Damping identification of lightly damped linear dynamic systems using common-base proper orthogonal decomposition

被引:7
|
作者
Andrianne, T. [1 ]
Dimitriadis, G. [1 ]
机构
[1] Univ Liege, Dept Aerosp & Mech Engn, B-4000 Liege, Belgium
关键词
Damping identification; POD; Linear dynamical systems; PHYSICAL INTERPRETATION; VIBRATION; MODES;
D O I
10.1016/j.ymssp.2011.10.012
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper presents a new technique to identify the damping of linear systems. It is developed from the Proper Orthogonal Decomposition (POD) of the free response of the system and extended to the recently proposed Common-base POD (CPOD). The present application of CPOD considers simultaneously several free responses of the system to different initial conditions. The Eigen-decomposition of the co-variance matrix leads to a unique vector basis which is likely to contain more information about the dynamics of the system than a vector basis obtained by the classic POD technique. The ability of the technique to estimate the mode shapes and the modal damping is demonstrated on a simulated mass-spring-damper system. Two different distributions of masses are considered in order to confront the CPOD analysis to the intrinsic limitation of POD, i.e. that the mode shapes are identified exactly only if the mass matrix is proportional to the identity matrix. It is shown that the identification of the damping is still possible when the modes are not orthonormal. The robustness of the technique is demonstrated in the presence of noise in the responses of the system and through an experimental application with comparison with other identifications techniques. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:492 / 506
页数:15
相关论文
共 50 条
  • [1] Damping identification of linear dynamic systems using Common-base Proper Orthogonal Decomposition
    Andrianne, T.
    Dimitriadis, G.
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2012) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2012), 2012, : 2745 - 2753
  • [2] Common-base proper orthogonal decomposition as a means of quantitative data comparison
    Kriegseis, J.
    Dehler, T.
    Gnirss, M.
    Tropea, C.
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2010, 21 (08)
  • [3] Linear system identification using proper orthogonal decomposition
    Khalil, Mohammad
    Adhikari, Sondipon
    Sarkar, Abhijit
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (08) : 3123 - 3145
  • [4] The identification of coherent structures using proper orthogonal decomposition and dynamic mode decomposition
    Zhang, Qingshan
    Liu, Yingzheng
    Wang, Shaofei
    JOURNAL OF FLUIDS AND STRUCTURES, 2014, 49 : 53 - 72
  • [5] Parameter identification of nonlinear mechanical systems using Proper Orthogonal Decomposition
    Univ of Liege, Liege, Belgium
    Proceedings of the International Modal Analysis Conference - IMAC, 2000, 1 : 133 - 139
  • [6] Parameter identification of nonlinear mechanical systems using proper orthogonal decomposition
    Lenaerts, V
    Kerschen, G
    Golinval, JC
    IMAC-XVIII: A CONFERENCE ON STRUCTURAL DYNAMICS, VOLS 1 AND 2, PROCEEDINGS, 2000, 4062 : 133 - 139
  • [7] Reduction of Multibody Dynamic Models in Automotive Systems Using the Proper Orthogonal Decomposition
    Masoudi, Ramin
    Uchida, Thomas
    McPhee, John
    JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS, 2015, 10 (03):
  • [8] Dynamic Identification of a Lightly Damped Slender Structure Using Compressive Sensing
    Zerbino, Matteo
    Orlando, Andrea
    Bisio, Igor
    Pagnini, Luisa C.
    IEEE ACCESS, 2024, 12 : 153171 - 153180
  • [9] Linear system identification using proper orthogonal decomposition (vol 21, pg 3123, 2007)
    Khalil, Mohammad
    Adhikari, Sondipon
    Sarkar, Abhijit
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2009, 23 (04) : 1413 - 1413
  • [10] Structure identification in pipe flow using proper orthogonal decomposition
    Hellstrom, Leo H. O.
    Smits, Alexander J.
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2017, 375 (2089):