Principal force pattern and impulse response mode for structural equivalent force estimation and full-field response reconstruction

被引:8
|
作者
Li, Yixian [1 ,2 ]
Tian, Wei [1 ]
Xia, Yong [1 ,3 ]
Sun, Limin [1 ,2 ,4 ]
机构
[1] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong, Peoples R China
[2] Tongji Univ, Sch Civil Engn, Dept Bridge Engn, Shanghai, Peoples R China
[3] Huazhong Univ Sci & Technol, Sch Civil & Hydraul Engn, Wuhan, Peoples R China
[4] Tongji Univ, State Key Lab Disaster Reduct Civil Engn, Shanghai, Peoples R China
关键词
Impulse response mode; Equivalent force; Full-field response reconstruction; Dynamic stiffness; Uncertainty quantification; MINIMUM-VARIANCE INPUT; STATE ESTIMATION; LOAD IDENTIFICATION; KALMAN FILTER; SYSTEMS;
D O I
10.1016/j.ymssp.2023.110660
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
An impulse response mode-based approach is proposed in this study to estimate the equivalent force and achieve full-field monitoring under complex loading conditions. The structural impulse responses to quasi-static and dynamic forces are decomposed as the superposition of a set of predefined representative basis to provide the low-rank property of responses. The principal impulse response modes are calculated from the correlation matrix of the impulse responses in a time step using the principal component analysis. The principal relative force pattern is the eigenvector of the correlation matrix, and the truncation number is determined by the distribu-tion of the eigenvalues. The equivalent force is subsequently defined and solved by the dynamic stiffness method. The full-field responses are then reconstructed by calculating the model responses to the estimated equivalent force. The systematic uncertainty is also quantified by an error propagation method for sensor placement optimization. Numerical examples and experimental tests demonstrate that the proposed methodology can estimate the equivalent force and reconstruct the structural responses accurately under various load scenarios.
引用
收藏
页数:19
相关论文
共 20 条
  • [1] Finite element model-informed deep learning for equivalent force estimation and full-field response calculation
    Li, Yixian
    Ni, Peng
    Sun, Limin
    Xia, Yong
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2024, 206
  • [2] Full-field response monitoring in structural systems driven by a set of identified equivalent forces
    Lourens, E.
    Fallais, D. J. M.
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 114 : 106 - 119
  • [3] Bayesian virtual sensing for full-field dynamic response estimation
    Kullaa, Jyrki
    [J]. X INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS (EURODYN 2017), 2017, 199 : 2126 - 2131
  • [4] General Conditions for Full-Field Response Monitoring in Structural Systems Driven by a Set of Identified Equivalent Forces
    Lourens, Eliz-Mari
    Fallais, Dominik
    [J]. EXPERIMENTAL VIBRATION ANALYSIS FOR CIVIL STRUCTURES: TESTING, SENSING, MONITORING, AND CONTROL, 2018, 5 : 225 - 236
  • [5] An optimal sparse sensing approach for scanning point selection and response reconstruction in full-field structural vibration testing
    Yuan, Jie
    Szydlowski, Michal
    Wang, Xing
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2024, 212
  • [6] Predicting the structural response of a compartment fire using full-field heat transfer measurements
    Hodges, Jonathan
    Rippe, Christian
    Case, Scott W.
    Lattimer, Brian Y.
    [J]. FIRE SAFETY JOURNAL, 2017, 91 : 471 - 479
  • [7] Full response prediction for locally modified mechanical systems using the concept of equivalent additional force
    Liao, Xuhui
    Li, Shunming
    Xu, Yong
    Meng, Haodong
    Zhao, Jingbo
    [J]. JOURNAL OF SOUND AND VIBRATION, 2020, 479
  • [8] Real-time reconstruction method of full-field dynamic response of rotating bladed disks
    Wei, Daitong
    Chen, Yugang
    Li, Hongkun
    Zhang, Xiaowen
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2023, 188
  • [9] Real-Time Response Estimation of Structural Vibration with Inverse Force Identification
    Oh, Seungin
    Lee, Hanmin
    Lee, Jai-Kyung
    Yoon, Hyungchul
    Kim, Jin-Gyun
    [J]. STRUCTURAL CONTROL & HEALTH MONITORING, 2023, 2023
  • [10] Reconstruction of atomic force microscope image using estimated tip shape from impulse response technique
    Harada, Yasuhiko
    Sone, Hayato
    Yin, You
    Hosaka, Sumio
    [J]. ADVANCED MICRO-DEVICE ENGINEERING IV, 2014, 596 : 147 - 151