Element level structural damage detection with limited observations and with unknown inputs

被引:0
|
作者
Lei, Y. [1 ]
Lei, J. Y. [1 ]
Song, Y. [1 ]
机构
[1] Xiamen Univ, Sch Architecture & Civil Engn, Dept Civil Engn, Xiamen 361005, Peoples R China
基金
中国国家自然科学基金;
关键词
damage detection; system identification; unknown inputs; time domain analysis; recursive least-squares method; finite elements;
D O I
10.1117/12.720666
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
In practical structural health monitoring, it is essential to develop an efficient technique which can detect structural local damage utilizing only a limited number of measured acceleration responses of structures subject to unknown (unmeasured) excitations inputs. In this paper, a finite-element based time domain system identification method is proposed for this purpose. Structure state vectors are treated as implicit functions of structural dynamic parameters and excitations. The unknown structural dynamic parameters and excitation inputs are identified by an algorithm based on recursive least squares estimation with unknown excitations (RLSE-UI). Structural damage at element level is detected by the degrading of stiffness of damaged structural elements. Numerical simulation of a 3-story building demonstrates the proposed method can identify structural element stiffness parameters with good accuracy and structural damage at element level can be located from the degrading of element stiffness parameters.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Structural damage detection of a shear building under unknown earthquake excitation with limited observations of absolute acceleration reponses
    Lei, Ying
    Ni, Ping-He
    Liu, Chao
    Zhendong yu Chongji/Journal of Vibration and Shock, 2012, 31 (06): : 96 - 99
  • [2] On-line structural damage detection based on limited response observations
    Lei, Ying
    Zhou, Huan
    Zhendong yu Chongji/Journal of Vibration and Shock, 2014, 33 (17): : 161 - 166
  • [3] Structural damage identification with unknown external inputs based on the sparse constraint
    Wei, Da
    Li, Dongsheng
    Cai, Enjian
    Huang, Jiezhong
    Guo, Xin
    SMART MATERIALS AND STRUCTURES, 2023, 32 (08)
  • [4] Structural damage identification using adaptive extended Kalman filter with unknown inputs
    State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing
    210016, China
    Zhendong Gongcheng Xuebao, 6 (827-834):
  • [5] An adaptive extended Kalman filter for structural damage identifications II: unknown inputs
    Yang, J. N.
    Pan, S.
    Huang, H.
    STRUCTURAL CONTROL & HEALTH MONITORING, 2007, 14 (03): : 497 - 521
  • [6] Damage localization in systems with unknown inputs
    Bernal, Dionisio
    Damage Assessment of Structures VII, 2007, 347 : 107 - 112
  • [7] Experimental Study of an Adaptive Sequential Nonlinear LSE with Unknown Inputs for Structural Damage Tracking
    Mu, Tengfei
    Zhou, Li
    Yang, Jann N.
    SHOCK AND VIBRATION, 2014, 2014
  • [8] Element level system identification for structural damage assessment
    Sun, Z.
    Chang, C. C.
    Sun, L. M.
    STRUCTURAL HEALTH MONITORING AND INTELLIGENT INFRASTRUCTURE, VOLS 1 AND 2, 2006, : 885 - 891
  • [9] Structural damage detection with limited input and output measurement signals
    Lei, Ying
    Jiang, Yongqiang
    Xu, Zhiqian
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2012, 28 : 229 - 243
  • [10] Effect of limited modal and noise information on structural damage detection
    Instituto de Ingeniería, Universidad Nacional Autónoma de México, Apdo. Postal 70-472, Coyoacán 04510, Mexico
    WSEAS Trans. Inf. Sci. Appl., 2006, 7 (1247-1252):