COMPARISON OF VARIOUS TECHNIQUES USED FOR ESTIMATION OF INPUT FORCE AND COMPUTATION OF FREQUENCY RESPONSE FUNCTION (FRF) FROM MEASURED RESPONSE DATA

被引:0
|
作者
Rajkumar, S. [1 ]
Bhagat, Alok Dewanand [1 ]
Sujatha, C. [1 ]
Narayanan, S. [1 ]
机构
[1] Indian Inst Technol Madras, Madras, Tamil Nadu, India
关键词
INVERSE METHOD; IDENTIFICATION; BEAM;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Inverse problems such as input force estimation from the response (acceleration/velocity/displacement) of structures play a vital role in applications where the input forces acting on structures cannot be measured directly, e.g., the wind excitation load acting on a bridge or on a multi-storey building and also in estimation of modal parameters of a system from FRFs. Hence in this paper various force estimation techniques have been compared through studies on a mild steel cantilever beam using approaches such as (i) Sum of weighted acceleration technique (SWAT), (ii) Pseudo inverse method, (iii) Kalman filter and (iv) Empirical approach for system identification. The last method has been carried out for the first time in solving inverse problems. SWAT involves estimation of input forces in time domain using weights which are computed based on a reference input force, whereas pseudo inverse technique is carried out in frequency domain by computing FRFs. In Kalman filter technique, the system is modelled in terms of state space equations and system parameters are necessary for estimating input force. The empirical method for system identification involves obtaining the empirical relationship between the response data and input force, using which the latter can be estimated. Studies have been carried out on a mild steel cantilever beam. An electrodynamic shaker has been used for imparting the required input load on the beam and piezoelectric accelerometers for sensing the responses. In each method, estimated forces are compared with the measured forces and the computed FRFs are compared with those obtained through modal analysis. Percentage errors are then calculated, based on which the best approach for force identification is obtained. Comparisons are also carried out based on the complexity in modelling, computation efficiency based on time required for estimation, transducer requirement,
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Estimation of modal parameters of civil structures from frequency response function
    Cacho-Perez, M.
    Frechilla, N.
    Lorenzana, A.
    REVISTA INTERNACIONAL DE METODOS NUMERICOS PARA CALCULO Y DISENO EN INGENIERIA, 2017, 33 (3-4): : 197 - 203
  • [22] Frequency response function data of a composite plate under various damage identification scenarios
    Dwek, Nathan
    Janssens, Dennis
    Dimopoulos, Vasileios
    Kirchner, Matteo
    Deckers, Elke
    Naets, Frank
    DATA IN BRIEF, 2025, 59
  • [23] Run-Time Cutting Force Estimation Based on Learned Nonlinear Frequency Response Function
    Fabro, Jacob
    Vogl, Gregory W.
    Qu, Yongzhi
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2022, 144 (09):
  • [24] Real-Time Frequency Response Estimation from Flight Data
    Holzel, Matthew S.
    Morelli, Eugene A.
    JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2012, 35 (05) : 1406 - 1417
  • [25] Prediction of frequency response function (FRF) of asymmetric tools from the analytical coupling of spindle and beam models of holder and tool
    Oezsahin, O.
    Altintas, Y.
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2015, 92 : 31 - 40
  • [27] SYNTHESIS OF TRANSFER-FUNCTION FROM FREQUENCY-RESPONSE DATA
    SANATHANAN, CK
    TSUKUI, H
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1974, 5 (01) : 41 - 54
  • [28] METHODS AND APPLICATION OF STRUCTURAL MODELING FROM MEASURED STRUCTURAL FREQUENCY-RESPONSE DATA
    GOYDER, HGD
    JOURNAL OF SOUND AND VIBRATION, 1980, 68 (02) : 209 - 230
  • [29] Data-Driven Estimation of Frequency Response From Ambient Synchrophasor Measurements
    Phuc Huynh
    Zhu, Hao
    Chen, Qianli
    Elbanna, Ahmed E.
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (06) : 6590 - 6599
  • [30] Hilbert transform-based frequency response function estimation from run-up response of rotors
    Chandra, N. Harish
    Sekhar, A. S.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2018, 232 (12) : 2200 - 2210