, a rapid identification method for postearthquake structural damage is proposed based on pattern matching using the flexibility change rate. In the first stage, a small number of dynamic signals are collected for extracting the modal information, which is used as a reference for model updating. Using the updated finite element model of the structure to be monitored, the characteristic vector of the flexibility change rate is calculated by modal analysis from the first two orders of modal information of various damage scenarios to establish a pattern database. For the real structure, the measured responses are used to identify the modal parameters to calculate the flexibility change rate characteristic vector, which is treated as the observed pattern. Then, the similarity between the observed pattern and the pattern in the pattern database is calculated using the Euclidean distance (ED). The damage location and severity of the measured structure are treated to be the same as the pattern corresponding to the minimum value of ED, so that the damage is identified. Numerical simulations and experiments of two types of concentrated mass structures, four floors, and six floors confirm that the proposed method can identify the damage well. In addition, the matching results based on different sensor combinations demonstrate that the method can quickly identify the damage location and severity of a structure even using a limited number of sensors. The proposed method can provide support for the government in rapid postearthquake emergency decision‐making.

Publisher

Wiley

Reference26 articles.

1. Comparison of system identification methods using ambient bridge test data;Andersen P;Shock Vib Dig,2000

2. Van OverscheeP De MoorB.Subspace Algorithms for the Stochastic Identification Problem: Proceedings of the 30th IEEE Conference on Decision and Control  Brighton England 11‐13 December 1991.IEEE;1991.

3. Power spectrum estimation through autoregressive model fitting

4. Principal components algorithms for ARMA spectrum estimation

5. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3