[1]张敏,谢慧才,Sung-Han Sim,等.基于随机子空间的分布式结构模态参数识别[J].深圳大学学报理工版,2009,26(4):394-399.
 ZHANG Min,XIE Hui-cai,Sung-Han Sim,et al.Distribution modal identification based on stochastic subspace method[J].Journal of Shenzhen University Science and Engineering,2009,26(4):394-399.
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基于随机子空间的分布式结构模态参数识别()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第26卷
期数:
2009年4期
页码:
394-399
栏目:
土木建筑工程
出版日期:
2009-10-31

文章信息/Info

Title:
Distribution modal identification based on stochastic subspace method
文章编号:
1000-2618(2009)04-0394-06
作者:
张敏1谢慧才2Sung-Han Sim3B.F.Spencer Jr.3
1)汕头大学工学院,汕头 515063;
2)深圳大学土木工程学院,深圳 518060;
3)伊利诺伊大学香槟分校工学院,美国香槟 61801
Author(s):
ZHANG Min1XIE Hui-cai2Sung-Han Sim3and B.F.Spencer Jr.3
1)College of Engineering,Shantou University,Shantou 515063,P. R. China
2)College of Civil Eingineering,Shenzhen University,Shenzhen 518060,P. R. China
3)College of Environmental Engineering,University of Illinois at Urbana-Champaign,Champaign 61801,USA
关键词:
结构健康监测传感器网络结构随机子空间粒子群优化算法模态参数
Keywords:
structural health monitoringsmart sensor networksstochastic subspace identificationparticle swarm optimizationmodal parameters
分类号:
TU 317
文献标志码:
A
摘要:
针对大型建筑结构集中处理庞大数据获得结构模态参数的不便性,提出适用于密集布排的传感器网络结构的分布式模态参数识别方法.以混凝土钢管拱桥为实验平台,按不同子结构划分工况,通过随机子空间方法有效地从环境激励下的响应中提取子结构模态参数,结合稳定图进行子结构系统定阶,去除虚假模态.利用粒子群优化算法和平均技术调整子结构振型,获取桥梁结构的整体振型.以模态置信度为判据对比分析该分布式算法和集中式算法的识别结果.结果表明,该方法具有良好的识别效果,可用于不同形式复杂结构的模态振型识别.
Abstract:
For large-scale civil structures,the rich information can be harvested from a dense array of sensors.This is a big challenge for centralized processing technique.A distributed method to obtain modal parameters in smart sensor networks (SSN) with a dense array of sensors is proposed.Using a concrete-filled steel arch bridge as a testing model,Stochastic subspace identification is implemented to identify local modal parameters from ambient vibration response for the different subgroups cases.Stabilization diagram is a novel approach to define the rank of the system while get rid of noisy modes.Global mode shape is combined from rescaled local mode shapes through particle swarm optimization and average method.The results show that it enjoys a better efficiency according to modal assurance criterion (MAC).This distributed method can be applied to any other complicated structures to determine modal parameters.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2009-03-22;修回日期:2009-07-26
基金项目:国家自然科学基金资助项目(50678099)
作者简介:张敏(1980-),女(汉族),陕西省铜川市人,汕头大学博士研究生.E-mail:mzhang2@stu.edu.cn
通讯作者:谢慧才(1945-),男(汉族),深圳大学教授、博士生导师.E-mail:huicaixie@hotmail.com
更新日期/Last Update: 2009-11-09