A Force Identification Method for Geometric Nonlinear Structures

被引:0
|
作者
Guo, Lina [1 ,2 ,3 ]
Ding, Yong [1 ,4 ,5 ]
机构
[1] Minist Emergency Management, Key Lab Earthquake Disaster Mitigat, Harbin 150080, Peoples R China
[2] China Earthquake Adm, Inst Engn Mech, Harbin 150080, Peoples R China
[3] Northeast Agr Univ, Coll Water Conservancy & Civil Engn, Harbin 150038, Peoples R China
[4] Harbin Inst Technol, Sch Civil Engn, Harbin 150090, Peoples R China
[5] Yan Chong Highway Adm, Zhangjiakou 075000, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 05期
关键词
load identification; hysteresis nonlinearity; geometric nonlinearity; unscented Kalman filter; Chebyshev polynomial; STATE ESTIMATION; INPUT FORCE; DYNAMICS; REGULARIZATION; PARAMETERS; ALGORITHM;
D O I
10.3390/app13053084
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Excitation identification for nonlinear structures is still a challenging problem due to the convergence and accuracy in this process. In this study, a load estimation method is proposed with orthogonal decomposition, the order for which can be fairly accurately determined by a regression. In this process, the force time history is represented by the orthogonal basis and the coefficients of the orthogonal decomposition are taken as unknowns and augmented to the state variable, which can be identified recursively in state space. A general energy-conserving method is selected to a step-by-step integration to guarantee the convergence of this integration. The proposed method is first validated by numerical simulation studies of a truss structure considering its geometric property. The identification results of the numerical studies demonstrate that the proposed excitation identification method and the orthogonal decomposition order determination method work well for nonlinear structures. The laboratory work of a 7-story frame is investigated to consider the geometric nonlinearity in impact force identification. The results of experimental studies show that uncertainties such as measurement noise and model error are included in the investigation of the accuracy and robustness of the proposed force identification method, while the time history of external forces could be identified with promising results.
引用
收藏
页数:16
相关论文
共 50 条
  • [11] Equivalent Force Control Method for Real-time Testing of Nonlinear Structures
    Wu, Bin
    Xu, Guoshan
    Shing, P. Benson
    JOURNAL OF EARTHQUAKE ENGINEERING, 2011, 15 (01) : 143 - 164
  • [12] Geometric and material nonlinear analysis of tensegrity structures
    Hoang Chi Tran
    Jaehong Lee
    Acta Mechanica Sinica, 2011, 27 : 938 - 949
  • [13] Alternating iterative method for moving force identification
    Liu, H. L.
    Li, C.
    Yu, L.
    BRIDGE MAINTENANCE, SAFETY, MANAGEMENT, LIFE-CYCLE SUSTAINABILITY AND INNOVATIONS, 2021, : 568 - 574
  • [14] Dynamics of microcantilever integrated with geometric nonlinearity for stable and broadband nonlinear atomic force microscopy
    Cho, Hanna
    Yu, Min-Feng
    Vakakis, Alexander F.
    Bergman, Lawrence A.
    McFarland, D. Michael
    SURFACE SCIENCE, 2012, 606 (17-18) : L74 - L78
  • [15] Multiple force identification for complex structures
    Adams, R
    Doyle, JF
    EXPERIMENTAL MECHANICS, 2002, 42 (01) : 25 - 36
  • [16] Robust Nonconvex Sparse Optimization for Impact Force Identification
    Liu, Junjiang
    Qiao, Baijie
    Wang, Yanan
    He, Weifeng
    Chen, Xuefeng
    INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS, 2024, 21 (02)
  • [17] Multiple force identification for complex structures
    Robert Adams
    James F. Doyle
    Experimental Mechanics, 2002, 42 : 25 - 36
  • [18] Bayesian optimal estimation for output-only nonlinear system and damage identification of civil structures
    Ebrahimian, Hamed
    Astroza, Rodrigo
    Conte, Joel P.
    Papadimitriou, Costas
    STRUCTURAL CONTROL & HEALTH MONITORING, 2018, 25 (04)
  • [19] Parameter identification of nonlinear bistable piezoelectric structures by two-stage subspace method
    Liu, Qinghua
    Cao, Junyi
    Hu, Fangyuan
    Li, Dan
    Jing, Xingjian
    Hou, Zehao
    NONLINEAR DYNAMICS, 2021, 105 (03) : 2157 - 2172
  • [20] Moving Force Identification based on Wavelet Finite Element Method
    You, Q.
    Law, S. S.
    Shi, Z. Y.
    FOURTH INTERNATIONAL CONFERENCE ON EXPERIMENTAL MECHANICS, 2010, 7522