全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
工程力学  2012 

基于Bayesian估计的整体和局部信息融合的损伤识别

DOI: 10.6052/j.issn.1000-4750.2010.08.0612, PP. 234-240

Keywords: 损伤识别,信息融合,整体和局部信息,Bayesian理论,结构健康监测

Full-Text   Cite this paper   Add to My Lib

Abstract:

在结构损伤识别中,如何充分利用整体和局部传感器测试得到的信息来增加结果的准确性是一个值得研究的问题。该文提出基于Bayesian理论的结构整体局部信息融合的损伤识别方法。首先根据Bayesian理论建立了关于频率、位移模态和应变模态结构损伤的概率模型,静态应变信息提供了Bayesian理论的先验信息,使该概率模型充分利用了各种传感器信息;然后为了减少计算量,采用分步损伤识别的方法,在采用模态应变能指标初步定位损伤范围的基础上,用该文提出的逐个单元消去法定位损伤单元。最后对20跨刚桁架模型进行试验研究证明了该方法的有效性,并且比较考虑与不考虑应变传感器信息的损伤识别结果。

References

[1]  Xiao C, Qu W L, Tan D M. An application of data fusion technology in structural health monitoring and damage identification [C]. Smart Structures and Materials: Smart Sensor Technology and Measurement Systems, Proceedings of SPIE, 2005, 5758: 451―461.
[2]  Bao Y, Li H, Ou J. Dempster-Shafer evidence theory-based approach for online structural health monitoring [C]. Health Monitoring of Structural and Biological Systems, SPIE. San Diego, California, USA 2008: 69351T.1―69351T.10.
[3]  Jiang S F, Zhang C M, Zhang S. Two-stage structural damage detection using fuzzy neural networks and data fusion techniques [J]. Expert Systems with Applications, 2010, 28(1): 511―519.
[4]  Guo H Y. Structural damage detection using information fusion technique [C]. Mechanical Systems and Signal Processing, 2006: 1―16.
[5]  Song H, Law K H. A Bayesian probabilistic approach for structure damage detection [J]. Earthquake Engineering and Structural Dynamics, 1997, 26: 1259―1281. 3.0.CO;2-3 target="_blank">
[6]  Vanik M W, Beck J L, Au S K. Bayesian probabilistic approach to structural health monitoring [J]. Journal of Engineering Mechanics, 2000(6): 738―745.
[7]  Beck J L, Katafygiotis L S. Probabilistic system identifications and health monitoring of structures [C]. Proceedings of 10th World Conference on Earthquake Engineering. Balkema, Rotterdam, 1992.
[8]  Stubbs N, Kim J T, Farrar C R. Field verification of a nondestructive damage localization and severity estimation algorithm [C]. Proceedings of 13th International Modal Analysis Conference. Nashville, USA, 1995, 1: 210―218.
[9]  侯立群. 环境激励与噪声干扰下斜拉桥模态识别与损 伤定位[D]. 哈尔滨: 哈尔滨工业大学, 2004. Hou Liqun. Modal parameter identification and damage location detection of cable-stay bridges under ambient excitation and noise disturbance [D]. Harbin: Harbin Institute of Technology, 2004. (in Chinese)

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133