On-line modal parameter monitoring of bridges exploiting multi-core capacity by recursive stochastic subspace identification method

被引:1
|
作者
Lin, Ping [1 ]
Zhang, Nanxiong [1 ]
Ni, Bin [1 ]
机构
[1] Natl Instruments Shanghai branch, DSP Grp, Shanghai, Peoples R China
关键词
D O I
10.1109/ACC.2008.4586563
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
On-line modal parameter monitoring of structures like bridges has compelling practical significance. This paper describes an example of applying recursive stochastic subspace identification methods to the monitoring of bridge modal parameters. The usual recursive stochastic subspace identification algorithm tailored to modal analysis is first presented in details. Then the algorithm is adapted to exploit the power of the multicore capacity of today's computers so as to improve the speed and effectiveness of the original algorithm. The results of the experiments based on the real data of Donghai Bridge have confirmed the above positive effects of the modified recursive stochastic subspace identification algorithm.
引用
收藏
页码:632 / 637
页数:6
相关论文
共 27 条
  • [21] Modal parameter identification of flexible spacecraft using the covariance-driven stochastic subspace identification(SSI-COV) method
    Yong Xie
    Pan Liu
    Guo-Ping Cai
    Acta Mechanica Sinica, 2016, 32 (04) : 710 - 719
  • [22] Stochastic Adaptive Learning Rate in an Identification Method: An Approach for On-line Drilling Processes Monitoring
    Ba, A.
    Hbaieb, S.
    Mechbal, N.
    Verge, M.
    2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9, 2009, : 5037 - +
  • [23] Identification of modal parameters and relaxation parameter for exponential non-viscous damping system using stochastic subspace method
    Shen, Renjie
    Qian, Xiangdong
    Zhou, Jianfang
    Lee, Chin-Long
    JOURNAL OF VIBRATION AND CONTROL, 2024, 30 (21-22) : 4709 - 4718
  • [24] A bootstrap-based stochastic subspace method for modal parameter identification and uncertainty quantification of high-rise buildings
    Xu, Kang
    Li, Qiu-Sheng
    Zhou, Kang
    Han, Xu-Liang
    JOURNAL OF BUILDING ENGINEERING, 2024, 87
  • [25] Modal Parameter Identification of the Improved Random Decrement Technique-Stochastic Subspace Identification Method Under Non-Stationary Excitation
    Wu, Jinzhi
    Hu, Jie
    Ma, Ming
    Zhang, Chengfei
    Ma, Zenan
    Zhou, Chunjuan
    Sun, Guojun
    APPLIED SCIENCES-BASEL, 2025, 15 (03):
  • [26] Stochastic subspace method for identification of operating modal parameters of gas turbine under multi-working condition in wide frequency domain
    Zuo Y.
    Pang C.
    Jiang Z.
    Feng R.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2023, 42 (07): : 226 - 236and311
  • [27] Modal parameter identification of structures under non-white noise ambient excitations using delay-index-based stochastic subspace method
    Hu, Yi-Ding
    Li, Dan
    Ren, Wei-Xin
    Li, Zi-Bing
    Zhendong yu Chongji/Journal of Vibration and Shock, 2015, 34 (08): : 71 - 76